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ORCIDHarlan M. Krumholz
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2020 – today
- 2024
[j24]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:
StrokeClassifier: ischemic stroke etiology classification by ensemble consensus modeling using electronic health records. npj Digit. Medicine 7(1) (2024)- 2023
- [j23]Nathan C. Hurley, Sanket S. Dhruva, Nihar Desai, Joseph R. Ross, Che Ngufor, Frederick Masoudi, Harlan M. Krumholz, Bobak J. Mortazavi:
Clinical Phenotyping with an Outcomes-driven Mixture of Experts for Patient Matching and Risk Estimation. ACM Trans. Comput. Heal. 4(4): 21:1-21:18 (2023) - [j22]Yuntian Liu, Jeph Herrin, Chenxi Huang, Rohan Khera, Lovedeep Singh Dhingra, Weilai Dong, Bobak J. Mortazavi, Harlan M. Krumholz, Yuan Lu:
Nonexercise machine learning models for maximal oxygen uptake prediction in national population surveys. J. Am. Medical Informatics Assoc. 30(5): 943-952 (2023) - [j21]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:
Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices. npj Digit. Medicine 6 (2023) - [j20]Evangelos K. Oikonomou, Phyllis M. Thangaraj, Deepak L. Bhatt, Joseph S. Ross, Lawrence H. Young, Harlan M. Krumholz, Marc A. Suchard, Rohan Khera:
An explainable machine learning-based phenomapping strategy for adaptive predictive enrichment in randomized clinical trials. npj Digit. Medicine 6 (2023) - 2022
- [j19]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:
Neural Natural Language Processing for unstructured data in electronic health records: A review. Comput. Sci. Rev. 46: 100511 (2022) - [j18]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:
Aligning mission to digital health strategy in academic medical centers. npj Digit. Medicine 5 (2022) - [j17]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:
A multicenter evaluation of computable phenotyping approaches for SARS-CoV-2 infection and COVID-19 hospitalizations. npj Digit. Medicine 5 (2022) - [j16]Makoto Mori, Sanket S. Dhruva, Arnar Geirsson, Harlan M. Krumholz:
Characterization of multi-domain postoperative recovery trajectories after cardiac surgery using a digital platform. npj Digit. Medicine 5 (2022) - 2021
- [j15]Nathan C. Hurley, Erica S. Spatz, Harlan M. Krumholz, Roozbeh Jafari, Bobak J. Mortazavi:
A Survey of Challenges and Opportunities in Sensing and Analytics for Risk Factors of Cardiovascular Disorders. ACM Trans. Comput. Heal. 2(1): 9:1-9:42 (2021) - [j14]Martijn J. Schuemie, Patrick B. Ryan, Nicole Pratt, Ruijun Chen, Seng Chan You, Harlan M. Krumholz, David Madigan, George Hripcsak, Marc A. Suchard:
Erratum to: Large-Scale Evidence Generation and Evaluation across a Network of Databases (LEGEND): Assessing Validity Using Hypertension as a Case Study. J. Am. Medical Informatics Assoc. 28(1): 196 (2021) - [j13]Wade L. Schulz, H. Patrick Young, Andreas Coppi, Bobak J. Mortazavi, Zhenqiu Lin, Raymond A. Jean, Harlan M. Krumholz:
Temporal relationship of computed and structured diagnoses in electronic health record data. BMC Medical Informatics Decis. Mak. 21(1): 61 (2021) - [i9]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 R. Radev:
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review. CoRR abs/2107.02975 (2021) - 2020
- [j12]Martijn J. Schuemie, Patrick B. Ryan, Nicole Pratt, Ruijun Chen, Seng Chan You, Harlan M. Krumholz, David Madigan, George Hripcsak, Marc A. Suchard:
Large-scale evidence generation and evaluation across a network of databases (LEGEND): assessing validity using hypertension as a case study. J. Am. Medical Informatics Assoc. 27(8): 1268-1277 (2020) - [j11]Martijn J. Schuemie, Patrick B. Ryan, Nicole Pratt, Ruijun Chen, Seng Chan You, Harlan M. Krumholz, David Madigan, George Hripcsak, Marc A. Suchard:
Principles of Large-scale Evidence Generation and Evaluation across a Network of Databases (LEGEND). J. Am. Medical Informatics Assoc. 27(8): 1331-1337 (2020) - [j10]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:
A structural variation reference for medical and population genetics. Nat. 581(7809): 444-451 (2020) - [j9]Amarnath R. Annapureddy, Suveen Angraal, Cesar Caraballo, Alyssa Grimshaw, Chenxi Huang, Bobak J. Mortazavi, Harlan M. Krumholz:
The National Institutes of Health funding for clinical research applying machine learning techniques in 2017. npj Digit. Medicine 3 (2020) - [j8]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:
