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Journal articles on the topic 'Patient and heart disease'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Hamed Awad Mohammed, Manal. "Echocardiographic Changes in Rheumatic Heart Disease Patient in Port Sudan." International Journal of Science and Research (IJSR) 12, no. 3 (2023): 1767–74. http://dx.doi.org/10.21275/mr23315125057.

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2

Hamed Awad Mohammed, Manal. "Hematological Changes in Rheumatic Heart Disease Patient in Port Sudan." International Journal of Science and Research (IJSR) 12, no. 5 (2023): 875–77. http://dx.doi.org/10.21275/sr23503142224.

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3

Abdul, Kader Mohiuddin. "An Extensive Review of Patient Behavior." PharmaTutor 7, no. 8 (2019): 1–21. https://doi.org/10.29161/PT.v7.i8.2019.1.

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The most frequent causes of death in the United States and globally are chronic diseases, including heart disease, cancer, lung diseases, and diabetes. Behavioral factors, particularly tobacco use, diet and activity patterns, alcohol consumption, sexual behavior, and avoidable injuries are among the most prominent contributors to mortality. Projections of the global burden of disease for the next two decades include increases in noncommunicable diseases, high rates of tobacco-related deaths, and a dramatic rise in deaths from HIV/AIDS. Worldwide, the major causes of death by 2030 are expected

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4

Hamed Awad Mohammed, Manal. "Electrocardiograph (ECG) Findings on Rheumatic Heart Disease Patient in Port Sudan." International Journal of Science and Research (IJSR) 12, no. 5 (2023): 878–83. http://dx.doi.org/10.21275/sr23503140910.

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5

Husein, Muhammad. "The Importance of Heart Rehabilitation for Coronary Heart Disease Patients." Jurnal Ilmiah Kesehatan Keperawatan 15, no. 1 (2019): 07. http://dx.doi.org/10.26753/jikk.v15i1.297.

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Coronary heart disease has now become a global cardiovascular problem with a high mortality rate. Regarding the mortality and morbidity rates of patients with high myocardial infarction, appropriate treatment is needed for patients. Three interventions were performed on coronary heart disease patients, thrombolytic interventions, percutaneous coronary intervention, and coronary artery graft bypass (CABG). Cardiac Rehabilitation is a treatment protocol recommended for the treatment of heart disease, and has been developed from a simple multidisciplinary sponsored patient monitoring process that

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6

Zühlke, Liesl, Susan Perkins, and Sithembile Cembi. "Rheumatic heart disease patient event." European Heart Journal 39, no. 19 (2018): 1669–71. http://dx.doi.org/10.1093/eurheartj/ehy199.

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7

Ramsay, James. "The patient with heart disease." Canadian Journal of Anaesthesia 43, S1 (1996): R99—R107. http://dx.doi.org/10.1007/bf03011672.

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8

Reddy, P. Ram Mohan, R. Vinola, T. Samyuktha, D. Sujin, S. Saran Kumar, and D. Hepcy Kalarani. "Diabetic Heart Disease." British Journal of Multidisciplinary and Advanced Studies 4, no. 4 (2023): 26–30. http://dx.doi.org/10.37745/bjmas.2022.02544.

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Changes in the human environment, behavior, and lifestyle are contributing to the upsurge in the incidence of diabetes. However, better management has resulted in a longer survival of patients with diabetes, but it is accompanied by long-term chronic complications due to hyperglycemia. Individuals with diabetes most often die of cardiovascular disease (CVD) rather than from a cause uniquely related to diabetes, such as ketoacidosis or hypoglycemia. Diabetic patients have a twofold to six-fold higher incidence of cardiovascular disease than nondiabetic population. Furthermore, diabetic patients

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9

Ali Shah, Mishkat, Habib Ur Rehman, Noor Habib, Sijad Ur Rehman, Muhammad Ishaq, and Romana Bibi. "Frequency of Congenital Heart Disease in Patients with Down Syndrome." Journal of Gandhara Medical and Dental Science 10, no. 2 (2023): 88–91. http://dx.doi.org/10.37762/jgmds.10-2.381.

