Log in

Relevant bibliographies by topics / Predicting life expectancy / Journal articles

To see the other types of publications on this topic, follow the link: Predicting life expectancy.

Journal articles on the topic 'Predicting life expectancy'

Author: Grafiati

Published: 4 June 2021

Last updated: 28 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Predicting life expectancy.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Das, Antora, Md Mahfuz Uddin, and Md Rezaul Karim. "Predicting Life Expectancy using Machine Learning Techniques." International Journal of Statistical Sciences 25, no. 1 (2025): 55–70. https://doi.org/10.3329/ijss.v25i1.81045.

Full text

Abstract:

Life expectancy is a key measure of a country's overall health, socioeconomic development, and quality of life. The main objective of the study is to identify key factors influencing life expectancy using ‘Cleaned-Life-Exp’ standardized data from the World Health Organization (WHO) and to compare the performances of life expectancy prediction using various machine learning algorithms. The key influencing features on life expectancy are selected using Boruta and Regularized Random Forest (RRF) algorithms. Eight machine learning models such as Linear Regression (LR), Decision Tree (DT), Random F

APA, Harvard, Vancouver, ISO, and other styles

2

Terret, C., and J. P. Droz. "11 Prostate cancer: predicting life expectancy." Critical Reviews in Oncology/Hematology 78 (May 2011): S8. http://dx.doi.org/10.1016/s1040-8428(11)70030-0.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Yancy, Clyde W. "Predicting Life Expectancy in Heart Failure." JAMA 299, no. 21 (2008): 2566. http://dx.doi.org/10.1001/jama.299.21.2566.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

TEJA, KALLAKURI SAI, and R. BHANU SANKAR. "Predicting Life Expectancy Using Machine Learning Techniques on Who Data." International Scientific Journal of Engineering and Management 04, no. 07 (2025): 1–9. https://doi.org/10.55041/isjem04842.

Full text

Abstract:

This project applies machine learning algorithms to predict life expectancy using WHO datasets. It aims to discover relationships between socio-economic indicators, health expenditure, and life expectancy. Data preprocessing involved handling missing values, encoding categories, and scaling features. Regression models like Linear, Polynomial, Decision Tree, and Random Forest were used for GDP-expenditure analysis. Model performance was evaluated using R² score, RMSE, and visualized through prediction plots. Logistic Regression was applied to classify countries as 'Developed' or 'Developing' ba

APA, Harvard, Vancouver, ISO, and other styles

5

Palmer, Duncan, and Niel Krige. "Real age-adjusted life expectancy." Journal of Economic and Financial Sciences 6, no. 1 (2013): 153–66. http://dx.doi.org/10.4102/jef.v6i1.281.

Full text

Abstract:

This study summarises the development of a model to determine an individual’s adjusted life expectancy based on his Real Age. The model incorporates aspects such as gender, residing province, income, HIV status, ethnic background, weight, exercise, family illness history, stress, substance abuse and diet. Predicting life expectancy is vital in retirement planning for two reasons: 1) given the diverse nature of South Africa, the national average life expectancy cannot be applied to everyone; and 2) retirement duration forms a vital part in the retirement planning process. Retirees can make more

APA, Harvard, Vancouver, ISO, and other styles

6

Clayton, Douglass B., and Donald A. Urban. "Point: TheValue of Predicting Life Expectancy in Men with Clinically Localized Prostate Cancer." Journal of the National Comprehensive Cancer Network 5, no. 7 (2007): 703–8. http://dx.doi.org/10.6004/jnccn.2007.0062.

Full text

Abstract:

The prediction of life expectancy in prostate cancer screening and treatment is a controversial topic that evokes various opinions regarding its validity. The authors believe incorporating life expectancy prediction into the treatment algorithms for prostate cancer is important. Using a combination of clinical judgment and specific predictive tools, physicians can estimate the life expectancy of patients with prostate cancer. These estimates can then be used to help guide treatment discussion. Estimating life expectancy benefits older men in whom decisions regarding the best form of treatment

APA, Harvard, Vancouver, ISO, and other styles

7

Jeldres, Claudio, Jean-Baptiste Latouff, and Fred Saad. "Predicting life expectancy in prostate cancer patients." Current Opinion in Supportive and Palliative Care 3, no. 3 (2009): 166–69. http://dx.doi.org/10.1097/spc.0b013e32832e9c80.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Kouame Amos, B., and I. V. Smirnov. "Determinants in Predicting Life Expectancy Using Machine Learning." Advanced Engineering Research 22, no. 4 (2023): 373–83. http://dx.doi.org/10.23947/2687-1653-2022-22-4-373-383.

