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Relevant bibliographies by topics / Personalized Diet Chart

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Journal articles

Academic literature on the topic 'Personalized Diet Chart'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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Journal articles on the topic "Personalized Diet Chart"

1

Nathwani, Nitya, Supriya G. Mohile, Sandra Kurtin, et al. "Integrating Touchscreen-Based Geriatric Assessment and Frailty Screening for Adults with Multiple Myeloma to Drive Personalized Treatment Decisions." Blood 134, Supplement_1 (2019): 3443. http://dx.doi.org/10.1182/blood-2019-130245.

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Background: Older adults with multiple myeloma (MM) may be at increased risk for toxicity of therapy. The International Myeloma Working Group (IMWG) frailty model, which includes age, functional status, and comorbidities, accounts for the presence of toxicity. The Cancer and Aging Research Group (CARG) Toxicity Tool (Hurria et al, JCO, 2011) includes more aging-associated domains and has been well validated in older adults with solid tumors, though not in hematologic malignancies. The association between the CARG toxicity tool and toxicity of therapy in older adults with MM is unknown. The par

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2

Asaria, I., J. Blom, J. Morgan, M. Khaouli, D. Armstrong, and M. Pinto-Sanchez. "A69 EXPANDED ROLE OF THE DIETITIAN IN THE CLINICAL MANAGEMENT OF PATIENTS WITH CELIAC DISEASE." Journal of the Canadian Association of Gastroenterology 7, Supplement_1 (2024): 46–47. http://dx.doi.org/10.1093/jcag/gwad061.069.

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Abstract Background The only available treatment for Celiac Disease (CeD) is adhering to a strict gluten-free diet (GFD). However, a GFD has been associated with multiple nutrient imbalance and deficiencies, which are often under-recognized and remain untreated. Aims To identify the reasons for referral to a registered dietitian (RD) and RD-recommended dietary interventions for patients with CeD attending a specialised Adult Celiac Disease Clinic. Methods We conducted a retrospective chart review using nutrition assessment forms completed by the RD between November 2021 and May 2022. CeD diagn

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Gajalakshmi N, Andalpriya C, Raja Lakshmi K, and Nuttrenai V. "Fit AI-Personalized Diet and Fitness Planner." International Research Journal on Advanced Engineering and Management (IRJAEM) 3, no. 03 (2025): 508–13. https://doi.org/10.47392/irjaem.2025.0080.

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Maintaining a healthy lifestyle is becoming increasingly challenging due to hectic schedules, unhealthy eating habits, and the lack of personalized diet and fitness guidance. Generic health plans often fail to address individual requirements, leading to ineffective results and poor adherence. To overcome these challenges, FitAI: Personalized Diet and Fitness Planner is developed as an AI-powered web application that provides customized diet and fitness recommendations based on user-specific data. The system collects key user inputs, including age, height, weight, gender, exercise frequency, di

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Singh, Garima. "Swasthya Aahar App." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (2022): 4013–19. http://dx.doi.org/10.22214/ijraset.2022.44843.

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Abstract: In contemporaryry world, People are very busy because of their hectic plan and lifestyle so they are not able to concentrate on their diet, health and fitness - So we came up with a solution of Swasthya Aahar app - the absolute diet app that provides you to generate bmi according to the user's input details provided by them, With the help of ai we will be going to generate diet chart plan for each user. It gives you a platform to show your diet plan according to the inputs provided, set reminders and notify what to eat in breakfast lunch and dinner and Snacks,we can give the feedback

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Bilibou, Iustin-Nicolae. "Emotionally unstable personality disorder and anorexia nervosa – a dietetic approach and therapeutic progress." Dietetician.ro 4, no. 1 (2023): 10–17. http://dx.doi.org/10.26416/diet.4.4.2023.9093.

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Objectives. This study aimed to comprehensively evaluate the impact of a multifaceted treatment approach, combining nutritional intervention, antipsychotic medication and psychotherapy, to the recovery of a female patient diagnosed with an eating disorder. The objective was to delineate how these integrated modalities contribute to improvements in both physical health and psychological well-being. Materials and method. A mixed-methods research design was employed. Quantitative data were gathered through weekly monitoring the patient’s body weight and weekly assessments of vital blood parameter

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Stone, Katie, Francisco Socola, Amy Greenway, et al. "Personalized Therapy in Multicentric Castleman Disease Produces Excellent Outcomes in a Tertiary Referral Center." Blood 132, Supplement 1 (2018): 3701. http://dx.doi.org/10.1182/blood-2018-99-119510.

