Výsledky vyhledávání - Tristan Naumann
- Zobrazuji výsledky 1 - 9 z 9
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Natural Language Processing for EHR-Based Computational Phenotyping Autor Zexian Zeng, Yu Deng, Xiaoyu Li, Tristan Naumann, Yuan Luo
Vydáno 2018Revisão -
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3
MIMIC-Extract Autor Shirly Wang, Matthew B. A. McDermott, Geeticka Chauhan, Marzyeh Ghassemi, Michael C. Hughes, Tristan Naumann
Vydáno 2020Pré-impressão -
4
A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data Autor Marzyeh Ghassemi, Marco A. F. Pimentel, Tristan Naumann, Thomas J. Brennan, David A. Clifton, Peter Szolovits, Mengling Feng
Vydáno 2015Artigo -
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Machine learning for healthcare that matters: Reorienting from technical novelty to equitable impact Autor Aparna Balagopalan, Ioana Baldini, Leo Anthony Celi, Judy Wawira Gichoya, Liam G. McCoy, Tristan Naumann, Uri Shalit, Mihaela van der Schaar, Kiri L. Wagstaff
Vydáno 2024Artigo -
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Trends and Focus of Machine Learning Applications for Health Research Autor Brett K. Beaulieu‐Jones, Samuel G. Finlayson, Corey Chivers, Irene A. Chen, Matthew B. A. McDermott, Jaz Kandola, Adrian V. Dalca, Andrew L. Beam, Madalina Fiterau, Tristan Naumann
Vydáno 2019Artigo -
7
Making Big Data Useful for Health Care: A Summary of the Inaugural MIT Critical Data Conference Autor Omar Badawi, Thomas P. Brennan, Leo Anthony Celi, Mengling Feng, Marzyeh Ghassemi, Andrea Ippolito, Alistair E. W. Johnson, Roger G. Mark, Louis Mayaud, G.B. Moody, Christopher Moses, Tristan Naumann, Vipan Nikore, Marco A. F. Pimentel, Tom Pollard, Mauro César de Oliveira Santos, David J. Stone, Andrew J. Zimolzak
Vydáno 2014Artigo -
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The role of machine learning in clinical research: transforming the future of evidence generation Autor E. Hope Weissler, Tristan Naumann, Tomas Andersson, Rajesh Ranganath, Olivier Elemento, Yuan Luo, Daniel F. Freitag, James Benoit, Michael C. Hughes, Faisal M. Khan, Paul Slater, Khader Shameer, Matthew T. Roe, Emmette R. Hutchison, Scott H. Kollins, Uli C. Broedl, Zhaoling Meng, Jennifer Wong, Lesley H. Curtis, Erich Huang, Marzyeh Ghassemi
Vydáno 2021Revisão -
9
Toward a responsible future: recommendations for AI-enabled clinical decision support Autor Steven E. Labkoff, Bilikis Oladimeji, Joseph Kannry, Anthony Solomonides, Russell Leftwich, Eileen Koski, Amanda L. Joseph, Monica López-González, Lee A. Fleisher, Kimberly Nolen, Sayon Dutta, Deborah R Levy, Amy Price, Paul Barr, Jonathan D. Hron, Baihan Lin, Gyana Srivastava, Núria Pastor, Unai Sánchez Luque, Tien Thi Thuy Bui, Reva Singh, T. A. Williams, Mark G. Weiner, Tristan Naumann, Dean F. Sittig, Gretchen Purcell Jackson, Yuri Quintana
Vydáno 2024Artigo
Vyhledávací nástroje:
Související témata
Computer science
Artificial intelligence
Data science
Health care
Mathematics
Medicine
Political science
Data mining
Economic growth
Economics
Engineering
Knowledge management
Law
Machine learning
Philosophy
Statistics
Big data
Biochemistry
Chemistry
Data collection
Gene
Linguistics
Operating system
Programming language
Psychology
Software deployment
Analytics
Benchmark (surveying)
Bioinformatics
Biology