Full text

Abstract:

Introduction. Life expectancy is, by definition, the average number of years a person can expect to live from birth to death. It is therefore the best indicator for assessing the health of human beings, but also a comprehensive index for assessing the level of economic development, education and health systems . From our extensive research, we have found that most existing studies contain qualitative analyses of one or a few factors. There is a lack of quantitative analyses of multiple factors, which leads to a situation where the predominant factor influencing life expectancy cannot be identi

APA, Harvard, Vancouver, ISO, and other styles

9

Ravichandran, Akshaya, Krutika Mahulikar, Shreya Agarwal, and Suresh Sankaranarayanan. "Post Thoracic Surgery Life Expectancy Prediction Using Machine Learning." International Journal of Healthcare Information Systems and Informatics 16, no. 4 (2021): 1–20. http://dx.doi.org/10.4018/ijhisi.20211001.oa32.

Full text

Abstract:

Lung cancer survival rate is very limited post-surgery irrespective it is “small cell and non-small cell”. Lot of work have been carried out by employing machine learning in life expectancy prediction post thoracic surgery for patients with lung cancer. Many machine learning models like Multi-layer perceptron (MLP), SVM, Naïve Bayes, Decision Tree, Random forest, Logistic regression been applied for post thoracic surgery life expectancy prediction based on data sets from UCI. Also, work has been carried out towards attribute ranking and selection in performing better in improving prediction ac

APA, Harvard, Vancouver, ISO, and other styles

10

Meagher, Timothy. "Predicting Life Expectancy: Precise Science or Fool's Errand?" Journal of Insurance Medicine 48, no. 1 (2019): 1–4. http://dx.doi.org/10.17849/insm-48-1-1-4.1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Ademoh, Sanni Eneji. "Population Growth and Life Expectancy: Predicting the Relationship." Scientific Modelling and Research 2, no. 1 (2017): 19–36. http://dx.doi.org/10.20448/808.2.1.19.36.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Lee, Alexandra, Bocheng Jing, Sun Young Jeon, John Boscardin, and Sei Lee. "Predicting Life Expectancy Using Veterans Affairs Electronic Health Record Data." Innovation in Aging 4, Supplement_1 (2020): 173–74. http://dx.doi.org/10.1093/geroni/igaa057.561.

Full text

Abstract:

Abstract Electronic health records (EHRs) are a rich source of health data that could be used to create individualized life expectancy predictions to aid in clinical decision-making for long-term preventative treatments, such as cancer screening. Few previous studies have incorporated all possible predictors from the EHR. We aimed to screen and incorporate a large number of possible predictors from EHR data into a life expectancy (LE) prediction equation. Using the national Veteran’s Affairs (VA) EHR databases, we identified all patients aged 50+ with a primary care visit during 2005 and asses

APA, Harvard, Vancouver, ISO, and other styles

13

Fisher, Mark, Steven D. Nathan, Christian Hill, et al. "Predicting Life Expectancy for Pirfenidone in Idiopathic Pulmonary Fibrosis." Journal of Managed Care & Specialty Pharmacy 23, no. 3-b Suppl (2017): S17—S24. http://dx.doi.org/10.18553/jmcp.2017.23.3-b.s17.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Carmody, Chris, and Chris Rea. "Predicting product life expectancy of the LabTecta bearing protector." Sealing Technology 2014, no. 8 (2014): 8–12. http://dx.doi.org/10.1016/s1350-4789(14)70302-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Sammon, Jesse D., Firas Abdollah, Anthony D’Amico, et al. "Predicting Life Expectancy in Men Diagnosed with Prostate Cancer." European Urology 68, no. 5 (2015): 756–65. http://dx.doi.org/10.1016/j.eururo.2015.03.020.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

AYDIN, Ayhan, Ümit ATİLA, and Serpil AYDIN. "Use of ANN in Predicting Life Expectancy: The Case of Turkey." Artificial Intelligence Studies 1, no. 1 (2018): 1–7. http://dx.doi.org/10.30855/ais.2018.01.01.01.