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OBJECTIVES Frequency of congenital heart disease in patients with Down syndrome.METHODOLOGY This study was conducted in Hayatabad Medical Complex, Peshawar from 10th May 2021 to 9th November 2021. A total of 377 patients of age 1 to 10 years and both gender were included in the study. Those with already diagnosed cases of congenital heart disease and dysmorphic features other than Down syndrome were excluded from the study. All patients were undergone echocardiography and patient with PDA, VSD, ASD, ASVSD, and TOF were labeled as having congenital heart diseases.RESULTSMean age was 5.96 ±1.954

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10

Qodirova, Gulchekhrakhon Ibrakhimovna. "Gas Analytic Method For Diagnostics Of Ischemic Heart Disease." American Journal of Medical Sciences and Pharmaceutical Research 03, no. 01 (2021): 41–45. http://dx.doi.org/10.37547/tajmspr/volume03issue01-07.

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The enormous damage to human health from cardiovascular disease (CVD) poses significant challenges to both clinicians and public health workers. In most cases, CVDs develop latently; their clinical signs appear at a late stage. Often, patients are unaware of the presence of the disease and die suddenly; it is extremely rare for a doctor to have the opportunity to examine a patient before his cardiovascular system is seriously affected. It follows from this that therapeutic measures alone cannot solve the problem of death from CVD. There is a need to make significant changes in research methods

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Karetnikova, V. N., and A. G. Neyeshpapa. "Successful drug therapy of chronic heart failure in a patient with complex cardiomyopathy and type 2 diabetes mellitus." RMJ, no. 9 (2024): 34–39. https://doi.org/10.32364/2225-2282-2024-9-6.

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Chronic heart failure is an outcome of various cardiac diseases (including ischemic heart disease and hypertension), especially in the absence of adequate therapy for the underlying disease. Type 2 diabetes mellitus not only exacerbates the course of existing heart failure, but also contributes to its development. Patients with a combination of the above mentioned conditions need comprehensive treatment to compensate all the pathological links of diseases with mutual aggravation. Advanced complex therapy for heart failure can significantly improve the subjective and objective status, as well a

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12

Khatun, Shohda, Ashis Kumar Biswas, Sojeeb Dhar, et al. "Prevalence of Periodontal Disease in Patients of Ischemic Heart disease at Bangabandhu Sheikh Mujib Medical University." University Heart Journal 7, no. 2 (2012): 73–75. http://dx.doi.org/10.3329/uhj.v7i2.10842.

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The aim of the stuey is to evaluate the association of periodontal condition of patients with Ischemic Heart disease at a university hospital in Bangladesh. This study was done at Bangabandhu Sheikh Mujib Medical University. Two group of patients was selected. Case group of 25 patients with history ischemic heart disease was selected at OPD of cardiology department another control group 25 patient was selected at dental OPD of BSMMU. Data were analyzed by SPSS, Version 10. In this study, The mean age (±SD) of patients was 50.4±8.49 years in the case group and 49.6±10.9 years in the control gro

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13

Vinothini, S., Ishaan Singh, Sujaya Pradhan, and Vipul Sharma. "Heart Disease Prediction." International Journal of Engineering & Technology 7, no. 3.12 (2018): 750. http://dx.doi.org/10.14419/ijet.v7i3.12.16494.

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Machine learning algorithm are used to produce new pattern from compound data set. To cluster the patient heart condition to check whether his /her heart normal or stressed or highly stressed k-means clustering algorithm is applied on the patient dataset. From the results of clustering ,it is hard to elucidate and to obtain the required conclusion from these clusters. Hence another algorithm, the decision tree, is used for the exposition of the clusters of . In this work, integration of decision tree with the help of k-means algorithm is aimed. Another learning technique such as SVM and Logist

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14

Elgyoum, Ala M. A., Suheir M. Khalifa, Mogahid M. A. Zidan, Abbas Omer, Hisham A. Y. Gasmallah, and Elsafi M. A. "Characterization of Heart Valves in Rheumatic Heart Disease Patient Using Echocardiography." Scholars Journal of Applied Medical Sciences 9, no. 4 (2021): 954–59. http://dx.doi.org/10.36347/sjams.2021.v09i06.026.

