Author details

Full Name

Mark Sendak

Affiliation

Duke Institute for Health Innovation.

ORCID

Career Start Year

2017

Papers

H Index

Expertise

CM4AI Collaborator

PMID	Paper Title	Journal Title	Published Year
38053467	Development and Temporal Validation of a Machine Learning Model to Predict Clinical Deterioration.	Hosp Pediatr	2024
36125084	Development of a Human Immunodeficiency Virus Risk Prediction Model Using Electronic Health Record Data From an Academic Health System in the Southern United States.	Clin Infect Dis	2023
37669138	A framework for understanding label leakage in machine learning for health care.	J Am Med Inform Assoc	2023
37733427	Development and Integration of Machine Learning Algorithm to Identify Peripheral Arterial Disease: Multistakeholder Qualitative Study.	JMIR Form Res	2023
37123436	Accelerating health system innovation: principles and practices from the Duke Institute for Health Innovation.	Patterns (N Y)	2023
37249601	Risk of in-hospital Deterioration for Children with Single Ventricle Physiology.	Pediatr Cardiol	2023
36895323	Editorial: Surfacing best practices for AI software development and integration in healthcare.	Front Digit Health	2023
34954571	Advancing primary care with Artificial Intelligence and Machine Learning.	Healthc (Amst)	2022
35583111	Social determinants of health data in solid organ transplantation: National data sources and future directions.	Am J Transplant	2022
36713769	Meeting the Moment: Addressing Barriers and Facilitating Clinical Adoption of Artificial Intelligence in Medical Diagnosis.	NAM Perspect	2022
36341258	Use of convolutional neural networks in skin lesion analysis using real world image and non-image data.	Front Med (Lausanne)	2022
35968868	Respiratory Syncytial Virus During the COVID-19 Pandemic Compared to Historic Levels: A Retrospective Cohort Study of a Health System.	J Infect Dis	2022
36194821	Assessment of Practices Affecting Racial and Ethnic COVID-19 Vaccination Equity in 10 Large US Cities.	J Public Health Manag Pract	2022
33972128	Development and Validation of Machine Learning Models to Predict Admission From Emergency Department to Inpatient and Intensive Care Units.	Ann Emerg Med	2021
33570572	Assessment of Spanish Translation of Websites at Top-Ranked US Hospitals.	JAMA Netw Open	2021
33757310	Electronic Health Record Integration of Predictive Analytics to Select High-Risk Stable Patients With Non-ST-Segment-Elevation Myocardial Infarction for Intensive Care Unit Admission.	Circ Cardiovasc Qual Outcomes	2021
34498049	Looking for clinician involvement under the wrong lamp post: The need for collaboration measures.	J Am Med Inform Assoc	2021
33933904	Impact of diagnosis code grouping method on clinical prediction model performance: A multi-site retrospective observational study.	Int J Med Inform	2021
33957456	Preliminary results of a clinical research and innovation scholarship to prepare medical students to lead innovations in health care.	Healthc (Amst)	2021
32219182	Presenting machine learning model information to clinical end users with model facts labels.	NPJ Digit Med	2020
35291747	Advancing Artificial Intelligence in Health Settings Outside the Hospital and Clinic.	NAM Perspect	2020
32031645	Prospective and External Evaluation of a Machine Learning Model to Predict In-Hospital Mortality of Adults at Time of Admission.	JAMA Netw Open	2020
31945461	Assessing Quality of Surgical Real-World Data from an Automated Electronic Health Record Pipeline.	J Am Coll Surg	2020
33211015	Integrating a Machine Learning System Into Clinical Workflows: Qualitative Study.	J Med Internet Res	2020
32734166	Machine learning for early detection of sepsis: an internal and temporal validation study.	JAMIA Open	2020
32673244	Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study.	JMIR Med Inform	2020
30705919	Machine Learning in Health Care: A Critical Appraisal of Challenges and Opportunities.	EGEMS (Wash DC)	2019
31427808	Do no harm: a roadmap for responsible machine learning for health care.	Nat Med	2019
31537911	Author Correction: Do no harm: a roadmap for responsible machine learning for health care.	Nat Med	2019
30481172	Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): A retrospective, single-site study.	PLoS Med	2018
28837212	Barriers to Achieving Economies of Scale in Analysis of EHR Data. A Cautionary Tale.	Appl Clin Inform	2017