Full text

Abstract:

Life expectancy is a good measure for comparing parameters such as welfare, health level and development of countries. The high value for this indicator can only be achieved by identifying the positive and negative effects of these determinants and by making initiatives in this direction. In our study, we observed life expectancy estimation by using time series models and Artificial Neural Network (ANN) in terms of social, economic and environmental factors, that affect the life expectancy. Comparison of two estimator models performed using data compiled from OECD and WORLDBANK of Turkey betwe

APA, Harvard, Vancouver, ISO, and other styles

17

Al Azies, Harun, and Vivi Mentari Dewi. "Factors Affecting Life Expectancy in East Java: Predictions with A Bayesian Model Averaging Approach." Jurnal Perencanaan Pembangunan: The Indonesian Journal of Development Planning 5, no. 2 (2021): 283–95. http://dx.doi.org/10.36574/jpp.v5i2.214.

Full text

Abstract:

This study predicts the factors that influence life expectancy in East Java, Indonesia. In particular, this study compares the prediction results between the linear regression model and the Bayesian Model Averaging (BMA). The study used a 2015 data set from the Central Bureau of Statistics (BPS) of the province of East Java.The results of data exploration show that the life expectancy in East Java is 70.68 years, the Bondowoso regency is the region with the lowest life expectancy at 65.73 years and the city of Surabaya is the area with the highest life expectancy value in East Java, which is 7

APA, Harvard, Vancouver, ISO, and other styles

18

Uei, Hiroshi, and Yasuaki Tokuhashi. "Prognostic scoring system for metastatic spine tumors derived from hepatocellular carcinoma." Journal of Orthopaedic Surgery 28, no. 1 (2020): 230949901989916. http://dx.doi.org/10.1177/2309499019899167.

Full text

Abstract:

Purpose: The prognosis of hepatocellular carcinoma (HCC) has recently improved, and so clinicians have greater opportunity to treat HCC-derived spinal metastases. Therefore, predicting life expectancy is important for determining the optimal treatment strategy for such tumors. This study aimed to investigate the prognostic factors for HCC-derived metastatic spine tumors and to develop a scoring system for predicting life expectancy in such cases. Methods: The posttreatment survival time and factors that might influence it were investigated in 62 patients with HCC-derived metastatic spine tumor

APA, Harvard, Vancouver, ISO, and other styles

19

Malanin, Vladyslav, and Illya Chaykovsky. "Development of a Mathematical Model for Personalized Estimation of Life Expectancy in Ukraine." Cybernetics and Computer Technologies, no. 2 (June 6, 2025): 47–60. https://doi.org/10.34229/2707-451x.25.2.4.

Full text

Abstract:

Introduction. The issue of personalized life expectancy prediction is a relevant task in contemporary medical cybernetics, significantly impacting public health and social planning. It gains special importance during crisis situations such as war, the COVID-19 pandemic, economic hardships, and demographic changes that have intensified in Ukraine in recent years. Existing models for life expectancy prediction, such as the Mortality Population Risk Tool (MPoRT) and the Lee-Carter model, have significant limitations regarding the inclusion of local characteristics specific to the Ukrainian popula

APA, Harvard, Vancouver, ISO, and other styles

20

Matus, Justin C. "A Comparison of Country’s Cultural Dimensions and Health Outcomes." Healthcare 9, no. 12 (2021): 1654. http://dx.doi.org/10.3390/healthcare9121654.

Full text

Abstract:

Research comparing health care systems of countries, with a particular emphasis on health care spending and health care outcomes, has found unexplained differences which are often attributed to the countries’ cultures, yet these cultural dimensions are never completely identified or measured. This study examines if culture predicts a country’s population health, measured as life expectancy and health care spending. Using the Hofstede country-level measures (six dimensions) of culture as independent variables, two regression models to predict life expectancy and per capita health care using 201

APA, Harvard, Vancouver, ISO, and other styles

21

Lee, Alexander, Sara Weintraub, Ianto Lin Xi, Jaimo Ahn, and Joseph Bernstein. "Predicting life expectancy after geriatric hip fracture: A systematic review." PLOS ONE 16, no. 12 (2021): e0261279. http://dx.doi.org/10.1371/journal.pone.0261279.