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Abstract Introduction. Multicentric Castleman Disease (MCD) is an inflammatory disorder characterized by lymphadenopathy. The clinical course of MCD is variable; some patients have mild symptoms while others develop hypercytokinemia progressing to organ failure. Severely ill patients often have the TAFRO-variety of MCD characterized by Thrombocytopenia, Anasarca, Fever, Reticulin marrow fibrosis, and Organomegaly. We report on 76 MCD patients: the largest series from a single institution. Methods. Data was collected from our institution and outside records via systematic chart review and stand

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7

Da Silva, S., K. Bortolin, N. Afzal, P. Marcon, and J. Hulst. "A128 PATIENT CHARACTERIZATION AND ASSESSMENT OF REMISSION RATES IN CHILDREN WITH EOSINOPHILIC ESOPHAGITIS AFTER INITIAL TREATMENT AND 1-YEAR POST-DIAGNOSIS." Journal of the Canadian Association of Gastroenterology 5, Supplement_1 (2022): 150–52. http://dx.doi.org/10.1093/jcag/gwab049.127.

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Abstract Background Eosinophilic esophagitis (EoE) is a chronic immune- or antigen-mediated esophageal disorder characterized by symptoms of esophageal dysfunction and eosinophil-predominant inflammation. With incidence rates rapidly increasing, EoE is the leading cause of food bolus impaction and the second leading cause of chronic esophagitis. The treatment of EoE includes both induction and maintenance therapy to prevent complications including esophageal fibrosis and strictures. Despite significant advances in the diagnosis and treatment of EoE, the natural history and long-term management

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8

Kithulegoda, Natasha, Camille Williams, Aranee Senthilmurugan, et al. "Assessing the effectiveness of “BETTER Women”, a community-based, primary care-linked peer health coaching programme for chronic disease prevention: protocol for a pragmatic, wait-list controlled, type 1 hybrid effectiveness-implementation trial." BMJ Open 14, no. 7 (2024): e085933. http://dx.doi.org/10.1136/bmjopen-2024-085933.

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IntroductionThe Building on Existing Tools to Improve Cancer and Chronic Disease Prevention and Screening in Primary Care (BETTER) programme trains allied health professionals working in primary care settings to develop personalised chronic disease ‘prevention prescriptions’ with patients. However, maintenance of health behaviour changes is difficult without ongoing support. Sustainable options to enhance the BETTER programme and ensure accessibility to underserved populations are needed. We designed the BETTER Women programme, which uses a digital app to match patients with a trained peer hea

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Mahmoud, Viviane, Georges Hatem, Amani Al-Saleh, Diana Ghanem, Ahmad Yassine, and Sanaa Awada. "Predictors of all-cause mortality in hospitalized COVID-19 patients taking corticosteroids: a multicenter retrospective cross-sectional study." Annals of Medicine & Surgery 85, no. 7 (2023): 3386–95. http://dx.doi.org/10.1097/ms9.0000000000000946.

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Introduction: Despite the recommendations to avoid using corticosteroids systematically for hospitalized coronavirus disease of 2019 (COVID-19) patients, healthcare professionals used personalized treatments, including corticosteroids, as adjuncts to treat their patients due to their limited access to treatment options. This study aims to evaluate the use of corticosteroids among hospitalized COVID-19 patients with all-cause mortality as the primary outcome and to assess the predictors of all-cause mortality associated with the characteristics of the patients and the corticosteroid regimens ad

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10

Meherab, Riyan Chowdhury Riyan. "NutrifyXpert: A Personalized health and meal Recomendation system using Machine learning." Journal of Machine Learning and Health Applications 1, no. 1 (2025). https://doi.org/10.5281/zenodo.14958314.

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This research introduces an <strong>automated diet chart generator</strong> that provides <strong>personalized dietary recommendations</strong> for diabetic individuals. The system uses <strong>Large Language Models (LLM)</strong> and <strong>Natural Language Processing (NLP)</strong> to analyze user inputs like <strong>health conditions, dietary preferences, and restrictions</strong>. By integrating <strong>machine learning models</strong>, it delivers adaptive, real-time nutritional advice to support healthier lifestyles and improve dietary management with greater <strong>accuracy and person

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