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We aimed to evaluate the valves of the heart and the severity of valvular lesion in rheumatic heart disease patients using echocardiography to help patients treat the disease. A retrospective descriptive and analytic study including 60 consecutive patients (44 males and 16 females, with a mean age of 40 years) was conducted by evaluating a total of 60 echocardiography examinations of the heart. Tests were performed with a direct adhesion technology with convex and sector transducers with frequency ranges between 2 to 4 MH. The results show a high frequency of degenerative valve diseases like m

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15

Abed, Hatif Ali, and Kareem Reshak Sachet. "The Influence of Depression on Health-related Quality of Life among Patients with Heart Diseases." Pakistan Journal of Medical and Health Sciences 16, no. 4 (2022): 830–32. http://dx.doi.org/10.53350/pjmhs22164830.

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Background: Heart disease is the highest cause of death in Europe and the rest of the world. Patients with symptomatic heart disease may benefit from emergency heart disease intervention Aims of the study: assess the Influence of Depression on Health-related Quality of Life among Patients with Heart Diseases Methodology: A descriptive cross-sectional study was carried out from period December 15th, 2021 through May 15th, 2022 at Al-Samawah Teaching Hospital's Center Coronary Care Unit, and A non-probability (purposive) sample of the study consisted of (100) patients with heart diseases were se

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16

Kumar, Krishna, Narendra Kumar, Aman Kumar, et al. "Identification of Cardiac Patients Based on the Medical Conditions Using Machine Learning Models." Computational Intelligence and Neuroscience 2022 (July 20, 2022): 1–15. http://dx.doi.org/10.1155/2022/5882144.

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Chronic diseases are the most severe health concern today, and heart disease is one of them. Coronary artery disease (CAD) affects blood flow to the heart, and it is the most common type of heart disease which causes a heart attack. High blood pressure, high cholesterol, and smoking significantly increase the risk of heart disease. To estimate the risk of heart disease is a complex process because it depends on various input parameters. The linear and analytical models failed due to their assumptions and limited dataset. The existing studies have used medical data for classification purposes,

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17

Dinesen, Birthe, Helle Spindler, Jens Refsgaard, and Malene Hollingdal. "Future Patient: Telerehabilitation of Patients With Heart Failure Empower Patients." Iproceedings 8, no. 1 (2022): e41491. http://dx.doi.org/10.2196/41491.

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Background Heart failure is one of the most common cardiovascular diseases that causes mortality, and patients’ participation in rehabilitation programs is often low. During the COVID-19 pandemic, the Future Patient Telerehabilitation Program developed for patients with heart failure offered a new approach. The aim of the Future Patient program has been to increase the quality of life and educate patients to monitor any worsening of their symptoms. Patients used self-tracking devices for monitoring their physical activity, blood pressure, sleep, respiration, and pulse, with their data transmit

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18

Dr., G. Jayamurugan. "Predicting Heart Attack." International Research Journal of Computer Science 10, no. 06 (2023): 330–32. http://dx.doi.org/10.26562/irjcs.2023.v1006.10.

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Heart diseases are increasing day by day, and predicting these diseases is very important and worrying. This diagnosis is a difficult task because it must be done accurately and efficiently. Most studies focus on patients at risk for heart disease based on a variety of medical conditions. We proposed a heart disease predictor that uses the patient's medical history to predict whether a patient will be diagnosed with heart disease. We use various machine learning algorithms, such as logistic regression and KNN, to predict and classify heart patients. A useful way to formalize how the model can

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19

Abdul, Kader Mohiuddin. "Patient Behavior: an extensive review." Nursing & Care Open Access Journal 6, no. 3 (2019): 76–90. https://doi.org/10.15406/ncoaj.2019.06.00188.

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The most frequent causes of death in the United States and globally are chronic diseases, including heart disease, cancer, lung diseases, and diabetes. Behavioral factors, particularly tobacco use, diet and activity patterns, alcohol consumption, sexual behavior, and avoidable injuries are among the most prominent contributors to mortality. Projections of the global burden of disease for the next two decades include increases in noncommunicable diseases, high rates of tobacco-related deaths, and a dramatic rise in deaths from HIV/AIDS. Worldwide, the major causes of death by 2030 are expected

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20

Alston, R. P. "Heart Disease and the Surgical Patient." British Journal of Anaesthesia 100, no. 3 (2008): 425. http://dx.doi.org/10.1093/bja/aen004.