Full text

Abstract:

Background Displaced femoral neck fractures in geriatric patients are typically treated with either hemiarthroplasty or total hip arthroplasty. The choice between hemiarthroplasty and total hip arthroplasty requires a good estimate of the patient’s life expectancy, as the recent HEALTH trial suggests that the benefits of the two operations do not diverge, if at all, until the second year post-operatively. A systematic review was this performed to determine if there sufficient information in the medical literature to estimate a patient’s life expectancy beyond two years and to identify those pa

APA, Harvard, Vancouver, ISO, and other styles

22

Cowen, Mark E., Lakshmi K. Halasyamani, and Michael W. Kattan. "Predicting Life Expectancy in Men With Clinically Localized Prostate Cancer." Journal of Urology 175, no. 1 (2006): 99???103. http://dx.doi.org/10.1097/00005392-200601000-00028.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Wallace, J. Brandon, and Suzanne S. Prevost. "Two Methods for Predicting Limited Life Expectancy in Nursing Homes." Journal of Nursing Scholarship 38, no. 2 (2006): 148–53. http://dx.doi.org/10.1111/j.1547-5069.2006.00092.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Cattelino, M., and G. Miram. "Predicting cathode life expectancy and emission quality from PWFD measurements." Applied Surface Science 111 (February 1997): 90–95. http://dx.doi.org/10.1016/s0169-4332(96)00718-0.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Cowen, Mark E., Lakshmi K. Halasyamani, and Michael W. Kattan. "Predicting Life Expectancy in Men With Clinically Localized Prostate Cancer." Journal of Urology 175, no. 1 (2006): 99–103. http://dx.doi.org/10.1016/s0022-5347(05)00018-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Kattan, Michael W. "Re: Predicting Life Expectancy in Men Diagnosed with Prostate Cancer." European Urology 68, no. 6 (2015): 1098. http://dx.doi.org/10.1016/j.eururo.2015.08.046.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

Askari, Zahra, Maryam Rahimian, and Mohammad Hossein Alishahi. "Predicting Life Expectancy Based on Self-Efficacy and Psychological Hardiness in Cancer Patients." International Journal of New Findings in Health and Educational Sciences (IJHES) 2, no. 2 (2024): 132–41. http://dx.doi.org/10.63053/ijhes.80.

Full text

Abstract:

This study investigated the relationship between life expectancy, psychological hardiness, and self-efficacy in cancer patients. The statistical population of this study consisted of all cancer patients residing in Shiraz in 1402 (2023). Using a non-random sampling method, 150 patients were selected and voluntarily responded to the questionnaires. This research is descriptive and correlational. Three scales were used to measure the variables: Snyder's Adult Hope Scale, Kobasa's Psychological Hardiness Questionnaire, and Jerusalem and Schwartz's Self-Efficacy Scale. Data analysis was performed

APA, Harvard, Vancouver, ISO, and other styles

28

Xu, Jiahua, and Adrian Hoesch. "Predicting Longevity: An Analysis of Potential Alternatives to Life Expectancy Reports." Journal of Retirement 5, no. 4 (2018): 9–24. http://dx.doi.org/10.3905/jor.2018.5.4.009.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Aurora, P., A. Wade, P. Whitmore, and B. Whitehead. "A model for predicting life expectancy of children with cystic fibrosis." European Respiratory Journal 16, no. 6 (2000): 1056–60. http://dx.doi.org/10.1034/j.1399-3003.2000.16f06.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Krishnan, Monica, Jennifer Temel, Alexi Wright, Rachelle Bernacki, Kathy Selvaggi, and Tracy Balboni. "Predicting life expectancy in patients with advanced incurable cancer: a review." Journal of Supportive Oncology 11, no. 2 (2013): 68–74. http://dx.doi.org/10.12788/j.suponc.0004.

Full text

APA, Harvard, Vancouver, ISO, and other styles

31

Smith, David D., and Laurence E. McCahill. "Predicting Life Expectancy and Symptom Relief Following Surgery for Advanced Malignancy." Annals of Surgical Oncology 15, no. 12 (2008): 3335–41. http://dx.doi.org/10.1245/s10434-008-0162-1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Mohan, Ravinder. "Family Physicians Could Help in Predicting Life Expectancy Without Prostate Cancer." Journal of Clinical Oncology 26, no. 4 (2008): 690–91. http://dx.doi.org/10.1200/jco.2007.14.7108.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Motomura, Jun. "Social implementation trial of the ALD/NAFLD predictive model to increase health literacy and promote behaviour change." Impact 2023, no. 3 (2023): 18–20. http://dx.doi.org/10.21820/23987073.2023.3.18.

