Вход на сайт

Просмотр новости

Найдите то, что Вас интересует

Development and temporal validation of an interpretable machine learning model with a prototype web-enabled decision-support framework for early identification of depression risk in middle-aged and older adults using the CHARLS cohort

Дата публикации: 16-07-2026 12:47:25

An article created on 2026-07-16 12:47:25

Схожие новости

#Наименование новостиТональностьИнформативностьДата публикации
1Dynamic Patterns of Estimated Cardiorespiratory Fitness and Risk of Depressive Symptoms in Older Adults: A Longitudinal Analysis Using LTMLE0514-07-2026
2Joint Effect of Rapid Kidney Function Decline and Depressive Symptom Trajectories on New-onset Stroke: A Prospective Study Based on the CHARLS Cohort0515-07-2026
3Community-Based Ageing Support, Social Participation Transitions and Depressive-Symptom Outcomes during COVID-19: Evidence from CHARLS 2018–2020 and Policy Document Analysis020.7410-08-2026
4Dyslipidemia and risk of incident stroke: the mediating role of insulin resistance assessed by the triglyceride–glucose index in the CHARLS cohort0514-07-2026
5Hidden Functional Decline: How Conversational Voice AI Detects Early Mobility and ADL Impairment in Older Adults with High Self- Rated Health0517-07-2026
6Epidemiologic Burden of Depressive Episode and Suicidal Ideation Among Older Lesbian, Gay, and Bisexual Adults: A Five-Year National Survey Study0516-07-2026
7A Randomised Feasibility Study of a Transdiagnostic Intervention Targeting Alcohol Misuse and Psychological Distress Among Men Affected by War in Ukraine0516-07-2026
8Risk Governance for Generative AI Mental Health Support: A Multi-Turn Safety Architecture0517-07-2026
9A Workflow for Grant Discovery and Proposal Development Using Large Language Models: Development and Formative Evaluation0516-07-2026
10A Novel AJAD-BoostNet Framework for Histopathological Lung and Cervical Cancer Classification Using Deep Feature Learning, K-Means Clustering, and XGBoost0516-07-2026

Классификация: Наука. Схожих патентов: 0. Схожих новостей: 10. Тональность: 0. Информативность: 5. Источник: www.researchsquare.com.