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Mark Sendak
Mark Sendak
Population Health & Data Science Lead, Duke Institute for Health Innovation
在 duke.edu 的电子邮件经过验证 - 首页
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引用次数
引用次数
年份
Do no harm: a roadmap for responsible machine learning for health care
J Wiens, S Saria, M Sendak, M Ghassemi, VX Liu, F Doshi-Velez, K Jung, ...
Nature medicine 25 (9), 1337-1340, 2019
7352019
Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): a …
KM Corey, S Kashyap, E Lorenzi, SA Lagoo-Deenadayalan, K Heller, ...
PLoS medicine 15 (11), e1002701, 2018
1782018
" The human body is a black box" supporting clinical decision-making with deep learning
M Sendak, MC Elish, M Gao, J Futoma, W Ratliff, M Nichols, A Bedoya, ...
Proceedings of the 2020 conference on fairness, accountability, and …, 2020
1762020
An improved multi-output gaussian process rnn with real-time validation for early sepsis detection
J Futoma, S Hariharan, K Heller, M Sendak, N Brajer, M Clement, ...
Machine Learning for Healthcare Conference, 243-254, 2017
1662017
Real-world integration of a sepsis deep learning technology into routine clinical care: implementation study
MP Sendak, W Ratliff, D Sarro, E Alderton, J Futoma, M Gao, M Nichols, ...
JMIR medical informatics 8 (7), e15182, 2020
1242020
Presenting machine learning model information to clinical end users with model facts labels
MP Sendak, M Gao, N Brajer, S Balu
NPJ digital medicine 3 (1), 41, 2020
1162020
A Path for Translation of Machine Learning Products into Healthcare Delivery
MP Sendak, J D’Arcy, S Kashyap, M Gao, M Nichols, K Corey, W Ratliff, ...
EMJ Innovations, 2020
1132020
Prospective and external evaluation of a machine learning model to predict in-hospital mortality of adults at time of admission
N Brajer, B Cozzi, M Gao, M Nichols, M Revoir, S Balu, J Futoma, J Bae, ...
JAMA network open 3 (2), e1920733-e1920733, 2020
1112020
Integrating a machine learning system into clinical workflows: qualitative study
S Sandhu, AL Lin, N Brajer, J Sperling, W Ratliff, AD Bedoya, S Balu, ...
Journal of Medical Internet Research 22 (11), e22421, 2020
872020
Machine learning for early detection of sepsis: an internal and temporal validation study
AD Bedoya, J Futoma, ME Clement, K Corey, N Brajer, A Lin, MG Simons, ...
JAMIA open 3 (2), 252-260, 2020
732020
Machine learning in health care: a critical appraisal of challenges and opportunities
M Sendak, M Gao, M Nichols, A Lin, S Balu
EGEMs 7 (1), 2019
572019
Barriers to achieving economies of scale in analysis of EHR data
MP Sendak, S Balu, KA Schulman
Applied clinical informatics 8 (03), 826-831, 2017
472017
Predicting disease progression with a model for multivariate longitudinal clinical data
J Futoma, M Sendak, B Cameron, K Heller
Machine Learning for Healthcare Conference, 42-54, 2016
462016
Advancing artificial intelligence in health settings outside the hospital and clinic
N Aggarwal, M Ahmed, S Basu, JJ Curtin, BJ Evans, ME Matheny, ...
NAM perspectives 2020, 2020
412020
Advancing primary care with artificial intelligence and machine learning
Z Yang, C Silcox, M Sendak, S Rose, D Rehkopf, R Phillips, L Peterson, ...
Healthcare 10 (1), 100594, 2022
242022
Respiratory syncytial virus during the COVID-19 pandemic compared to historic levels: a retrospective cohort study of a health system
N Movva, M Suh, H Reichert, B Hintze, MP Sendak, Z Wolf, S Carr, ...
The Journal of infectious diseases 226 (Supplement_2), S175-S183, 2022
212022
AI on the Front Lines
KC Kellogg, M Sendak, S Balu
MIT Sloan Management Review 63 (4), 2022
212022
Meeting the moment: addressing barriers and facilitating clinical adoption of artificial intelligence in medical diagnosis
J Adler-Milstein, N Aggarwal, M Ahmed, J Castner, BJ Evans, ...
NAM perspectives 2022, 2022
212022
Organizational governance of emerging technologies: AI adoption in healthcare
JY Kim, W Boag, F Gulamali, A Hasan, HDJ Hogg, M Lifson, D Mulligan, ...
proceedings of the 2023 ACM conference on fairness, accountability, and …, 2023
192023
Development and validation of machine learning models to predict admission from emergency department to inpatient and intensive care units
A Fenn, C Davis, DM Buckland, N Kapadia, M Nichols, M Gao, ...
Annals of emergency medicine 78 (2), 290-302, 2021
172021
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