Full text

Abstract:

Alcoholic liver disease (ALD) and non-alcoholic fatty liver disease (NAFLD) are serious health problems across the globe and research has shown that, within Japan, the situation in Okinawa Prefecture is particularly concerning. Researchers from Meio University, Hirosaki University, and Kyoto University in Japan are collaborating on ‘The Yambaru Health Promotion Project’ (YHPP). This epidemiological survey is designed to collect data on the people of Okinawa Prefecture with the goal of extending life expectancy and healthy life expectancy and improving quality of life. The big data collected by

APA, Harvard, Vancouver, ISO, and other styles

34

Asanov, E. O., G. P. Voinarovska, and I. A. Dyba. "Approaches to predicting life expectancy in elderly coronary artery disease patients with comorbid conditions." Zaporozhye Medical Journal 25, no. 5 (2023): 391–94. http://dx.doi.org/10.14739/2310-1210.2023.5.280007.

Full text

Abstract:

The aim of the study was to develop a model for predicting the probability of survival up to 80 years of age for elderly and senile patients with coronary artery disease (CAD) and concomitant conditions. Materials and methods. A retrospective data analysis of elderly and senile CAD patients who were observed in the period 1997–2019 and died from a cardiovascular event. Results. Using binary logistic regression analysis, a model of the survival probability up to 80 years in CAD patients with comorbid conditions has been developed. The overall accuracy of the model was 83.12 % (χ2 = 6.70, p <

APA, Harvard, Vancouver, ISO, and other styles

35

Yorgason, Jeremy B., Thomas W. Draper, Haley Bronson, et al. "Biological, Psychological, and Social Predictors of Longevity Among Utah Centenarians." International Journal of Aging and Human Development 87, no. 3 (2018): 225–43. http://dx.doi.org/10.1177/0091415018757211.

Full text

Abstract:

Studies of longevity among centenarians examine biological, psychological, and social factors, yet few consider these components concurrently. This study explores such factors individually and collectively, as they are related to days lived past the age of 100 years. Data from 268 family members of centenarians identified in the State of Utah between 2008 and 2015 were used in negative binomial models predicting number of days lived among the centenarians. Findings suggested that sleep latency (biological), life satisfaction (psychological), and attachment closeness (social) were predictive fa

APA, Harvard, Vancouver, ISO, and other styles

36

Pourchet, S., V. Montheil, S. Ropert, J. Alexandre, F. Goldwasser, and J. P. Durand. "Validation of a scoring system to improve life expectancy prediction in advanced cancer patients." Journal of Clinical Oncology 27, no. 15_suppl (2009): e20507-e20507. http://dx.doi.org/10.1200/jco.2009.27.15_suppl.e20507.

Full text

Abstract:

e20507 Background: Oncologists accurately estimates survival in 20% of cases for advanced cancer patients (J Clin Oncol 2005 23:6240–48), leading to prescribe chemotherapy until last weeks of life. This study aimed to develop a validated scoring system to prevent futility. Methods: Between January 2004 and November 2008, 500 evaluable out of 546 consecutive pts with uncurable metastatic solid tumors were entered in a prospective study. On a randomly selected derivation set, independent factors assessable at inclusion predicting 2-weeks survival by a multiple logistic regression, were assigned

APA, Harvard, Vancouver, ISO, and other styles

37

Hasan, Md Saeed, Sujeeva Setunge, David W. Law, and Tom C. K. Molyneaux. "Predicting life expectancy of concrete septic tanks exposed to sulfuric acid attack." Magazine of Concrete Research 65, no. 13 (2013): 793–801. http://dx.doi.org/10.1680/macr.12.00231.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Tan, Alai, Yong-Fang Kuo, and James S. Goodwin. "Predicting Life Expectancy for Community-dwelling Older Adults From Medicare Claims Data." American Journal of Epidemiology 178, no. 6 (2013): 974–83. http://dx.doi.org/10.1093/aje/kwt054.

