Следене
Mark Sendak
Mark Sendak
Population Health & Data Science Lead, Duke Institute for Health Innovation
Потвърден имейл адрес: duke.edu - Начална страница
Заглавие
Позовавания
Позовавания
Година
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
7232019
" 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
1752020
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
1732018
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
1652017
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
1232020
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
1122020
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
1112020
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
1102020
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
822020
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
722020
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
452016
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
392020
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
232022
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
202023
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
182022
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
Системата не може да изпълни операцията сега. Опитайте отново по-късно.
Статии 1–20