Background: This study examined the impact of clustering of device-related concerns and Type D personality on anxiety and depressive symptoms during a six-month period and the clinical relevance of ...

Everybody is talking about keyword clusters. At the core, it’s pretty simple – group related keywords together. Sounds easy, right? Some free tools walk you through some basic Natural Language ...

A research group found that the human sleep patterns could be classified into 16 types by combining ACCEL, their original machine learning algorithm for sleep-wake classification, the dimension ...

A new study of COVID-19, based on data from a symptom tracker app, determined that there are six distinct "types" of the disease involving different clusters of symptoms. The discovery could ...