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

Clarke, Michael G., P. Ewings, T. Hanna, L. Dunn, T. Girling, and A. L. Widdison. "How accurate are doctors, nurses and medical students at predicting life expectancy?" European Journal of Internal Medicine 20, no. 6 (2009): 640–44. http://dx.doi.org/10.1016/j.ejim.2009.06.009.

Full text

APA, Harvard, Vancouver, ISO, and other styles

40

Su, I. H., R. Tylock, J. Cacciatore, et al. "Predicting life expectancy in older adults with advanced cancer using geriatric assessment." Journal of Geriatric Oncology 14, no. 8 (2023): S16—S17. http://dx.doi.org/10.1016/s1879-4068(23)00290-4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

Veiberg, Vebjørn, Atle Mysterud, Jean-Michel Gaillard, Daniel Delorme, Guy Van Laere, and François Klein. "Bigger teeth for longer life? Longevity and molar height in two roe deer populations." Biology Letters 3, no. 3 (2007): 268–70. http://dx.doi.org/10.1098/rsbl.2006.0610.

Full text

Abstract:

The role of tooth wear as a proximate cause of senescence in ruminants has recently been highlighted. There are two competing hypotheses to explain variation in tooth height and wear; the diet-quality hypothesis predicting increased wear in low-quality habitats, and the life-history hypothesis predicting molar height to be related to expected longevity. We compared tooth height and wear from roe deer of known age from two contrasting populations of roe deer ( Capreolus capreolus ) in France: Trois Fontaines (TF) with good habitat and shorter animal life expectancy and Chizé (CH) with poor habi

APA, Harvard, Vancouver, ISO, and other styles

42

Borges, Viviane Santos, Mirela Castro Santos Camargos, and Fabíola Bof de Andrade. "Gender and education inequalities in dynapenia-free life expectancy: ELSI-Brazil." Revista de Saúde Pública 56 (April 28, 2022): 36. http://dx.doi.org/10.11606/s1518-8787.2022056004025.

Full text

Abstract:

OBJECTIVE: To estimate the dynapenia-free life expectancy among community-dwelling older Brazilian adults and evaluate gender-related and educational differences. METHODS: This is a cross-sectional study. The data were obtained from the Estudo Longitudinal da Saúde dos Idosos Brasileiros (ELSI-Brazil – Brazilian Longitudinal Study of Aging), conducted from 2015 to 2016 in Brazil. Dynapenia is defined as low muscle strength (< 27kg for men and < 16kg for women), measured with a handgrip dynamometer. The dynapenia-free life expectancy was estimated using the Sullivan method based on the st

APA, Harvard, Vancouver, ISO, and other styles

43

Ohr, Phyllis S., Jon Feingold, and Jeffrey W. Fagen. "Predicting Adolescent Anxiety Ratings From Infant Behavioral Style in Response to Expectancy Violation." Applied Developmental Science 10, no. 3 (2006): 147–56. http://dx.doi.org/10.1207/s1532480xads1003_4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Chernov, Alexander N., Sofia S. Skliar, Mikalai N. Yatskou, et al. "Glioblastoma and Blood Microenvironment Predictive Model for Life Expectancy of Patients." Biomedicines 13, no. 5 (2025): 1040. https://doi.org/10.3390/biomedicines13051040.

Full text

Abstract:

Background: Glioblastoma multiforme (GBM) is a very malignant brain tumor. GBM exhibits cellular and molecular heterogeneity that can be exploited to improve patient outcomes by individually tailoring chemotherapy regimens. Objective: Our objective was to develop a predictive model of the life expectancy of GBM patients using data on tumor cells’ sensitivity to chemotherapy drugs, as well as the levels of blood cells and proteins forming the tumor microenvironment. Methods: The investigation included 31 GBM patients from the Almazov Medical Research Centre (Saint Petersburg, Russia). The cytot

APA, Harvard, Vancouver, ISO, and other styles

45

Krishnan, M. S., Z. Epstein-Peterson, Y. H. Chen, P. J. Catalano, J. Chen, and T. Balboni. "Factors Predicting Life Expectancy in Patients With Metastatic Cancer Receiving Palliative Radiation Therapy." International Journal of Radiation Oncology*Biology*Physics 84, no. 3 (2012): S52. http://dx.doi.org/10.1016/j.ijrobp.2012.07.344.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Jonah Mudogo Masai and Wafula Isaac. "Predicting Mortality Rates and Longevity Using Cains -Blake-Dowd Model." International Journal of Latest Technology in Engineering Management & Applied Science 13, no. 10 (2024): 193–201. http://dx.doi.org/10.51583/ijltemas.2024.131023.