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21

Feder, Gene, Chris Griffiths, Sandra Eldridge, and Madeleine Gantley. "Patient empowerment and coronary heart disease." Lancet 356, no. 9237 (2000): 1278. http://dx.doi.org/10.1016/s0140-6736(05)73887-3.

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22

Wonderful, Ntepa. "Heart disease detection system." i-manager's Journal on Data Science & Big Data Analytics 2, no. 1 (2024): 1. http://dx.doi.org/10.26634/jds.2.1.20688.

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This paper presents a comprehensive exploration into the utilization of machine learning (ML) techniques to revolutionize medical diagnostics, with a specific focus on enhancing the detection of heart disease. Recognizing the imperative need for early diagnosis to address the global prevalence of heart disease, this study delves into the development and application of advanced ML principles. The paper aims to construct a robust ML model capable of analyzing diverse patient data sets, including electronic health records and genetic information, to discern intricate patterns and correlations imp

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23

Kakkeri, Shamshuddin R., Habibullah Attar, and Jandullah Khan. "Dermatoglyphics Pattern in Patients with Ischemic Heart Disease." Indian Journal of Forensic Medicine and Pathology 11, no. 2 (2018): 115–18. http://dx.doi.org/10.21088/ijfmp.0974.3383.11218.13.

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24

Jashveen, K. "Heart Disease Detection using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 11, no. 12 (2023): 1089–93. http://dx.doi.org/10.22214/ijraset.2023.57508.

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Abstract: Day by day the cases of heart diseases are increasing at a rapid rate and it’s very Important and concerning to predict any such diseases before hand. This diagnosis is a difficult task i.e. it should be performed precisely and efficiently. The research paper mainly focuses on which patient is more likely to have a heart disease based on various medical attributes. We prepared a heart disease prediction system to predict whether the patient is likely to be diagnosed with a heart disease or not using the medical history of the patient. We used different algorithms of machine learning

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25

Moons, P. "What do adult patients with congenital heart disease know about their disease, treatment, and prevention of complications? A call for structured patient education." Heart 86, no. 1 (2001): 74–80. http://dx.doi.org/10.1136/heart.86.1.74.

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26

Musa Abubakar, Abba Hamman Maidabara, Yusuf Musa Malgwi, and Abdulrahman Mohammed. "WEB BASED HEART DISEASE PREDICTION MODEL USING MACHINE LEARNING TECHNIQUE." Computer Science & IT Research Journal 5, no. 2 (2024): 518–27. http://dx.doi.org/10.51594/csitrj.v5i2.837.

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The cases of heart diseases are increasing at a rapid rate and it’s very important to take precaution to predict any such diseases beforehand. This diagnosis is a difficult task i.e. it should be performed precisely and efficiently. The research paper mainly focuses on wen based heart disease prediction technique based on various medical attributes. Heart disease prediction system were prepared to predict whether the patient is likely to be diagnosed with a heart disease or not using the medical history of the patient. We used different algorithms of machine learning such as logistic regressio

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27

Haque, Md Nazmul, and Syeda Tasnuva Maria. "Evaluation & Assessment of Chest Pain among Dyslipidemic Out-Door Patients without Prior Clinical Ischemic Heart Disease." Bangladesh Heart Journal 39, no. 1 (2024): 57–62. http://dx.doi.org/10.3329/bhj.v39i1.70672.

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Dyslipidemia is a significant risk factor for atherosclerotic cardiovascular diseases, including ischemic heart disease. However, hypercholesterolemia patients without a history of clinical ischemic heart disease (IHD) may experience chest pain that presents diagnostic and management challenges. This review aims to summarize the existing literature and assess the prevalence of chest pain in this specific patient without having previous heart disease. Bangladesh Heart Journal 2024; 39(1): 57-62

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Ritz, Eberhard. "NON-CORONARY HEART DISEASE IN DIALYSIS PATIENTS: Non-coronary Heart Disease in the Dialysis Patient-Introduction." Seminars in Dialysis 21, no. 4 (2008): 299. http://dx.doi.org/10.1111/j.1525-139x.2008.00461.x.

