Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Ron C Li"'
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
Autor:
Laura M Holdsworth, Samantha M R Kling, Margaret Smith, Nadia Safaeinili, Lisa Shieh, Stacie Vilendrer, Donn W Garvert, Marcy Winget, Steven M Asch, Ron C Li
Publikováno v:
JMIR Research Protocols, Vol 10, Iss 7, p e27532 (2021)
BackgroundThe early identification of clinical deterioration in patients in hospital units can decrease mortality rates and improve other patient outcomes; yet, this remains a challenge in busy hospital settings. Artificial intelligence (AI), in the
Externí odkaz:
https://doaj.org/article/27fbae2bbffb43e5ae5cd809a22226ae
Autor:
Mario Funes Hernandez, Meghedi Babakhanian, Tania P. Chen, Ashish Sarraju, Clark Seninger, Vishnu Ravi, Zahra Azizi, James Tooley, Tara I. Chang, Ying Lu, N. Lance Downing, Fatima Rodriguez, Ron C. Li, Alexander T. Sandhu, Mintu Turakhia, Vivek Bhalla, Paul J. Wang
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 13, Iss 2 (2024)
Background High blood pressure affects approximately 116 million adults in the United States. It is the leading risk factor for death and disability across the world. Unfortunately, over the past decade, hypertension control rates have decreased acro
Externí odkaz:
https://doaj.org/article/36e4112308be42eea42c6d787ab0f71d
Considerations in the reliability and fairness audits of predictive models for advance care planning
Autor:
Jonathan Lu, Amelia Sattler, Samantha Wang, Ali Raza Khaki, Alison Callahan, Scott Fleming, Rebecca Fong, Benjamin Ehlert, Ron C. Li, Lisa Shieh, Kavitha Ramchandran, Michael F. Gensheimer, Sarah Chobot, Stephen Pfohl, Siyun Li, Kenny Shum, Nitin Parikh, Priya Desai, Briththa Seevaratnam, Melanie Hanson, Margaret Smith, Yizhe Xu, Arjun Gokhale, Steven Lin, Michael A. Pfeffer, Winifred Teuteberg, Nigam H. Shah
Publikováno v:
Frontiers in Digital Health, Vol 4 (2022)
Multiple reporting guidelines for artificial intelligence (AI) models in healthcare recommend that models be audited for reliability and fairness. However, there is a gap of operational guidance for performing reliability and fairness audits in pract
Externí odkaz:
https://doaj.org/article/415e3b31e32b4bb2a73dd32950a37998
Publikováno v:
npj Digital Medicine, Vol 3, Iss 1, Pp 1-3 (2020)
Artificial Intelligence (AI) has generated a large amount of excitement in healthcare, mostly driven by the emergence of increasingly accurate machine learning models. However, the promise of AI delivering scalable and sustained value for patient car
Externí odkaz:
https://doaj.org/article/523d82af9a9947ef9b61f322e9e2f656
Autor:
Naveed Rabbani, Stephen P. Ma, Ron C. Li, Marcy Winget, Susan Weber, Srinivasan Boosi, Tho D. Pham, David Svec, Lisa Shieh, Jonathan H. Chen
Publikováno v:
Clinical Biochemistry. 113:70-77
Autor:
Christian Rose, Robert Thombley, Morteza Noshad, Yun Lu, Heather A Clancy, David Schlessinger, Ron C Li, Vincent X Liu, Jonathan H Chen, Julia Adler-Milstein
Publikováno v:
Journal of the American Medical Informatics Association. 30:8-15
Objective To determine whether novel measures of contextual factors from multi-site electronic health record (EHR) audit log data can explain variation in clinical process outcomes. Materials and Methods We selected one widely-used process outcome: e
Autor:
Ron C. Li, Margaret Smith, Jonathan Lu, Anand Avati, Samantha Wang, Winifred G. Teuteberg, Kenny Shum, Grace Hong, Briththa Seevaratnam, Jerri Westphal, Margaret Dougherty, Pooja Rao, Steven Asch, Steven Lin, Christopher Sharp, Lisa Shieh, Nigam H. Shah
Publikováno v:
NEJM Catalyst. 3
Publikováno v:
Cognitive Informatics in Biomedicine and Healthcare ISBN: 9783031091070
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::993a45a1bfe49f130e3ace4b8f60804e
https://doi.org/10.1007/978-3-031-09108-7_8
https://doi.org/10.1007/978-3-031-09108-7_8
Autor:
Martin G Seneviratne, Ron C Li, Meredith Schreier, Daniel Lopez-Martinez, Birju S Patel, Alex Yakubovich, Jonas B Kemp, Eric Loreaux, Paul Gamble, Kristel El-Khoury, Laura Vardoulakis, Doris Wong, Janjri Desai, Jonathan H Chen, Keith E Morse, N Lance Downing, Lutz T Finger, Ming-Jun Chen, Nigam Shah
Publikováno v:
BMJ Health & Care Informatics Online. 29:e100656
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