Full text

Abstract:

Pension schemes and annuity providers frequently guarantee their retirement payouts until the retirees' deaths. As a result of longer life expectancies and declining rates of death in old age, trends in mortality and longevity have become evident. Academicians and actuaries have been forced to concentrate their research on mortality and longevity concerns in particular as a result of this. Instead of a provident fund, the new National Social Security Fund Act Number 45 of 2013 established a pension fund that is a requirement for every employee. Annuity service providers are exposed to the long

APA, Harvard, Vancouver, ISO, and other styles

47

Perutsky, D. N., A. G. Obrezan, O. A. Osipova, and A. A. Zarudsky. "Left atrial function in patients with heart failure." Cardiovascular Therapy and Prevention 21, no. 6 (2022): 3265. http://dx.doi.org/10.15829/1728-8800-2022-3265.

Full text

Abstract:

Improvement of the treatment and diagnosis of hypertension and heart failure (HF) contributes to an increase in life expectancy of the population and, accordingly, its aging. The problem of diagnosing and predicting HF with preserved ejection fraction (HFpEF) is currently one of the urgent problems. The role of left atrial function in the development and course prediction of HF are the subject of scientific study. This review provides an analysis of recent studies on left atrial function in HF patients.

APA, Harvard, Vancouver, ISO, and other styles

48

Liu, Yongming, Junyu Song, Zhuanzhe Zhao, Guowen Ye, Zhibo Liu, and Yang Zhou. "Adaptive Residual Life Prediction for Small Samples of Mechanical Products Based on Feature Matching Preprocessor-LSTM." Applied Sciences 12, no. 16 (2022): 8236. http://dx.doi.org/10.3390/app12168236.

Full text

Abstract:

In order to solve the problem of predicting the residual life of mechanical products accurately based on small-sample data, this paper proposes a small-sample adaptive residual life prediction model of mechanical products based on feature matching preprocessor-LSTM. First, aiming at the problem of low accuracy of remaining life prediction for small samples of mechanical products caused by multiple time scales and multiple fault states, the failure time data and performance degradation data are fused, and the failure rate and standard deviation are used as the remaining life prediction criteria

APA, Harvard, Vancouver, ISO, and other styles

49

Annamalai, K., S. Sathyanarayanan, C. D. Naiju, and Mohammed Shejeer. "Fatigue Life Prediction of Girth Gear-Pinion Assembly Used in Kilns by Finite Element Analysis." Applied Mechanics and Materials 372 (August 2013): 292–96. http://dx.doi.org/10.4028/www.scientific.net/amm.372.292.

Full text

Abstract:

This study is focused on predicting the fatigue life expectancy of Girth gear-pinion assembly used in cement industries. Gear design and modeling was carried out using a CAD package and analysis was done using finite element analysis software, ANSYS. AISI 4135-low alloy steel material properties are considered and linear elastic finite element analysis and fatigue life analysis were carried out. The variable amplitude load is applied to simulate the real time loading of the gear-pinion assembly. Rainflow cycle counting algorithm and Minars linear damage rule is employed to predict the fatigue

APA, Harvard, Vancouver, ISO, and other styles

50

Vu, Long, David Warner, Nicholas Schiltz, et al. "UTILITY OF SIX-MONTH PROGNOSIS TO PREDICT SURVIVAL AMONG NEWLY ADMITTED NURSING HOME RESIDENTS WITH CANCER." Innovation in Aging 6, Supplement_1 (2022): 624. http://dx.doi.org/10.1093/geroni/igac059.2318.

Full text

Abstract:

Abstract A prognosis of less than 6 months life expectancy has potential to be useful in planning and evaluating end-of-life care; however, its agreement with actual survival data has not been assessed. Here, we measured the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the nursing home (NH) Minimum Data Set (MDS) 6-month prognosis indicator among individuals diagnosed with incident breast (female), colorectal, lung, pancreatic, or prostate cancer during the years 2004-2017 and admitted to a NH between 2012-2017 (n=254,183). Cancer patients w

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!