Post-acute college student satisfaction with telepsychiatry during the COVID-19 pandemic

Autor: Timothy I. Michaels, Sonali Singal, Patricia Marcy, Marta Hauser, Laura Braider, Daniel Guinart, John M. Kane

Publikováno v: Journal of Psychiatric Research. 151:1-7

Patient satisfaction with telepsychiatry during the COVID-19 pandemic has generally been positive, but few studies have compared patient experiences across settings, and no study to date has investigated the experience of college students receiving p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8f072dc043c6b1d227060ddcdc454bd
https://doi.org/10.1016/j.jpsychires.2022.03.035

Using behavioral rhythms and multi-task learning to predict fine-grained symptoms of schizophrenia

Autor: Andrew T. Campbell, Akane Sano, Weichen Wang, Hongyi Wen, Emily A. Scherer, Rui Wang, Marta Hauser, John M. Kane, Rachel Brian, Dror Ben-Zeev, Tanzeem Choudhury, Vincent W.-S. Tseng

Publikováno v: Scientific Reports, Vol 10, Iss 1, Pp 1-17 (2020)
Scientific Reports

Schizophrenia is a severe and complex psychiatric disorder with heterogeneous and dynamic multi-dimensional symptoms. Behavioral rhythms, such as sleep rhythm, are usually disrupted in people with schizophrenia. As such, behavioral rhythm sensing wit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a40608aa3f59e95f107cec2f44e284e
http://link.springer.com/article/10.1038/s41598-020-71689-1

Patient-Independent Schizophrenia Relapse Prediction Using Mobile Sensor Based Daily Behavioral Rhythm Changes

Autor: John M. Kane, Emily A. Scherer, Bishal Lamichhane, Andrew T. Campbell, Mikio Obuchi, Megan Walsh, Tanzeem Choudhury, Dror Ben-Zeev, Rui Wang, Akane Sano, Weichen Wang, Marta Hauser

Publikováno v: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030705688
MobiHealth

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 detecting early behavioral changes in patients, then interventions could b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1a7af9500a421367b857c7fc805bb579
https://doi.org/10.1007/978-3-030-70569-5_2

Predicting Early Warning Signs of Psychotic Relapse From Passive Sensing Data: An Approach Using Encoder-Decoder Neural Networks

Autor: Tanzeem Choudhury, Rachel Brian, Emily A. Scherer, Vincent W-S Tseng, Andrew T. Campbell, John M. Kane, Dror Ben-Zeev, Daniel A. Adler, Marta Hauser

Publikováno v: JMIR mHealth and uHealth

Background Schizophrenia spectrum disorders (SSDs) are chronic conditions, but the severity of symptomatic experiences and functional impairments vacillate over the course of illness. Developing unobtrusive remote monitoring systems to detect early w

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::992c0bac414c798cdbe1d40e8108971a
https://pubmed.ncbi.nlm.nih.gov/32865506

Predicting Symptom Trajectories of Schizophrenia using Mobile Sensing

Autor: John M. Kane, Tanzeem Choudhury, Rui Wang, Andrew T. Campbell, Dror Ben-Zeev, Rachel Brian, Marta Hauser, Emily A. Scherer, Weichen Wang, Megan Walsh, M.S.H. Aung

Publikováno v: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 1:1-24

Continuously monitoring schizophrenia patients’ psychiatric symptoms is crucial for in-time intervention and treatment adjustment. The Brief Psychiatric Rating Scale (BPRS) is a survey administered by clinicians to evaluate symptom severity in schi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::efc5c47651facb8c2efc440ad5abf129
https://doi.org/10.1145/3130976