Jenna Wiens

Geciteerd door

	Alles	Sinds 2019
Citaties	4623	4258
h-index	35	33
i10-index	68	63

1100

550

275

825

2014201520162017201820192020202120222023202431 41 46 72 127 203 467 677 882 1021 980

Openbare toegang

Alles bekijken

66 artikelen

0 artikelen

beschikbaar

niet beschikbaar

Op basis van financieringsmachtigingen

Medeauteurs

Michael W. SjodingUniversity of MichiganGeverifieerd e-mailadres voor umich.edu
John GuttagGeverifieerd e-mailadres voor mit.edu
Shengpu TangAssistant Professor of Computer Science, Emory UniversityGeverifieerd e-mailadres voor emory.edu
Erica S. Shenoy, MD, PhDMassachusetts General Hospital and Harvard Medical SchoolGeverifieerd e-mailadres voor mgh.Harvard.edu
Ian FoxUniversity of MichiganGeverifieerd e-mailadres voor umich.edu
Jeeheh OhUniversity of Michigan Ann ArborGeverifieerd e-mailadres voor umich.edu
Fahad KamranPhD CandidateGeverifieerd e-mailadres voor umich.edu
Eric HorvitzMicrosoftGeverifieerd e-mailadres voor microsoft.com
Anna GoldenbergScientist, SickKids Research Institute; Assistant Professor Department of Computer Science, University of TorontoGeverifieerd e-mailadres voor utoronto.ca
Jiaxuan WangGE HealthCareGeverifieerd e-mailadres voor umich.edu
Finale Doshi-VelezProfessor, HarvardGeverifieerd e-mailadres voor seas.harvard.edu
Mark SendakPopulation Health & Data Science Lead, Duke Institute for Health InnovationGeverifieerd e-mailadres voor duke.edu
Maggie MakarUniversity of MichiganGeverifieerd e-mailadres voor umich.edu
Erkin ÖtleşUniversity of MichiganGeverifieerd e-mailadres voor med.umich.edu
Vincent B. YoungUniversity of MichiganGeverifieerd e-mailadres voor umich.edu
Sarah JabbourUniversity of MichiganGeverifieerd e-mailadres voor umich.edu
Thomas S. ValleyAssociate Professor, University of MichiganGeverifieerd e-mailadres voor med.umich.edu
Rodica Pop-BusuiJordan Schnitzer Endowed Chair in Diabetes, Professor of Medicine, Endocrinology and Diabetes OHSUGeverifieerd e-mailadres voor ohsu.edu
Dr. Marzyeh GhassemiAssociate Professor, EECS/IMES, MITGeverifieerd e-mailadres voor mit.edu
Katherine HellerGoogle ResearchGeverifieerd e-mailadres voor gatsby.ucl.ac.uk

Volgen

Jenna Wiens

University of Michigan

Geverifieerd e-mailadres voor umich.edu - Homepage

Machine Learning for Healthcare


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
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	800	2019
Machine Learning for Healthcare: On the Verge of a Major Shift in Healthcare Epidemiology J Wiens, ES Shenoy Clinical Infectious Diseases, 2017	577	2017
A framework for effective application of machine learning to microbiome-based classification problems BD Topçuoğlu, NA Lesniak, MT Ruffin IV, J Wiens, PD Schloss MBio 11 (3), 10.1128/mbio. 00434-20, 2020	152	2020
A study in transfer learning: leveraging data from multiple hospitals to enhance hospital-specific predictions J Wiens, J Guttag, E Horvitz Journal of the American Medical Informatics Association 21 (4), 699-706, 2014	152	2014
Patient risk stratification for hospital-associated c. diff as a time-series classification task J Wiens, E Horvitz, J Guttag Advances in neural information processing systems 25, 2012	147	2012
A Generalizable, Data-Driven Approach to Predict Daily Risk of Clostridium difficile Infection at Two Large Academic Health Centers J Oh, M Makar, C Fusco, R McCaffrey, K Rao, EE Ryan, L Washer, ... Infection Control and Hospital Epidemiology 39 (4), 425-433, 2018	138	2018
Shapley flow: A graph-based approach to interpreting model predictions J Wang, J Wiens, S Lundberg International Conference on Artificial Intelligence and Statistics, 721-729, 2021	117	2021
Evaluating a widely implemented proprietary deterioration index model among hospitalized patients with COVID-19 K Singh, TS Valley, S Tang, BY Li, F Kamran, MW Sjoding, J Wiens, ... Annals of the American Thoracic Society 18 (7), 1129-1137, 2021	112*	2021
Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories I Fox, L Ang, M Jaiswal, R Pop-Busui, J Wiens KDD'18 Proceedings of the 24th ACM SIGKDD International Conference on …, 2018	108	2018
Deep reinforcement learning for closed-loop blood glucose control I Fox, J Lee, R Pop-Busui, J Wiens Machine Learning for Healthcare Conference, 508-536, 2020	98*	2020
Machine learning for patient risk stratification for acute respiratory distress syndrome D Zeiberg, T Prahlad, BK Nallamothu, TJ Iwashyna, J Wiens, MW Sjoding PloS one 14 (3), e0214465, 2019	92	2019
Democratizing EHR analyses with FIDDLE: a flexible data-driven preprocessing pipeline for structured clinical data S Tang, P Davarmanesh, Y Song, D Koutra, MW Sjoding, J Wiens Journal of the American Medical Informatics Association 27 (12), 1921-1934, 2020	91	2020
Model selection for offline reinforcement learning: Practical considerations for healthcare settings S Tang, J Wiens Machine Learning for Healthcare Conference, 2-35, 2021	88	2021
Patient risk stratification with time-varying parameters: a multitask learning approach J Wiens, J Guttag, E Horvitz Journal of Machine Learning Research 17 (79), 1-23, 2016	86	2016
Active learning applied to patient-adaptive heartbeat classification J Wiens, J Guttag Advances in neural information processing systems 23, 2010	74	2010
Heart sound classification based on temporal alignment techniques JJG Ortiz, CP Phoo, J Wiens 2016 computing in cardiology conference (CinC), 589-592, 2016	69	2016
Using Machine Learning and the Electronic Health Record to Predict Complicated Clostridium difficile Infection BY Li, J Oh, VB Young, K Rao, J Wiens Open forum infectious diseases 6 (5), ofz186, 2019	68	2019
Learning Data-Driven Patient Risk Stratification Models for Clostridium difficile J Wiens, WN Campbell, ES Franklin, JV Guttag, E Horvitz Open forum infectious diseases 1 (2), ofu045, 2014	66	2014
Learning to Exploit Invariances in Clinical Time-Series Data using Sequence Transformer Networks J Oh, J Wang, J Wiens Proceedings of the 3rd Machine Learning for Health Care (MLHC), 2018	65	2018
Diagnosing bias in data-driven algorithms for healthcare J Wiens, WN Price, MW Sjoding Nature medicine 26 (1), 25-26, 2020	64	2020

Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.

Artikelen 1–20

Citaties per jaar

Dubbele citaties

Samengevoegde citaties

Medeauteurs toevoegenMedeauteurs

Volgen

Geciteerd door

Medeauteurs