Mark Sendak

Получаване на мой собствен потребителски профил

Позовавания

	Всички	От 2019
Позовавания	2377	2330
h-индекс	19	19
i10-индекс	25	24

680

340

170

510

2017201820192020202120222023202410 26 61 223 428 526 662 413

Публичен достъп

Преглед на всички

15 статии

0 статии

налични

неналични

Въз основа на изисквания при финансирането

Съавтори

Michael GaoDuke UniversityПотвърден имейл адрес: duke.edu
Katherine HellerGoogle ResearchПотвърден имейл адрес: gatsby.ucl.ac.uk
Joseph FutomaAppleПотвърден имейл адрес: apple.com
Armando BedoyaDuke UniversityПотвърден имейл адрес: duke.edu
Jenna WiensUniversity of MichiganПотвърден имейл адрес: umich.edu
Finale Doshi-VelezProfessor, HarvardПотвърден имейл адрес: seas.harvard.edu
Dave KaleData Science Manager, LiteratiПотвърден имейл адрес: literati.com
Anna GoldenbergScientist, SickKids Research Institute; Assistant Professor Department of Computer Science, University of TorontoПотвърден имейл адрес: utoronto.ca
Sehj KashyapMD Candidate, Duke University | MS Bioinformatics, Stanford UniversityПотвърден имейл адрес: stanford.edu
Dr. Marzyeh GhassemiAssociate Professor, EECS/IMES, MITПотвърден имейл адрес: mit.edu
Dr. Suchi SariaJohn C. Malone Endowed Chair; Computer Science, Statistics, Medicine, Health Policy, Johns HopkinsПотвърден имейл адрес: cs.jhu.edu
manesh patelDuke UniversityПотвърден имейл адрес: duke.edu
William KnechtleDuke Institute for Health InnovationПотвърден имейл адрес: duke.edu
Adrian F. HernandezDuke Clinical Research InstituteПотвърден имейл адрес: mc.duke.edu
Sahil SandhuMedical Student, Harvard Medical SchoolПотвърден имейл адрес: hms.harvard.edu
shelley mcdonaldGeriatrics, Duke University Medical CenterПотвърден имейл адрес: duke.edu
Elizabeth LorenziBerry ConsultantsПотвърден имейл адрес: berryconsultants.net
Madhav Swaminathan, MBBS, MD, FA...Professor with Tenure, Vice-Chair, Faculty Affairs, Duke UniversityПотвърден имейл адрес: mc.duke.edu
Mitch HeflinПотвърден имейл адрес: duke.edu
Madeleine Clare ElishGoogle ResearchПотвърден имейл адрес: columbia.edu

Следене

Mark Sendak

Population Health & Data Science Lead, Duke Institute for Health Innovation

Потвърден имейл адрес: duke.edu - Начална страница

health innovation data quality health policy machine learning for healthcare health information technology


Заглавие Сортиране по цитати Сортиране по година Сортиране по 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	743	2019
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	180	2018
" 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	177	2020
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	166	2017
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	128	2020
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	116	2020
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	115	2020
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	112	2020
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	91	2020
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	74	2020
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	58	2019
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	47	2017
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	46	2016
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	41	2020
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	26	2022
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	21	2022
AI on the Front Lines KC Kellogg, M Sendak, S Balu MIT Sloan Management Review 63 (4), 2022	21	2022
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	21	2022
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	19	2023
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	17	2021

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