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PILLAY, D. "Post-infarction left ventricular pseudoaneurysm in a patient with Kawasaki's disease." Heart 86, no. 6 (2001): 692. http://dx.doi.org/10.1136/heart.86.6.692.

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30

Sarkar, Uttam Kumar, Anish Chatterjee, Suprit Basu, Atanu Pan, and Sumit Periwal. "Echocardiographic evaluation of simple versus complex congenital heart disease in a tertiary care Paediatrics Hospital." Journal of College of Medical Sciences-Nepal 13, no. 3 (2017): 327–29. http://dx.doi.org/10.3126/jcmsn.v13i3.18404.

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Background & Objectives:Congenital heart diseases are treatable either by catheter based intervention or open heart surgery according to their quality. In our study we aim to analyze congenital heart disease echocardiographically into simple versus complex heart disease at a tertiary care centre with a public health planning and policy making perspective.Materials & Methods:This hospital based study was done on 1010 patients, both from in-patient and out-patient, who were clinically suspected to have heart disease from January 2015 to September 2016 at Dr.B.C.Roy P.G.I.P.S. Kolkata and

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31

Podlesnikar, Tomaz, Victoria Delgado, and Jeroen J. Bax. "Imaging of Valvular Heart Disease in Heart Failure." Cardiac Failure Review 4, no. 2 (2018): 78. http://dx.doi.org/10.15420/cfr.2018.16.1.

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Valvular heart disease (VHD) and heart failure (HF) are major health issues that are steadily increasing in prevalence in Western populations. VHD and HF frequently co-exist, which can complicate the accurate diagnosis of the severity of valve stenosis or regurgitation and affect decisions about therapeutic options. Transthoracic echocardiography is the first-line imaging modality to determine left ventricular (LV) systolic function, to grade valvular stenosis or regurgitation and to characterise the mechanism underlying valvular dysfunction. 3D transoesophageal echocardiography, cardiovascula

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32

Accorsi, Tarso, Renato Nemoto, Matheus Amorim, and Gustavo Martinhago. "PACIENTE COM VALVOPATIA." Revista da Sociedade de Cardiologia do Estado de São Paulo 34, no. 2 (2024): 131–35. http://dx.doi.org/10.29381/0103-8559/20243402131-5.

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O ultrassom à beira-leito ou point-of-care ultrasound (POCUS) emerge como uma ferramenta promissora, superando a ausculta isolada na identificação de valvopatias, inclusive após intervenções cirúrgicas, mantendo um tempo de avaliação do paciente reduzido e promovendo economia de custos. No entanto, a literatura científica sobre sua eficácia ainda é limitada. Para a estenose aórtica, um escore proposto pela Sociedade Americana de Ecocardiografia demonstrou ser eficaz na detecção de valvopatias significativas, mesmo quando aplicado por profissionais não especializados em ecocardiografia. Quanto

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33

Zabeeulla, M., C. Sharma, and A. Anand. "Early Detection of Heart Disease Using Machine Learning Approach." CARDIOMETRY, no. 26 (March 1, 2023): 342–47. http://dx.doi.org/10.18137/cardiometry.2023.26.342347.

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Heart attack is one of the leading causes of morbidity in the worldwide population. Cardiovascular disease is one of the major diseases involved in clinical data analysis or one of the most important part for forecasting. Early detection of cardiovascular diseases can help to reduce high-risk condition for heart patients to make individual decisions for their lifestyle adjustments, mitigating the challenges. Early detection of heart disease has been explored in this study using a machine-learning approach. Additionally, we used sampling strategies to deal with disparate datasets. The overall r

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34

Almushayqih, Jawaher, Abayomi Samuel Oke, and Belindar Atieno Juma. "Analysis of patient data to explore cardiovascular risk factors." Mathematical Modelling and Numerical Simulation with Applications 4, no. 2 (2024): 133–48. http://dx.doi.org/10.53391/mmnsa.1412304.

