Harlan M. Krumholz

According to our database, Harlan M. Krumholz authored at least 35 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

StrokeClassifier: ischemic stroke etiology classification by ensemble consensus modeling using electronic health records.

Ho-Joon Lee, Lee H. Schwamm, Lauren H. Sansing, Hooman Kamel, Adam DeHavenon, Ashby C. Turner, Kevin N. Sheth, Smita Krishnaswamy, Cynthia Brandt, Hongyu Zhao, Harlan M. Krumholz, Richa Sharma

npj Digit. Medicine, 2024

2023

Clinical Phenotyping with an Outcomes-driven Mixture of Experts for Patient Matching and Risk Estimation.

Nathan C. Hurley, Sanket S. Dhruva, Nihar Desai, Joseph R. Ross, Che Ngufor, Frederick Masoudi, Harlan M. Krumholz, Bobak J. Mortazavi

ACM Trans. Comput. Heal., October, 2023

Nonexercise machine learning models for maximal oxygen uptake prediction in national population surveys.

Yuntian Liu, Jeph Herrin, Chenxi Huang, Rohan Khera, Lovedeep Singh Dhingra, Weilai Dong, Bobak J. Mortazavi, Harlan M. Krumholz, Yuan Lu

J. Am. Medical Informatics Assoc., April, 2023

An explainable machine learning-based phenomapping strategy for adaptive predictive enrichment in randomized clinical trials.

Evangelos K. Oikonomou, Phyllis M. Thangaraj, Deepak L. Bhatt, Joseph S. Ross, Lawrence H. Young, Harlan M. Krumholz, Marc A. Suchard, Rohan Khera

npj Digit. Medicine, 2023

Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices.

Akshay Khunte, Veer Sangha, Evangelos K. Oikonomou, Lovedeep Singh Dhingra, Arya Aminorroaya, Bobak J. Mortazavi, Andreas Coppi, Cynthia A. Brandt, Harlan M. Krumholz, Rohan Khera

npj Digit. Medicine, 2023

2022

Characterization of multi-domain postoperative recovery trajectories after cardiac surgery using a digital platform.

Makoto Mori, Sanket S. Dhruva, Arnar Geirsson, Harlan M. Krumholz

npj Digit. Medicine, 2022

A multicenter evaluation of computable phenotyping approaches for SARS-CoV-2 infection and COVID-19 hospitalizations.

Rohan Khera, Bobak J. Mortazavi, Veer Sangha, Frederick Warner, H. Patrick Young, Joseph S. Ross, Nilay D. Shah, Elitza S. Theel, William G. Jenkinson, Camille Knepper, Karen H. Wang, David Peaper, Richard A. Martinello, Cynthia A. Brandt, Zhenqiu Lin, Albert I. Ko, Harlan M. Krumholz, Benjamin D. Pollock, Wade L. Schulz

npj Digit. Medicine, 2022

Aligning mission to digital health strategy in academic medical centers.

Adam B. Cohen, Lisa Stump, Harlan M. Krumholz, Margaret Cartiera, Sanchita Jain, L. Scott Sussman, Allen Hsiao, Walter Lindop, Anita Kuo Ying, Rebecca L. Kaul, Thomas J. Balcezak, Welela Tereffe, Matthew Comerford, Daniel Jacoby, Neema Navai

npj Digit. Medicine, 2022

Neural Natural Language Processing for unstructured data in electronic health records: A review.

Irene Li, Jessica Pan, Jeremy Goldwasser, Neha Verma, Wai Pan Wong, Muhammed Yavuz Nuzumlali, Benjamin Rosand, Yixin Li, Matthew Zhang, David Chang, Richard Andrew Taylor, Harlan M. Krumholz, Dragomir Radev

Comput. Sci. Rev., 2022

2021

Temporal relationship of computed and structured diagnoses in electronic health record data.

