AIMC Topic: Self Report

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A web-based tool for cancer risk prediction for middle-aged and elderly adults using machine learning algorithms and self-reported questions.

Annals of epidemiology Dec 13, 2024
BACKGROUND: From a global perspective, China is one of the countries with higher incidence and mortality rates for cancer.
Algorithms Female Aged Male Humans Machine Learning Longitudinal Studies Internet Self Report Middle Aged Risk Assessment Neoplasms China
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Transformer-based transfer learning on self-reported voice recordings for Parkinson's disease diagnosis.

Scientific reports Dec 3, 2024
Deep learning (DL) techniques are becoming more popular for diagnosing Parkinson's disease (PD) because they offer non-invasive and easily accessible tools. By using advanced data analysis, these methods improve early detection and diagnosis, which i...
Self Report Voice Neural Networks, Computer Female Aged Middle Aged Humans Male Deep Learning Smartphone Parkinson Disease
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Development and validation of electronic health record-based, machine learning algorithms to predict quality of life among family practice patients.

Scientific reports Dec 3, 2024
Health-related quality of life (HRQol) is a crucial dimension of care outcomes. Many HRQoL measures exist, but methodological and implementation challenges impede primary care (PC) use. We aim to develop and evaluate a novel machine learning (ML) alg...
Algorithms Surveys and Questionnaires Electronic Health Records Primary Health Care Female Self Report Aged Family Practice Humans Adult Machine Learning Male Middle Aged Quality of Life
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Enhancing pharmacist intervention targeting based on patient clustering with unsupervised machine learning.

Expert review of pharmacoeconomics & outcomes research Sep 23, 2024
OBJECTIVES: Adherence to the American Diabetes Association (ADA) Standards of Medical Care is low. This study aimed to assist pharmacists in identifying patients for diabetes control interventions using unsupervised machine learning.
Insurance, Health Self Report Sex Factors Diabetes Complications Pharmacists Professional Role Pharmaceutical Services Diabetes Mellitus Age Factors Cluster Analysis Unsupervised Machine Learning Middle Aged Surveys and Questionnaires United States Hypoglycemic Agents Humans Female Machine Learning Aged Adult Male
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Identifying Psychosocial and Ecological Determinants of Enthusiasm In Youth: Integrative Cross-Sectional Analysis Using Machine Learning.

JMIR public health and surveillance Sep 12, 2024
BACKGROUND: Understanding the factors contributing to mental well-being in youth is a public health priority. Self-reported enthusiasm for the future may be a useful indicator of well-being and has been shown to forecast social and educational succes...
Students Adolescent Child Ontario Machine Learning Female Cross-Sectional Studies Male Schools Self Report Humans
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Leveraging artificial intelligence to identify the psychological factors associated with conspiracy theory beliefs online.

Nature communications Aug 29, 2024
Given the profound societal impact of conspiracy theories, probing the psychological factors associated with their spread is paramount. Most research lacks large-scale behavioral outcomes, leaving factors related to actual online support for conspira...
Humans Artificial Intelligence Machine Learning Pandemics Adult Self Report Male COVID-19 Politics Middle Aged Female Social Media SARS-CoV-2 Young Adult
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Predicting first time depression onset in pregnancy: applying machine learning methods to patient-reported data.

Archives of women's mental health May 22, 2024
PURPOSE: To develop a machine learning algorithm, using patient-reported data from early pregnancy, to predict later onset of first time moderate-to-severe depression.
Self Report Mobile Applications Humans Pregnancy Complications United States Machine Learning Female Longitudinal Studies Pregnancy Risk Factors Pregnancy Trimester, First Adult Depression
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A novel machine learning-based prediction method for patients at risk of developing depressive symptoms using a small data.

PloS one May 22, 2024
The prediction of depression is a crucial area of research which makes it one of the top priorities in mental health research as it enables early intervention and can lead to higher success rates in treatment. Self-reported feelings by patients repre...
Female Self Report Humans Adult Neural Networks, Computer Male Machine Learning Depression Algorithms
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Digital data and personality: A systematic review and meta-analysis of human perception and computer prediction.

Psychological bulletin May 16, 2024
In recent years, our increasing use of technology has resulted in the production of vast amounts of data. Consequently, many researchers have analyzed digital data in attempt to understand its relationship with individuals' personalities. Such endeav...
Humans Machine Learning Personality Self Report Perception
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Prediction of 24-Hour Urinary Sodium Excretion Using Machine-Learning Algorithms.

Journal of the American Heart Association May 10, 2024
BACKGROUND: Accurate quantification of sodium intake based on self-reported dietary assessments has been a persistent challenge. We aimed to apply machine-learning (ML) algorithms to predict 24-hour urinary sodium excretion from self-reported questio...
Self Report Sodium Urinalysis Sodium, Dietary Time Factors United States Hypertension Predictive Value of Tests Aged Adult Male Middle Aged Machine Learning Algorithms Humans Female Reproducibility of Results
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