This study presents a non-invasive approach to detect anxiety and depression through gait analysis and machine learning, ...

News How a machine learning tool could predict postpartum depression risk sooner Published: Jun. 14, 2025, 5:50 a.m.

Contacts Wenli Zhang, I nformation Systems and Business Analytics, [email protected], 515-294-2469 Lisa Schmitz, News Service, [email protected], 515-294-0704 Read the paper “Depression Detection ...

Study in Npj Digital Medicine evaluates COMPOSER, a deep learning model for early sepsis prediction, showing its effectiveness in improving patient care and reducing in-hospital mortality rates.

The deep learning algorithm worked well in tests. It was able to spot depression in 87% of male patients and in 87.5% of female patients.

For these reasons, we use Chinese voice data recorded using a variety of smartphones and environments, marked by psychiatrists following DSM-5 criteria standards. This paper shows for the first time ...

Mental health is a crucial aspect of human well-being. Social media data like twitter is scrapped and used as the dataset for the depression detection model. This paper proposes to implement a system ...