Wade L. Schulz, H. Patrick Young, Andreas Coppi, Bobak J. Mortazavi, Zhenqiu Lin, Raymond A. Jean, Harlan M. Krumholz

BMC Medical Informatics Decis. Mak., 2021

Erratum to: Large-Scale Evidence Generation and Evaluation across a Network of Databases (LEGEND): Assessing Validity Using Hypertension as a Case Study.

Martijn J. Schuemie, Patrick B. Ryan, Nicole Pratt, Ruijun Chen, Seng Chan You, Harlan M. Krumholz, David Madigan, George Hripcsak, Marc A. Suchard

J. Am. Medical Informatics Assoc., 2021

A Survey of Challenges and Opportunities in Sensing and Analytics for Risk Factors of Cardiovascular Disorders.

Nathan C. Hurley, Erica S. Spatz, Harlan M. Krumholz, Roozbeh Jafari, Bobak J. Mortazavi

ACM Trans. Comput. Heal., 2021

2020

Agile analytics to support rapid knowledge pipelines.

Wade L. Schulz, Joseph C. Kvedar, Harlan M. Krumholz

npj Digit. Medicine, 2020

Digitizing clinical trials.

Omer T. Inan, P. Tenaerts, Sheila A. Prindiville, H. R. Reynolds, D. S. Dizon, K. Cooper-Arnold, Mintu P. Turakhia, Mark J. Pletcher, Kenzie L. Preston, Harlan M. Krumholz, Benjamin M. Marlin, Kenneth D. Mandl, Predrag V. Klasnja, Bonnie Spring, Erin Iturriaga, R. Campo, P. Desvigne-Nickens, Y. Rosenberg, Steven R. Steinhubl, Robert M. Califf

npj Digit. Medicine, 2020

The National Institutes of Health funding for clinical research applying machine learning techniques in 2017.

Amarnath R. Annapureddy, Suveen Angraal, Cesar Caraballo, Alyssa Grimshaw, Chenxi Huang, Bobak J. Mortazavi, Harlan M. Krumholz

npj Digit. Medicine, 2020

A structural variation reference for medical and population genetics.

