Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Keith E. Morse"'
Autor:
Lin Lawrence Guo, Keith E. Morse, Catherine Aftandilian, Ethan Steinberg, Jason Fries, Jose Posada, Scott Lanyon Fleming, Joshua Lemmon, Karim Jessa, Nigam Shah, Lillian Sung
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background Diagnostic codes are commonly used as inputs for clinical prediction models, to create labels for prediction tasks, and to identify cohorts for multicenter network studies. However, the coverage rates of diagnostic codes and their
Externí odkaz:
https://doaj.org/article/947161b3afdd48b8b6bd5931600923ac
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:
Naveed Rabbani, Michael Bedgood, Conner Brown, Ethan Steinberg, Rachel L. Goldstein, Jennifer L. Carlson, Natalie Pageler, Keith E. Morse
Publikováno v:
Applied Clinical Informatics. 14:400-407
Background The 21st Century Cures Act mandates the immediate, electronic release of health information to patients. However, in the case of adolescents, special consideration is required to ensure that confidentiality is maintained. The detection of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da4b02961c79d462228827bc9c0054c2
https://doi.org/10.1055/a-2051-9764
https://doi.org/10.1055/a-2051-9764
Autor:
Lin Lawrence Guo, Keith E. Morse, Catherine Aftandilian, Ethan Steinberg, Jason Fries, Jose Posada, Scott Lanyon Fleming, Joshua Lemmon, Karim Jessa, Nigam Shah, Lillian Sung
ImportanceDiagnostic codes are commonly used as inputs for clinical prediction models, to create labels for prediction tasks, and to identify cohorts for multicenter network studies. However, the coverage rates of diagnostic codes and their variabili
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14c901731a963d8314a18f6f59f1e7b2
https://doi.org/10.1101/2023.03.14.23287202
https://doi.org/10.1101/2023.03.14.23287202
Autor:
Keith E, Morse, Conner, Brown, Scott, Fleming, Irene, Todd, Austin, Powell, Alton, Russell, David, Scheinker, Scott M, Sutherland, Jonathan, Lu, Brendan, Watkins, Nigam H, Shah, Natalie M, Pageler, Jonathan P, Palma
Publikováno v:
Appl Clin Inform
Objective The purpose of this study is to evaluate the ability of three metrics to monitor for a reduction in performance of a chronic kidney disease (CKD) model deployed at a pediatric hospital. Methods The CKD risk model estimates a patient's risk
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1af6098e8771c3516a111f17e4f4eed
https://doi.org/10.1055/s-0042-1746168
https://doi.org/10.1055/s-0042-1746168
Publikováno v:
Journal of the American Medical Informatics Association : JAMIA
Objective Artificial intelligence (AI) and machine learning (ML) enabled healthcare is now feasible for many health systems, yet little is known about effective strategies of system architecture and governance mechanisms for implementation. Our objec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95461d0c6ed850f0d83d269f9a9d0ba0
https://doi.org/10.1093/jamia/ocab154
https://doi.org/10.1093/jamia/ocab154
Autor:
Jonathan H. Chen, Austin Powell, Cynthia L. Kuelbs, Rachael C. Aikens, Samuel Yang, Jeannie S. Huang, Jennifer K. Lee, James Xie, Keith E. Morse, Manjot Gill, Jeffrey Hoffman, Shravani Vundavalli, Natalie M. Pageler, Wui Ip, Yungui Huang, Jacob Parker
Publikováno v:
JAMA Network Open
Key Points Question How frequently are adolescent patient portal accounts accessed by guardians? Findings In this cross-sectional study including 3429 adolescent accounts across 3 academic institutions, analysis of portal messages found that more tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c1c357fb0ee18db3702feb2a979643b
http://europepmc.org/articles/PMC8446820
http://europepmc.org/articles/PMC8446820
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6a788191a357a23ec31be83e6997c05
https://doi.org/10.1136/bmjhci-2022-100656
https://doi.org/10.1136/bmjhci-2022-100656
ObjectiveTo assess whether the documentation available for commonly used machine learning models developed by an electronic health record (EHR) vendor provides information requested by model reporting guidelines.Materials and MethodsWe identified ite
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5eed692290cad947d837d27538e80ce8
https://doi.org/10.1101/2021.07.21.21260282
https://doi.org/10.1101/2021.07.21.21260282
Publikováno v:
Pediatric Quality & Safety
Introduction: Medication reconciliation errors (MREs) are common and can lead to significant patient harm. Quality improvement efforts to identify and reduce these errors typically rely on resource-intensive chart reviews or adverse event reporting.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ca548d95c5be1a986a1f53aa258381b
http://europepmc.org/articles/PMC8322521
http://europepmc.org/articles/PMC8322521