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According to the World Health Organisation, cardiovascular diseases claim over 17.9 million lives yearly on a global scale. Hence, cardiovascular diseases are responsible for 32 percent of global deaths yearly. Furthermore, it is estimated that more than 50 percent of heart disease cases are only discovered after they have reached the critical stage of heart failure and stroke. However, early detection of these heart diseases can reduce the mortality rates of cardiovascular diseases. Scientists have suggested using machine learning algorithms to identify the risk factors. However, the unavaila

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35

Stümper, Oliver, John Hess, Michael J. Godman, and George R. Sutherland. "Transesophageal echocardiography in congenital heart disease." Cardiology in the Young 3, no. 1 (1993): 3–12. http://dx.doi.org/10.1017/s1047951100010544.

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Transesophageal echocardiography has gained an established role in the evaluation and management of the adult patient with acquired cardiac disease. Unlike the transthoracic approach, the transesophageal approach provides excellent imaging of posterior cardiac structures in virtually all patients.

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36

Lurz, Philipp, Michele Senni, and Patrice Guérin. "Patient with valvular disease: evolving care patterns." European Heart Journal Supplements 22, Supplement_P (2020): P42—P46. http://dx.doi.org/10.1093/eurheartj/suaa172.

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Abstract COVID-19 has put each and every one at test. Cardiological clinics are facing constrained resources, limiting timely treatment of patients as usual. Patients with valvular heart disease are one of the most time sensitive patient populations, with delayed therapy possible leading to increased morbidity and mortality. Identifying and allocating the available resources to the most vulnerable patients is crucial in providing optimal patient care with prioritization of essential surgical or percutaneous procedures for valvular heart disease. Implementing telemedicine approaches might help

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37

Iannucci, Glen J., Olufolake A. Adisa, Matthew E. Oster, Michael McConnell, and William T. Mahle. "Sickle Cell Disease with Cyanotic Congenital Heart Disease: Long-Term Outcomes in 5 Children." Texas Heart Institute Journal 43, no. 6 (2016): 509–13. http://dx.doi.org/10.14503/thij-15-5610.

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Sickle cell disease is a risk factor for cerebrovascular accidents in the pediatric population. This risk is compounded by hypoxemia. Cyanotic congenital heart disease can expose patients to prolonged hypoxemia. To our knowledge, the long-term outcome of patients who have combined sickle cell and cyanotic congenital heart disease has not been reported. We retrospectively reviewed patient records at our institution and identified 5 patients (3 girls and 2 boys) who had both conditions. Their outcomes were uniformly poor: 4 died (age range, 12 mo–17 yr); 3 had documented cerebrovascular accident

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Sharmin, Shahanaj, Shahanara Chowdhury, Didarul Alam, Mohiuddin Ahmed, Fahamida Rashid, and Tarun Kumar Roy. "Fetomaternal Outcome in Pregnancy With Cardiac Disease." Journal of Chittagong Medical College Teachers' Association 23, no. 1 (2012): 31–35. http://dx.doi.org/10.3329/jcmcta.v23i1.51892.

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Aim of our study was to see the maternal and fetal outcomes in women presenting with heart disease during pregnancy and labout. This cross sectional study was carried out in 48 pregnant women with cardiac disease from July 2005 to Dec 2006, in the department of Gynae and Obst at Chittagong Medical College Hospital Chittagong. The Mewan age was 25.40 ±4.46 years. 31(64.6%) patients were from middle class. 27 (56.3%) patients belonged to mulliparous group. 33(68.8%) patients received regular antenatal care, of the 43 (89.7%) patients had rheumatic heart disease and 5(10.5%) had congenital heart

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39

Pushparajah, Kuberan, Phuoc Duong, Sujeev Mathur, and Sonya V. Babu-Narayan. "EDUCATIONAL SERIES IN CONGENITAL HEART DISEASE: Cardiovascular MRI and CT in congenital heart disease." Echo Research and Practice 6, no. 4 (2019): R121—R138. http://dx.doi.org/10.1530/erp-19-0048.

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Cardiac MRI and CT are increasingly used in the diagnosis and management of patients with congenital heart disease as an imaging adjunct to echocardiography. The benefits and limitations of both modalities are highlighted, with a focus on the anatomical, functional and haemodynamic information that can be gained from the different modalities. Deciding on the imaging modality of choice must also take into account patient factors such as age, compliance, the type of congenital heart disease, and previous procedures. Future developments in CT and MRI are also discussed.