Ryan L. Collins, Harrison Brand, Konrad J. Karczewski, Xuefang Zhao, Jessica Alföldi, Laurent C. Francioli, Amit V. Khera, Chelsea Lowther, Laura D. Gauthier, Harold Wang, Nicholas A. Watts, Matthew Solomonson, Alexander Baumann, Ruchi Munshi, Mark Walker, Christopher W. Whelan, Yongqing Huang, Ted Brookings, Ted Sharpe, Matthew R. Stone, Elise Valkanas, Jack Fu, Grace Tiao, Kristen M. Laricchia, Valentín Ruano-Rubio, Christine Stevens, Namrata Gupta, Caroline Cusick, Lauren Margolin, Irina M. Armean, Eric Banks, Louis Bergelson, Kristian Cibulskis, Kristen M. Connolly, Miguel Covarrubias, Beryl B. Cummings, Mark J. Daly, Stacey Donnelly, Yossi Farjoun, Steven Ferriera, Stacey Gabriel, Jeff Gentry, Thibault Jeandet, Diane Kaplan, Christopher Llanwarne, Eric V. Minikel, Benjamin M. Neale, Sam Novod, Anne H. O'Donnell-Luria, Nikelle Petrillo, Timothy Poterba, David Roazen, Andrea Saltzman, Kaitlin E. Samocha, Molly Schleicher, Cotton Seed, José Soto, Kathleen Tibbetts, Charlotte Tolonen, Christopher Vittal, Gordon Wade, Arcturus Wang, Qingbo Wang, James S. Ware, Ben Weisburd, Nicola Whiffin, Carlos A. Aguilar Salinas, Tariq Ahmad, Christine M. Albert, Diego Ardissino, Gil Atzmon, John Barnard, Laurent Beaugerie, Emelia J. Benjamin, Michael Boehnke, Lori L. Bonnycastle, Erwin P. Bottinger, Donald W. Bowden, Matthew J. Bown, John C. Chambers, Juliana C. Chan, Daniel Chasman, Judy Cho, Mina K. Chung, Bruce Cohen, Adolfo Correa, Dana Dabelea, Dawood Darbar, Ravindranath Duggirala, Josée Dupuis, Patrick T. Ellinor, Roberto Elosua, Jeanette Erdmann, Tõnu Esko, Martti Färkkilä, Jose Florez, Andre Franke, Gad Getz, Benjamin Glaser, Stephen J. Glatt, David Goldstein, Clicerio Gonzalez, Leif Groop, Christopher A. Haiman, Craig Hanis, Matthew Harms, Mikko Hiltunen, Matti M. Holi, Christina M. Hultman, Mikko Kallela, Jaakko Kaprio, Sekar Kathiresan, Bong-Jo Kim, Young Jin Kim, George Kirov, Jaspal Kooner, Seppo Koskinen, Harlan M. Krumholz, Subra Kugathasan, Soo Heon Kwak, Markku Laakso, Terho Lehtimäki, Ruth J. F. Loos, Steven A. Lubitz, Ronald C. W. Ma, Daniel G. MacArthur, Jaume Marrugat, Kari M. Mattila, Steven A. McCarroll, Mark I. McCarthy, Dermot McGovern, Ruth McPherson, James B. Meigs, Olle Melander, Andres Metspalu, Peter M. Nilsson, Michael C. O'Donovan, Dost Öngür, Lorena Orozco, Michael J. Owen, Colin N. A. Palmer, Aarno Palotie, Kyong Soo Park, Carlos Pato, Ann E. Pulver, Nazneen Rahman, Anne M. Remes, John D. Rioux, Samuli Ripatti, Dan M. Roden, Danish Saleheen, Veikko Salomaa, Nilesh J. Samani, Jeremiah Scharf, Heribert Schunkert, Moore B. Shoemaker, Pamela Sklar, Hilkka Soininen, Harry Sokol, Tim Spector, Patrick F. Sullivan, Jaana Suvisaari, E. Shyong Tai, Yik Ying Teo, Tuomi Tiinamaija, Ming Tsuang, Dan Turner, Teresa Tusie-Luna, Erkki Vartiainen, Hugh Watkins, Rinse K. Weersma, Maija Wessman, James G. Wilson, Ramnik J. Xavier, Kent D. Taylor, Henry J. Lin, Stephen S. Rich, Wendy S. Post, Yii-Der Ida Chen, Jerome I. Rotter, Chad Nusbaum, Anthony A. Philippakis, Eric S. Lander, Michael E. Talkowski

Nat., 2020

Principles of Large-scale Evidence Generation and Evaluation across a Network of Databases (LEGEND).

Martijn J. Schuemie, Patrick B. Ryan, Nicole Pratt, Ruijun Chen, Seng Chan You, Harlan M. Krumholz, David Madigan, George Hripcsak, Marc A. Suchard

J. Am. Medical Informatics Assoc., 2020

Large-scale evidence generation and evaluation across a network of databases (LEGEND): assessing validity using hypertension as a case study.

Martijn J. Schuemie, Patrick B. Ryan, Nicole Pratt, Ruijun Chen, Seng Chan You, Harlan M. Krumholz, David Madigan, George Hripcsak, Marc A. Suchard

J. Am. Medical Informatics Assoc., 2020

Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks.

Lida Zhang, Nathan C. Hurley, Bassem Ibrahim, Erica S. Spatz, Harlan M. Krumholz, Roozbeh Jafari, Bobak Jack Mortazavi

Proceedings of the Machine Learning for Healthcare Conference, 2020

Learning to Ask Medical Questions using Reinforcement Learning.

Uri Shaham, Tom Zahavy, Cesar Caraballo, Shiwani Mahajan, Daisy Massey, Harlan M. Krumholz

Proceedings of the Machine Learning for Healthcare Conference, 2020

A Wrist-worn Respiration Monitoring Device using Bio-Impedance^*.

Kaan Sel, Alexander Brown, Hongwoo Jang, Harlan M. Krumholz, Nanshu Lu, Roozbeh Jafari

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

People-powered data collaboratives: fueling data science with the health-related experiences of individuals.