Digitizing clinical trials. npj Digit. Medicine 3 (2020) - [j7]Wade L. Schulz, Joseph C. Kvedar, Harlan M. Krumholz:
Agile analytics to support rapid knowledge pipelines. npj Digit. Medicine 3 (2020) - [c5]Kaan Sel, Alexander Brown, Hongwoo Jang, Harlan M. Krumholz, Nanshu Lu, Roozbeh Jafari:
A Wrist-worn Respiration Monitoring Device using Bio-Impedance*. EMBC 2020: 3989-3993 - [c4]Uri Shaham, Tom Zahavy, Cesar Caraballo, Shiwani Mahajan, Daisy Massey, Harlan M. Krumholz:
Learning to Ask Medical Questions using Reinforcement Learning. MLHC 2020: 2-26 - [c3]Lida Zhang, Nathan C. Hurley, Bassem Ibrahim, Erica S. Spatz, Harlan M. Krumholz, Roozbeh Jafari, Bobak Jack Mortazavi:
Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks. MLHC 2020: 97-120 - [i8]Uri Shaham, Tom Zahavy, Cesar Caraballo, Shiwani Mahajan, Daisy Massey, Harlan M. Krumholz:
Learning to Ask Medical Questions using Reinforcement Learning. CoRR abs/2004.00994 (2020) - [i7]Lida Zhang, Nathan C. Hurley, Bassem Ibrahim, Erica S. Spatz, Harlan M. Krumholz, Roozbeh Jafari, Bobak J. Mortazavi:
Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks. CoRR abs/2007.12802 (2020)
2010 – 2019
- 2019
- [j6]Barbara J. Evans, Harlan M. Krumholz:
People-powered data collaboratives: fueling data science with the health-related experiences of individuals. J. Am. Medical Informatics Assoc. 26(2): 159-161 (2019) - [i6]Nathan C. Hurley, Erica S. Spatz, Harlan M. Krumholz, Roozbeh Jafari, Bobak J. Mortazavi:
A Survey of Challenges and Opportunities in Sensing and Analytics for Cardiovascular Disorders. CoRR abs/1908.06170 (2019) - [i5]Irene Li, Michihiro Yasunaga, Muhammed Yavuz Nuzumlali, Cesar Caraballo, Shiwani Mahajan, Harlan M. Krumholz, Dragomir R. Radev:
A Neural Topic-Attention Model for Medical Term Abbreviation Disambiguation. CoRR abs/1910.14076 (2019) - 2018
- [j5]Carolyn T. Lye, Howard P. Forman, Jodi G. Daniel, Harlan M. Krumholz:
The 21st Century Cures Act and electronic health records one year later: will patients see the benefits? J. Am. Medical Informatics Assoc. 25(9): 1218-1220 (2018) - [j4]Haider J. Warraich, Robert M. Califf, Harlan M. Krumholz:
The digital transformation of medicine can revitalize the patient-clinician relationship. npj Digit. Medicine 1 (2018) - [c2]Arash Pakbin, Parvez Rafi, Nate Hurley, Wade L. Schulz, Harlan M. Krumholz, Bobak Jack Mortazavi:
Prediction of ICU Readmissions Using Data at Patient Discharge. EMBC 2018: 4932-4935 - [i4]Hao Dai, H. Patrick Young, Thomas J. S. Durant, Guannan Gong, Mingming Kang, Harlan M. Krumholz, Wade L. Schulz, Lixin Jiang:
TrialChain: A Blockchain-Based Platform to Validate Data Integrity in Large, Biomedical Research Studies. CoRR abs/1807.03662 (2018) - [i3]Benjamin Au, Uri Shaham, Sanket S. Dhruva, Georgios Bouras, Ecaterina Cristea, Alexandra Lansky, Andreas Coppi, Fred Warner, Shu-Xia Li, Harlan M. Krumholz:
Automated Characterization of Stenosis in Invasive Coronary Angiography Images with Convolutional Neural Networks. CoRR abs/1807.10597 (2018) - [i2]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:
A Scalable Data Science Platform for Healthcare and Precision Medicine Research. CoRR abs/1808.04849 (2018) - 2017
- [j3]Adam Steventon, Sarwat I. Chaudhry, Zhenqiu Lin, Jennifer A. Mattera, Harlan M. Krumholz:
Assessing the reliability of self-reported weight for the management of heart failure: application of fraud detection methods to a randomised trial of telemonitoring. BMC Medical Informatics Decis. Mak. 17(1): 43:1-43:13 (2017) - [j2]Bobak Mortazavi, Nihar Desai, Jing Zhang, Andreas Coppi, Fred Warner, Harlan M. Krumholz, Sahand Negahban:
Prediction of Adverse Events in Patients Undergoing Major Cardiovascular Procedures. IEEE J. Biomed. Health Informatics 21(6): 1719-1729 (2017) - 2015
- [i1]Alexander Cloninger, Ronald R. Coifman, Nicholas Downing, Harlan M. Krumholz:
Bigeometric Organization of Deep Nets. CoRR abs/1507.00220 (2015)
2000 – 2009
- 2005
- [c1]Andrea L. Benin, Harlan M. Krumholz, Eugene Shapiro, Cynthia Brandt:
Validation of a System for Quality Improvement: Preliminary Data. AMIA 2005 - 2004
- [j1]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:
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. BMC Bioinform. 5: 49 (2004)
Coauthor Index
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last updated on 2024-10-17 20:32 CEST by the dblp team
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