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40

Bagisheva, Natalia V., Anna V. Mordyk, Dmitry I. Trukhan, et al. "Correction of therapy of concerned cardiovascular disease and chronic obstructive pulmonary disease in a patient with pulmonary tuberculo." Clinical review for general practice 2, no. 10 (2021): 6–9. http://dx.doi.org/10.47407/kr2021.2.10.00111.

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Chronic obstructive pulmonary disease and cardiovascular diseases (arterial hypertension, coronary heart disease, chronic heart failure) are among the comorbid conditions that mutually aggravate each other. The addition of tuberculosis in this category of patients requires additional efforts from the doctor to improve treatment outcomes. A clinical example of correction of therapy for arterial hypertension and chronic obstructive pulmonary disease in a patient with pulmonary tuberculosis is presented.

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Nobre, Moacyr Roberto Cuce, and Rachel Zanetta de Lima Domingues. "Patient adherence to ischemic heart disease treatment." Revista da Associação Médica Brasileira 63, no. 3 (2017): 252–60. http://dx.doi.org/10.1590/1806-9282.63.03.252.

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Summary Introduction: The effectiveness of the treatment of chronic diseases depends on the participation of the patient, influenced by different sociocultural factors, which are not fully recognized by the treatment routine. Objective: To search for some of these factors that hinder or facilitate adherence to treatment and use of healthcare resources, approaching patients with ischemic heart disease. Method: A cross-sectional study was conducted using face-to-face interviews. We applied semi-structured questionnaires to 347 individuals and recorded 141 interviews for qualitative analysis. Des

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Kovalev, Dmitriy Sergeevich. "Memo for a patient with ischemic heart disease." Spravočnik vrača obŝej praktiki (Journal of Family Medicine), no. 10 (August 12, 2021): 62–66. http://dx.doi.org/10.33920/med-10-2110-08.

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Angina pectoris is not an independent disease, but a syndrome that is a manifestation of ischemic heart disease (IHD). Ischemic artery disease occurs due to insufficient blood supply to the heart muscle and is an acute or chronic heart dysfunction resulting from a relative or absolute decrease in the supply of the myocardium with arterial blood. In more than 90% of cases, the anatomical basis of ischemic heart disease is the lesion of the coronary arteries of the heart. Angina pectoris is a kind of heart signal about oxygen deficiency. The signal is felt in the form of attacks of short-term su

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Kochetovskaya, E. A., and S. D. Parshina. "Insufficient awareness of the patient decreases his quality of life." Medsestra (Nurse), no. 8 (July 30, 2023): 6–11. http://dx.doi.org/10.33920/med-05-2308-01.

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Cardiovascular diseases pose a great threat to health and life of the population of our planet. Coronary heart disease (CHD) is one of the most common diseases of the cardiovascular system in the Russian Federation and many economically developed countries. According to the Research Center for Preventive Medicine, coronary heart disease affects about 16 % of the population aged 45–65 years. Aim. To study the effect of anxiety on the quality of life of a patient with coronary heart disease. Results. The analysis of the change in the ratio of the levels of awareness and anxiety during testing at

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MANZOOR, IRAM, SEEMA DAUD, and NOREEN RAHAT HASHMI. "CONGENITAL HEART DISEASE." Professional Medical Journal 17, no. 01 (2010): 128–34. http://dx.doi.org/10.29309/tpmj/2010.17.01.2093.

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Objective: To assess the parental knowledge and myths related to etiology of congenital heart disease. Design: A crosssectional descriptive study. Place and Duration of Study: Out patient department, indoor and echocardiography rooms of Children Hospitaland Institute of Child Health (CH & ICH) Lahore, in two weeks of October, 2007. Patients and Methods: Convenient sampling technique wasused to recruit 299 children between 1 month and 14 years of age, suffering from congenital heart disease. Cases of rheumatic fever andassociated congestive cardiac failure were excluded from the study group

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Lynch, Áine, and Aamir Jeewa. "Mechanical Circulatory Support in Congenital Heart Disease." Children 12, no. 3 (2025): 306. https://doi.org/10.3390/children12030306.

