Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Chloe Pou-Prom"'
Autor:
Amol A. Verma, MD, Chloe Pou-Prom, MSc, Liam G. McCoy, MD, Joshua Murray, MSc, Bret Nestor, MEng, Shirley Bell, RN, Ophyr Mourad, MD, Michael Fralick, MD, Jan Friedrich, MD, Marzyeh Ghassemi, PhD, Muhammad Mamdani, PharmD
Publikováno v:
Critical Care Explorations, Vol 5, Iss 5, p e0897 (2023)
OBJECTIVES:. Hospital early warning systems that use machine learning (ML) to predict clinical deterioration are increasingly being used to aid clinical decision-making. However, it is not known how ML predictions complement physician and nurse judgm
Externí odkaz:
https://doaj.org/article/5a8049e87e9e40dd9f8282dd3a27b9d8
Autor:
David Landsman, Ahmed Abdelbasit, Christine Wang, Michael Guerzhoy, Ujash Joshi, Shaun Mathew, Chloe Pou-Prom, David Dai, Victoria Pequegnat, Joshua Murray, Kamalprit Chokar, Michaelia Banning, Muhammad Mamdani, Sharmistha Mishra, Jane Batt
Publikováno v:
PLoS ONE, Vol 16, Iss 3, p e0247872 (2021)
BackgroundTuberculosis (TB) is a major cause of death worldwide. TB research draws heavily on clinical cohorts which can be generated using electronic health records (EHR), but granular information extracted from unstructured EHR data is limited. The
Externí odkaz:
https://doaj.org/article/87153f6088b946ef99eb4e7260255090
Autor:
Michael, Fralick, Meggie, Debnath, Chloe, Pou-Prom, Patrick, O'Brien, Bruce A, Perkins, Esmeralda, Carson, Fatima, Khemani, Muhammad, Mamdani
Publikováno v:
Internal and Emergency Medicine. 18:325-328
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::051cda0c89978186906d6293210dcaa2
https://doi.org/10.1007/s11739-022-03148-w
https://doi.org/10.1007/s11739-022-03148-w
Autor:
Joshua Murray, Amol A. Verma, Muhammad Mamdani, Kaveh G. Shojania, Joseph Paul Cohen, Marzyeh Ghassemi, Chloe Pou-Prom, Russell Greiner, Sharon E. Straus
Publikováno v:
CMAJ : Canadian Medical Association Journal
[See related articles at [www.cmaj.ca/lookup/doi/10.1503/cmaj.202066][2]][2] and [[www.cmaj.ca/lookup/doi/10.1503/cmaj.210036][3]][3] KEY POINTS Machine learning — the process of developing systems that learn from data to recognize patterns and mak
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62f653b8c1690f458424ecc8a661966a
https://doi.org/10.1503/cmaj.202434
https://doi.org/10.1503/cmaj.202434
Publikováno v:
Diabetes, Obesity and Metabolism. 23:2311-2319
Background Machine learning carries considerable promise to improve healthcare delivery. Clinical outcomes that are objectively measured and have serious but preventable consequences are ideal targets for prediction and intervention. Hypoglycemia, de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e58ab74f4b58cc6ac2dafdd7c8b1648
https://doi.org/10.1111/dom.14472
https://doi.org/10.1111/dom.14472
Autor:
Michael Fralick, Meggie Debnath, Chloe Pou-Prom, Patrick O’Brien, Bruce A. Perkins, Esmerelda Carson, Fatima Khemani, Muhammad Mamdani
ObjectiveThere are many examples of machine learning based algorithms with impressive diagnostic characteristics. However, a few published studies have evaluated how well they perform when deployed into clinical care. The objective of this study was
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc05277a20feac20df07f9fe37b802c4
https://doi.org/10.1101/2022.07.21.22277774
https://doi.org/10.1101/2022.07.21.22277774
Autor:
Dane, Gunter, Paulo, Puac-Polanco, Olivier, Miguel, Rebecca E, Thornhill, Amy Y X, Yu, Zhongyu A, Liu, Muhammad, Mamdani, Chloe, Pou-Prom, Richard I, Aviv
Publikováno v:
NeuroradiologyReferences. 64(12)
Data extraction from radiology free-text reports is time consuming when performed manually. Recently, more automated extraction methods using natural language processing (NLP) are proposed. A previously developed rule-based NLP algorithm showed promi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::8f7fac6fc58d6e33e95b437fd630f13b
https://pubmed.ncbi.nlm.nih.gov/35913525
https://pubmed.ncbi.nlm.nih.gov/35913525
Publikováno v:
ACM Transactions on Human-Robot Interaction. 9:1-25
Amid the rising cost of Alzheimer’s disease (AD), assistive health technologies can reduce care-giving burden by aiding in assessment, monitoring, and therapy. This article presents a pilot study testing the feasibility and effect of a conversation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39efefe3dbe81135d6ad428d63873d97
https://doi.org/10.1145/3380785
https://doi.org/10.1145/3380785
Autor:
Dane Gunter, Paulo Puac-Polanco, Olivier Miguel, Rebecca E. Thornhill, Amy Y. X. Yu, Zhongyu A. Liu, Muhammad Mamdani, Chloe Pou-Prom, Richard I. Aviv
BACKGROUND Data extraction from radiology free-text reports is time-consuming when performed manually. Recently, more automated extraction methods using natural language processing (NLP) are proposed. A previously developed rule-based NLP algorithm s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e08a5f35c080ca0b283c44e6b806954
https://doi.org/10.2196/preprints.35621
https://doi.org/10.2196/preprints.35621
Autor:
Saeha Shin, Hassan Masoom, Chloe Pou-Prom, Michael Fralick, Amol A. Verma, Muhammad Mamdani, Fahad Razak, Michael Guerzhoy
Publikováno v:
Thrombosis research. 209
Background Identifying venous thromboembolism (VTE) from large clinical and administrative databases is important for research and quality improvement. Objective To develop and validate natural language processing (NLP) algorithms to identify VTE fro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10749c981a06b94d0fd1eb028b196765
https://pubmed.ncbi.nlm.nih.gov/34871982
https://pubmed.ncbi.nlm.nih.gov/34871982