activity
20182023
most citedApplications of Blockchain in Healthcare: Current Landscape & Challenges

63 citations · 165 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2023★ 58 cited

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…

cs.SD2022

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-…

cs.LG2022★ 2 cited

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…

cs.CY2022★ 8 cited

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-…

eess.SP2021

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…

cs.LG2021★ 34 cited

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…

cs.CY2018★ 63 cited

Applications of Blockchain in Healthcare: Current Landscape & Challenges

Gajendra J. Katuwal, Sandip Pandey, Mark Hennessey +1

Several problems in healthcare stem from the complex network of intermediaries and the lack of traceability of transactions. To mention a few: healthcare data is fragmented across…