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As early survival outcomes have improved, heart failure in children with congenital heart disease (CHD) has become a growing problem. Primary care providers and pediatricians are thus encountering increasing numbers of children with or at-risk for heart failure. Despite medication, many of these children progress to end-stage heart failure and require heart transplant for long-term survival. Mechanical circulatory support (MCS) is increasingly utilized to support this cohort both acutely when recovery is anticipated, and as a bridge to transplant. Early referral to tertiary heart failure and M

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Book, Wendy M. "Heart Failure in the Adult Patient with Congenital Heart Disease." Journal of Cardiac Failure 11, no. 4 (2005): 306–12. http://dx.doi.org/10.1016/j.cardfail.2004.08.162.

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Aresta, Carmen, Gianfranco Butera, Antonietta Tufano, Giorgia Grassi, Livio Luzi, and Stefano Benedini. "Pheochromocytoma in Congenital Cyanotic Heart Disease." Case Reports in Endocrinology 2018 (September 25, 2018): 1–4. http://dx.doi.org/10.1155/2018/2091257.

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Studies on genome-wide transcription patterns have shown that many genetic alterations implicated in pheochromocytoma-paraganglioma (P-PGL) syndromes cluster in a common cellular pathway leading to aberrant activation of molecular response to hypoxia in normoxic conditions (the pseudohypoxia hypothesis). Several cases of P-PGL have been reported in patients with cyanotic congenital heart disease (CCHD). Patients affected with CCHD have an increased likelihood of P-PGL compared to those affected with noncyanotic congenital heart disease. One widely supported hypothesis is that chronic hypoxia r

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Yi-Chun Yang, Yi-Chun Yang, Cheng-Sheng Lin Yi-Chun Yang, Min-Feng Li Cheng-Sheng Lin, and Hsiang-Ping Wang Min-Feng Li. "Content Analysis to Improve Self-management in Case with Heart Failure." 童綜合醫學雜誌 16, S (2022): 041–46. http://dx.doi.org/10.53106/20713592202209160s008.

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<p>Heart failure is the ultimate deterioration of the heart due to disease. It is associated with high rates of hospitalization and mortality. Every hospitalization affects the patient physically and mentally and it also places a heavy burden of medical care on the patient&rsquo;s family and society. Patients often relapse after treatment and are readmitted due to too much water intake and other unhealthy lifestyles at home. Thus, proper posthospitalization care is essential to prevent hospital readmissions. Properly assisting patients with disease self-management at home is a primar

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Shuper, V. O., S. V. Shuper, I. V. Trefanenko, G. I. Shumko, and T. V. Reva. "Investigation of the Adherence to Prescribed Treatment of the Patients with Coronary Heart Disease." Ukraïnsʹkij žurnal medicini, bìologìï ta sportu 6, no. 5 (2021): 263–69. http://dx.doi.org/10.26693/jmbs06.05.263.

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The purpose of the study was to investigate the adherence to secondary prevention medications among patients with coronary heart disease and identify factors associated with it. Materials and methods. We examined 40 patients diagnosed with coronary heart disease of more than 50 years old, who were prescribed with optimal medication for 1 year during hospitalization. Patients` adherence was defined according to MMS-8 Morisky values for secondary prevention medications prescribed by doctors. Also, questionnaires about individual reasons of non-compliance and for individual patient`s opinion abou

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Somantri, Somantri, Ikhsan Fazriawan, Adinda Laila Putri, and Rafika Ariaty Maulani. "Self Services And Monitoring Of Weak Heart Disease Based On The Internet Of Things And Mobile App Using Certainty Factor." JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING 5, no. 2 (2022): 384–94. http://dx.doi.org/10.31289/jite.v5i2.6195.

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Heart disease can be suffered by anyone regardless of age and gender. Heart disease can be caused by many things, such as unhealthy lifestyles (smoking), as well as heredity. Low self-awareness of someone with weak heart disease to monitor their heart health regularly. To diagnose weak heart disease, this system uses the Certainy Factor method. With this method, patients can find out the results of the decision whether the patient is at risk of developing weak heart disease or heart health conditions in normal circumstances. This method can provide comparative results (and decision results) of

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