AIMC Topic: Health Surveys
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Importance of medical data preprocessing in predictive modeling and risk factor discovery for the frailty syndrome.
BMC medical informatics and decision making
Feb 18, 2019
BACKGROUND: Increasing life expectancy results in more elderly people struggling with age related diseases and functional conditions. This poses huge challenges towards establishing new approaches for maintaining health at a higher age. An important ...
Significant shared heritability underlies suicide attempt and clinically predicted probability of attempting suicide.
Molecular psychiatry
Jan 4, 2019
Suicide accounts for nearly 800,000 deaths per year worldwide with rates of both deaths and attempts rising. Family studies have estimated substantial heritability of suicidal behavior; however, collecting the sample sizes necessary for successful ge...
Prevalence and Disparities in Tobacco Product Use Among American Indians/Alaska Natives - United States, 2010-2015.
MMWR. Morbidity and mortality weekly report
Dec 22, 2017
An overarching goal of Healthy People 2020 is to achieve health equity, eliminate disparities, and improve health among all groups.* Although significant progress has been made in reducing overall commercial tobacco product use, disparities persist, ...
Dietary antioxidants and 10-year lung function decline in adults from the ECRHS survey.
The European respiratory journal
Dec 21, 2017
The relationship between lung function decline and dietary antioxidants over 10 years in adults from three European countries was investigated.In 2002, adults from three participating countries of the European Community Respiratory Health Survey (ECR...
Validating estimates of prevalence of non-communicable diseases based on household surveys: the symptomatic diagnosis study.
BMC medicine
Jan 26, 2015
BACKGROUND: Easy-to-collect epidemiological information is critical for the more accurate estimation of the prevalence and burden of different non-communicable diseases around the world. Current measurement is restricted by limitations in existing me...
Urban-rural disparities in fall risk among older Chinese adults: insights from machine learning-based predictive models.
Frontiers in public health
Jan 1, 2025
BACKGROUND: Falls among older adults are a significant challenge to global healthy aging. Identifying key factors and differences in fall risks, along with developing predictive models, is essential for differentiated and precise interventions in Chi...
Multidimensional correlates of psychological stress: Insights from traditional statistical approaches and machine learning using a nationally representative Canadian sample.
PloS one
Jan 1, 2025
Approximately one-fifth of Canadians report high levels of psychological stress. This is alarming, as chronic stress is associated with non-communicable diseases and premature mortality. In order to create effective interventions and public policy fo...
Comparative analysis of machine learning algorithms for predicting diarrhea among under-five children in Ethiopia: Evidence from 2016 EDHS.
Health informatics journal
Jan 1, 2024
: Diarrhea is a major cause of mortality and morbidity in under-5 children globally, especially in developing countries like Ethiopia. Limited research has used machine learning to predict childhood diarrhea. This study aimed to compare the predictiv...
Identification of Suicide Attempt Risk Factors in a National US Survey Using Machine Learning.
JAMA psychiatry
Apr 1, 2021
IMPORTANCE: Because more than one-third of people making nonfatal suicide attempts do not receive mental health treatment, it is essential to extend suicide attempt risk factors beyond high-risk clinical populations to the general adult population.
Predicting the Assisted Living Care Needs Using Machine Learning and Health State Survey Data.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2020
Effective pain management can significantly improve quality of life and outcomes for various types of patients (e.g. elderly, adult, young) and often requires assisted living for a significant number of people worldwide. In order to improve our under...
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