Predicting Depression Trajectories: A Novel AI Approach for Personalized Mental Health Treatment

Published: Jan. 21, 2025

Depression is a widespread mental illness that affects millions of people worldwide and problem for health care. In contrast with modern approaches, traditional treatment strategies do not rely on individuality, specifically about the course disease. this paper, new AI-based method to identify individual-specific depression trajectories improving outcomes treatments proposed. This, we believe, makes our strategy more effective predicting specific techniques each patient since it employs up-to-date machine learning integrates vast volume information into modeling response. The paper shows how using customized estimations can increase effectiveness plan as opposed relying trial error today. AI in care only has potential quality treated condition, also ability provide efficient solution demand depressants all over world. This supports view revolutionize targeted, time oriented.

Language: Английский

A Spatio-Temporal Fusion-Based Approach for Multi-Dimensional Classification of Parkinson’s Disease Progression Using Multi-Modal Dataset

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 105317 - 105317

Published: May 1, 2025

Language: Английский