1 - 31 of 31

Keith E Morse

Stanford University School of Medicine

Career Start Year 2017

Number of shared co-authors 0

Lina Sulieman

Vanderbilt University Medical Center

Career Start Year 2016

Number of shared co-authors 0

Suranga N Kasthurirathne

Center for Biomedical Informatics, Regenstrief Institute

Career Start Year 2015

Number of shared co-authors 0

Gloria Lipori

University of Florida Health

Career Start Year 2014

Number of shared co-authors 1

Andrew J Zimolzak

Center for Innovations in Quality, Michael E. DeBakey VA Medical Center

Career Start Year 2013

Number of shared co-authors 3

Jonathan H Chen

Stanford University School of Medicine

Career Start Year 2013

Number of shared co-authors 2

Daniel Fabbri

Vanderbilt University Medical Center

Career Start Year 2013

Number of shared co-authors 2

Santiago Romero-Brufau

Mayo Clinic College of Medicine

Career Start Year 2012

Number of shared co-authors 1

Vignesh Subbian

College of Engineering, University of Arizona

Career Start Year 2012

Number of shared co-authors 1

Gary E Weissman

Perelman School of Medicine, University of Pennsylvania

Career Start Year 2012

Number of shared co-authors 1

Tom J Pollard

Massachusetts Institute of Technology, Scientific Data - Nature, Software Sustainability Institute, University College London, University of Law - London Bloomsbury Centre

Career Start Year 2012

Number of shared co-authors 2

Judy Wawira Gichoya

Emory University

Career Start Year 2012

Number of shared co-authors 1

Yiye Zhang

NYP Weill Cornell Medical Center, NewYork-Presbyterian Hospital

Career Start Year 2011

Number of shared co-authors 0

Allison B McCoy

Vanderbilt University Medical Center

Career Start Year 2010

Number of shared co-authors 1

Evan Minty

O'Brien Institute for Public Health, University of Calgary

Career Start Year 2009

Number of shared co-authors 1

Simon C Mathews

Johns Hopkins Medicine

Career Start Year 2008

Number of shared co-authors 1

Alvin D Jeffery

Vanderbilt University School of Nursing

Career Start Year 2008

Number of shared co-authors 1

Robert El-Kareh

University of California

Career Start Year 2008

Number of shared co-authors 1

Karthik Natarajan

Columbia University Irving Medical Center

Career Start Year 2007

Number of shared co-authors 1

Adler Perotte

Columbia University

Career Start Year 2005

Number of shared co-authors 1

Andrew D Boyd

University of Illinois Chicago

Career Start Year 2005

Number of shared co-authors 0

Saptarshi Purkayastha

Indiana University-Purdue University Indianapolis

Career Start Year 2005

Number of shared co-authors 1

Yindalon Aphinyanaphongs

New York University

Career Start Year 2003

Number of shared co-authors 0

Colin G Walsh

Vanderbilt University, Vanderbilt University Medical Center

Career Start Year 2001

Number of shared co-authors 2

Rema Padman

Carnegie Mellon University.

Career Start Year 2000

Number of shared co-authors 0

David J Stone

University of Virginia School of Medicine, USA Center for Advanced Medical Analytics

Career Start Year 2000

Number of shared co-authors 1

Tina Hernandez-Boussard

Stanford University

Career Start Year 1998

Number of shared co-authors 0

Peter J Embi

Vanderbilt University Medical Center

Career Start Year 1998

Number of shared co-authors 1

Leo Anthony Celi

Harvard T.H. Chan School of Public Health, MIT

Career Start Year 1998

Number of shared co-authors 4

John H Holmes

University of Pennsylvania Perelman School of Medicine

Career Start Year 1985

Number of shared co-authors 2

row(s) 1 - 30 of 30

Suresh Balu

Duke Institute for Health Innovation, Duke University

Co-authored papers 24

Katherine Heller

Duke University

Co-authored papers 5

Joseph Futoma

Harvard University, USA Duke University

Co-authored papers 4

Michael Matheny

American College of Medical Informatics, Department of Veteran Affairs, Harvard University T H Chan School of Public Health, Massachusetts Institute of Technology, The American Society for Clinical Investigation, University of Kentucky, Vanderbilt University Medical Center, Vanderbilt University Medical School

Co-authored papers 3

Michael E Matheny

Co-authored papers 3

Anna Goldenberg

SickKids Research Institute

Co-authored papers 2

Carmel Shachar

Center for Health Law and Policy Innovation

Co-authored papers 2

Suchi Saria

Johns Hopkins University

Co-authored papers 2