AIMC Topic: Health Surveys

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Help seeking behavior by women experiencing intimate partner violence in india: A machine learning approach to identifying risk factors.

PloS one Feb 3, 2022
BACKGROUND: Despite the low prevalence of help-seeking behavior among victims of intimate partner violence (IPV) in India, quantitative evidence on risk factors, is limited. We use a previously validated exploratory approach, to examine correlates of...
Humans Machine Learning Female Adolescent Health Surveys India Intimate Partner Violence Help-Seeking Behavior Risk Factors Young Adult Adult Middle Aged
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Perceptions of the use of artificial intelligence in the diagnosis of skin cancer: an outpatient survey.

Clinical and experimental dermatology Dec 23, 2021
BACKGROUND: Convolutional neural networks (artificial intelligence, AI) are rapidly appearing within the field of dermatology, with diagnostic accuracy matching that of dermatologists. As technologies become available for use by both the health profe...
Patient Acceptance of Health Care Attitude to Health Diagnosis, Computer-Assisted Adolescent Health Surveys Age Factors Young Adult Female Humans Adult Skin Neoplasms Cross-Sectional Studies Artificial Intelligence Aged Male Aged, 80 and over Middle Aged
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Data-level Linkage of Multiple Surveys for Improved Understanding of Global Health Challenges.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science May 17, 2021
Data-driven approaches can provide more enhanced insights for domain experts in addressing critical global health challenges, such as newborn and child health, using surveys (e.g., Demographic Health Survey). Though there are multiple surveys on the ...
Humans Health Surveys Child Information Storage and Retrieval Machine Learning Infant, Newborn Global Health Surveys and Questionnaires
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Machine learning-based analysis of adolescent gambling factors.

Journal of behavioral addictions Oct 3, 2020
BACKGROUND AND AIMS: Problem gambling among adolescents has recently attracted attention because of easy access to gambling in online environments and its serious effects on adolescent lives. We proposed a machine learning-based analysis method for p...
Humans Machine Learning Health Surveys Support Vector Machine Adolescent Behavior Gambling Female Male Severity of Illness Index Adolescent
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Automated detection and classification of diabetes disease based on Bangladesh demographic and health survey data, 2011 using machine learning approach.

Diabetes & metabolic syndrome Mar 10, 2020
BACKGROUND AND AIMS: Diabetes has been recognized as a continuing health challenge for the twenty-first century, both in developed and developing countries including Bangladesh. The main objective of this study is to use machine learning (ML) based c...
Discriminant Analysis Automation Diabetes Mellitus Bangladesh Female Support Vector Machine Demography Reproducibility of Results Factor Analysis, Statistical Humans Adult Area Under Curve Middle Aged Machine Learning Male Health Surveys Diabetes Mellitus, Type 2 Logistic Models Treatment Outcome
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Identification of COVID-19 can be quicker through artificial intelligence framework using a mobile phone-based survey when cities and towns are under quarantine.

Infection control and hospital epidemiology Mar 3, 2020
We propose the use of a machine learning algorithm to improve possible COVID-19 case identification more quickly using a mobile phone-based web survey. This method could reduce the spread of the virus in susceptible populations under quarantine.
Cell Phone Betacoronavirus Pneumonia, Viral Coronavirus Infections Early Diagnosis Symptom Assessment Travel Machine Learning Pandemics COVID-19 SARS-CoV-2 Risk Assessment China Health Surveys Cities Quarantine Humans
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Developing algorithms to predict adult onset internalizing disorders: An ensemble learning approach.

Journal of psychiatric research Dec 6, 2019
A growing literature is utilizing machine learning methods to develop psychopathology risk algorithms that can be used to inform preventive intervention. However, efforts to develop algorithms for internalizing disorder onset have been limited. The g...
Humans Machine Learning Adult Risk Assessment Phobia, Social Anxiety Disorders Depressive Disorder Bipolar Disorder Panic Disorder Health Surveys Longitudinal Studies
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Unsupervised neural network for evaluating the ability of the SF-36 instrument to differentiate individuals.

Eastern Mediterranean health journal = La revue de sante de la Mediterranee orientale = al-Majallah al-sihhiyah li-sharq al-mutawassit Nov 25, 2019
BACKGROUND: Health-related quality of life (HRQoL) and well-being refer to the positive, subjective state that is contrary to illness. HRQoL instruments include some common questionnaires, which may often be understood differently depending on the le...
Algorithms Female Aged Adult Male Humans Neural Networks, Computer Machine Learning Age Factors Middle Aged Iran Quality of Life Sex Factors Health Surveys Health Status
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Predicting skilled delivery service use in Ethiopia: dual application of logistic regression and machine learning algorithms.

BMC medical informatics and decision making Nov 5, 2019
BACKGROUND: Skilled assistance during childbirth is essential to reduce maternal deaths. However, in Ethiopia, which is among the six countries contributing to more than half of the global maternal deaths, the coverage of births attended by skilled h...
Health Surveys Humans Logistic Models Machine Learning Ethiopia Bayes Theorem Adult Delivery, Obstetric Cross-Sectional Studies Middle Aged Maternal Health Services Adolescent Clinical Decision-Making Pregnancy Female Young Adult
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Scoring colorectal cancer risk with an artificial neural network based on self-reportable personal health data.

PloS one Aug 22, 2019
Colorectal cancer (CRC) is third in prevalence and mortality among all cancers in the US. Currently, the United States Preventative Services Task Force (USPSTF) recommends anyone ages 50-75 and/or with a family history to be screened for CRC. To impr...
Middle Aged Medical History Taking Health Surveys United States Humans Risk Factors Health Status Neural Networks, Computer Diabetes Mellitus Aged Prognosis Early Detection of Cancer Colorectal Neoplasms Models, Statistical Female Male Self Report Cardiovascular Diseases Practice Guidelines as Topic
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