58 citations · 68 across the 4 of their papers we have counts for
7 papers
Evaluation of ChatGPT for NLP-based Mental Health Applications
Bishal Lamichhane
Large language models (LLM) have been successful in several natural language understanding tasks and could be relevant for natural language processing (NLP)-based mental health app…
Dyadic Interaction Assessment from Free-living Audio for Depression Severity Assessment
Bishal Lamichhane, Nidal Moukaddam, Ankit B. Patel +1
Psychomotor retardation in depression has been associated with speech timing changes from dyadic clinical interviews. In this work, we investigate speech timing features from free-…
Psychotic Relapse Prediction in Schizophrenia Patients using A Mobile Sensing-based Supervised Deep Learning Model
Bishal Lamichhane, Joanne Zhou, Akane Sano
Mobile sensing-based modeling of behavioral changes could predict an oncoming psychotic relapse in schizophrenia patients for timely interventions. Deep learning models could compl…
Improved Healthcare Access in Low-resource Regions: A Review of Technological Solutions
Bishal Lamichhane, Navaraj Neupane
Technological advancements have led to significant improvements in healthcare for prevention, diagnosis, treatments, and care. While resourceful regions can capitalize on state-of-…
Patient-independent Schizophrenia Relapse Prediction Using Mobile Sensor based Daily Behavioral Rhythm Changes
Bishal Lamichhane, Dror Ben-Zeev, Andrew Campbell +9
A schizophrenia relapse has severe consequences for a patient's health, work, and sometimes even life safety. If an oncoming relapse can be predicted on time, for example by detect…
Routine Clustering of Mobile Sensor Data Facilitates Psychotic Relapse Prediction in Schizophrenia Patients
Joanne Zhou, Bishal Lamichhane, Dror Ben-Zeev +2
We aim to develop clustering models to obtain behavioral representations from continuous multimodal mobile sensing data towards relapse prediction tasks. The identified clusters co…