Barbara J. Evans, Harlan M. Krumholz

J. Am. Medical Informatics Assoc., 2019

A Neural Topic-Attention Model for Medical Term Abbreviation Disambiguation.

Irene Li, Michihiro Yasunaga, Muhammed Yavuz Nuzumlali, Cesar Caraballo, Shiwani Mahajan, Harlan M. Krumholz, Dragomir R. Radev

CoRR, 2019

A Survey of Challenges and Opportunities in Sensing and Analytics for Cardiovascular Disorders.

Nathan C. Hurley, Erica S. Spatz, Harlan M. Krumholz, Roozbeh Jafari, Bobak J. Mortazavi

CoRR, 2019

2018

The digital transformation of medicine can revitalize the patient-clinician relationship.

Haider J. Warraich, Robert M. Califf, Harlan M. Krumholz

npj Digit. Medicine, 2018

The 21st Century Cures Act and electronic health records one year later: will patients see the benefits?

Carolyn T. Lye, Howard P. Forman, Jodi G. Daniel, Harlan M. Krumholz

J. Am. Medical Informatics Assoc., 2018

A Scalable Data Science Platform for Healthcare and Precision Medicine Research.

Jacob McPadden, Thomas J. S. Durant, Dustin R. Bunch, Andreas Coppi, Nathan Price, Kris Rodgerson, Charles J. Torre Jr., William Byron, H. Patrick Young, Allen L. Hsiao, Harlan M. Krumholz, Wade L. Schulz

CoRR, 2018

Automated Characterization of Stenosis in Invasive Coronary Angiography Images with Convolutional Neural Networks.

Benjamin Au, Uri Shaham, Sanket S. Dhruva, Georgios Bouras, Ecaterina Cristea, Alexandra Lansky, Andreas Coppi, Fred Warner, Shu-Xia Li, Harlan M. Krumholz

CoRR, 2018

TrialChain: A Blockchain-Based Platform to Validate Data Integrity in Large, Biomedical Research Studies.

Hao Dai, H. Patrick Young, Thomas J. S. Durant, Guannan Gong, Mingming Kang, Harlan M. Krumholz, Wade L. Schulz, Lixin Jiang

CoRR, 2018

Prediction of ICU Readmissions Using Data at Patient Discharge.

Arash Pakbin, Parvez Rafi, Nate Hurley, Wade L. Schulz, Harlan M. Krumholz, Bobak Jack Mortazavi

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

Prediction of Adverse Events in Patients Undergoing Major Cardiovascular Procedures.

Bobak Mortazavi, Nihar Desai, Jing Zhang, Andreas Coppi, Fred Warner, Harlan M. Krumholz, Sahand Negahban

IEEE J. Biomed. Health Informatics, 2017

Assessing the reliability of self-reported weight for the management of heart failure: application of fraud detection methods to a randomised trial of telemonitoring.

Adam Steventon, Sarwat I. Chaudhry, Zhenqiu Lin, Jennifer A. Mattera, Harlan M. Krumholz

BMC Medical Informatics Decis. Mak., 2017

2015

Bigeometric Organization of Deep Nets.

Alexander Cloninger, Ronald R. Coifman, Nicholas Downing, Harlan M. Krumholz

CoRR, 2015

2005

Validation of a System for Quality Improvement: Preliminary Data.

Andrea L. Benin, Harlan M. Krumholz, Eugene Shapiro, Cynthia Brandt

Proceedings of the AMIA 2005, 2005

2004

An application of conditional logistic regression and multifactor dimensionality reduction for detecting gene-gene Interactions on risk of myocardial infarction: The importance of model validation.

Christopher S. Coffey, Patricia R. Hebert, Marylyn D. Ritchie, Harlan M. Krumholz, J. Michael Gaziano, Paul M. Ridker, Nancy J. Brown, Douglas E. Vaughan, Jason H. Moore

BMC Bioinform., 2004