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Diagnostic accuracy of deep learning using speech samples in depression: a systematic review and meta-analysis
Objective This study aims to conduct a systematic review and meta-analysis of the
diagnostic accuracy of deep learning (DL) using speech samples in depression. Materials …
diagnostic accuracy of deep learning (DL) using speech samples in depression. Materials …
Faces of the Mind: Unveiling Mental Health States Through Facial Expressions in 11,427 Adolescents
X Xu, K Zhou, Y Zhang, Y Wang, F Wang… - arxiv preprint arxiv …, 2024 - arxiv.org
Mood disorders, including depression and anxiety, often manifest through facial
expressions. While previous research has explored the connection between facial features …
expressions. While previous research has explored the connection between facial features …
Multiclass Classification of Mental Health Disorders Using XGBoost-HOA Algorithm
The combination of extreme gradient boosting (XGBoost) and hippopotamus optimization
algorithm (HOA)(XGBoost-HOA) was proposed for the multiclass classification of mental …
algorithm (HOA)(XGBoost-HOA) was proposed for the multiclass classification of mental …
Enhanced Diagnosis of Gestational Diabetes through Machine Learning and Logistic Regression
A persistent illness Diabetes might become an international health emergency. Diabetes
mellitus, also known as diabetes, is typified by high blood sugar levels. Being among the …
mellitus, also known as diabetes, is typified by high blood sugar levels. Being among the …