Zobrazeno 1 - 10
of 193
pro vyhledávání: '"Jonathan H, Chen"'
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-7 (2024)
Abstract One of the major barriers to using large language models (LLMs) in medicine is the perception they use uninterpretable methods to make clinical decisions that are inherently different from the cognitive processes of clinicians. In this manus
Externí odkaz:
https://doaj.org/article/949bf0bf6eff4ff1851bbf287b8ad038
Autor:
Akshay Swaminathan, Iván López, Rafael Antonio Garcia Mar, Tyler Heist, Tom McClintock, Kaitlin Caoili, Madeline Grace, Matthew Rubashkin, Michael N. Boggs, Jonathan H. Chen, Olivier Gevaert, David Mou, Matthew K. Nock
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-9 (2023)
Abstract Patients experiencing mental health crises often seek help through messaging-based platforms, but may face long wait times due to limited message triage capacity. Here we build and deploy a machine-learning-enabled system to improve response
Externí odkaz:
https://doaj.org/article/5183d274f50d4c218f6598b4aaaee6cf
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract We propose an interpretable and scalable model to predict likely diagnoses at an encounter based on past diagnoses and lab results. This model is intended to aid physicians in their interaction with the electronic health records (EHR). To ac
Externí odkaz:
https://doaj.org/article/a789732b1e5b44ad850861d64283428d
Autor:
Eli N. Rice, Roy H. Lan, Julio C. Nunes, Rushil Shah, Kira Clark, Vyjeyanthi S. Periyakoil, Jonathan H. Chen, Bryant Lin, Melvin Echols, Christopher Awad, Muhammed Y. Idris, Erin Rose Cruz, Peter D. Poullos, Eldrin F. Lewis, Cati Brown‐Johnson, Joseph Igwe, Sa Shen, Latha Palaniappan, Marcia L. Stefanick, Victor Ritter, Priscilla Pemu, Fatima Rodriguez, Brototo Deb, Krishna Pundi, Paul J. Wang
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 12, Iss 22 (2023)
Externí odkaz:
https://doaj.org/article/8788dd22f94f4499b5716e2b6ab02b6c
Autor:
Roy H. Lan, Eli N. Rice, Julio C. Nunes, Rushil Shah, Joseph‐Kevin Igwe, Kira Clark, Vyjeyanthi S. Periyakoil, Jonathan H. Chen, Bryant Lin, Christopher Awad, Muhammed Idris, Erin Rose Cruz, Eldrin F. Lewis, Cati Brown Johnson, Paul J. Wang
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 12, Iss 22 (2023)
Externí odkaz:
https://doaj.org/article/8dc34fee282f4363b7cb7237909afaeb
Publikováno v:
Health Science Reports, Vol 6, Iss 10, Pp n/a-n/a (2023)
Externí odkaz:
https://doaj.org/article/a46019e9e55c4b018ce2d0d0f3768b76
Autor:
Conor K. Corbin, Lillian Sung, Arhana Chattopadhyay, Morteza Noshad, Amy Chang, Stanley Deresinksi, Michael Baiocchi, Jonathan H. Chen
Publikováno v:
Communications Medicine, Vol 2, Iss 1, Pp 1-14 (2022)
Corbin et al. train machine learning models on electronic health record data to predict susceptibility of infections to particular antibiotics (personalized antibiograms). Antibiotic selection driven by personalized antibiograms achieves similar cove
Externí odkaz:
https://doaj.org/article/0307f34a9101444aa796c834acd91a66
Autor:
Behzad Naderalvojoud, Nilpa D. Shah, Jane N. Mutanga, Artur Belov, Rebecca Staiger, Jonathan H. Chen, Barbee Whitaker, Tina Hernandez-Boussard
Publikováno v:
Vaccines, Vol 11, Iss 11, p 1712 (2023)
Seasonal influenza is a leading cause of death in the U.S., causing significant morbidity, mortality, and economic burden. Despite the proven efficacy of vaccinations, rates remain notably low, especially among Medicaid enrollees. Leveraging Medicaid
Externí odkaz:
https://doaj.org/article/f3fd681c0a7b47099a3af985271685c7
Autor:
Bryan J. Bunning, Haley Hedlin, Jonathan H. Chen, Jody D. Ciolino, Johannes Opsahl Ferstad, Emily Fox, Ariadna Garcia, Alan Go, Ramesh Johari, Justin Lee, David M. Maahs, Kenneth W. Mahaffey, Krista Opsahl-Ong, Marco Perez, Kaylin Rochford, David Scheinker, Heidi Spratt, Mintu P. Turakhia, Manisha Desai
Publikováno v:
Journal of Clinical and Translational Science, Vol 7 (2023)
Abstract Introduction: Clinical trials provide the “gold standard” evidence for advancing the practice of medicine, even as they evolve to integrate real-world data sources. Modern clinical trials are increasingly incorporating real-world data s
Externí odkaz:
https://doaj.org/article/cb1f2d8d07514786bb466e2494aabc6b
Autor:
Ron C Li, Jonathan H Chen, Martin G Seneviratne, Paul Gamble, Nigam Shah, Meredith Schreier, Daniel Lopez-Martinez, Birju S Patel, Alex Yakubovich, Jonas B Kemp, Eric Loreaux, Kristel El-Khoury, Laura Vardoulakis, Doris Wong, Janjri Desai, Keith E Morse, N Lance Downing, Lutz T Finger, Ming-Jun Chen
Publikováno v:
BMJ Health & Care Informatics, Vol 29, Iss 1 (2022)
Objectives Few machine learning (ML) models are successfully deployed in clinical practice. One of the common pitfalls across the field is inappropriate problem formulation: designing ML to fit the data rather than to address a real-world clinical pa
Externí odkaz:
https://doaj.org/article/04d4f20bb60c489494e70f6806539a48