How accurately can supervised machine learning model predict a targeted psychiatric disorder?

How accurately can supervised machine learning model predict a targeted psychiatric disorder?

Abstract Background Hoarding disorder (HD) is characterized by a compulsion to collect belongings, and to experience significant distress when parting from them. HD is often misdiagnosed for several reasons. These include patient and family lack of recognition that it is a psychiatric disorder and p...

Full description

Saved in:
Bibliographic Details
Main Authors: Haitham Jahrami, Amir H. Pakpour, Waqar Husain, Achraf Ammar, Zahra Saif, Ali Husain Alsalman, Adel Aloffi, Khaled Trabelsi, Seithikurippu R. Pandi-Perumal, Michael V. Vitiello
Format: Article
Language:English
Published: BMC 2024-10-01
Series:BMC Psychiatry
Subjects:
Artificial Intelligence
Disease Assessment
Healthcare Analytics
Hoarding disorders
Machine learning
Online Access:https://doi.org/10.1186/s12888-024-06152-w
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s12888-024-06152-w

Similar Items