Literature DB >> 29130079

Enabling Machine Learning in Critical Care.

Tom J Pollard1, Leo Anthony Celi1.   

Abstract

Critical care units are home to some of the most sophisticated patient technology within hospitals. In parallel, the field of machine learning is advancing rapidly and increasingly touching our lives. To facilitate the adoption of machine learning approaches in critical care, we must become better at sharing and integrating data. Greater emphasis on collaboration- outside the traditional "multidisciplinary" realm and into the engineering, mathematical, and computer sciences-will help us to achieve this. Meanwhile, those at the forefront of the health data revolution must earn and maintain society's trust and demonstrate that data sharing and reuse is a necessary step to improve patient care.

Entities:  

Year:  2017        PMID: 29130079      PMCID: PMC5679276     

Source DB:  PubMed          Journal:  ICU Manag Pract


  6 in total

Review 1.  A "datathon" model to support cross-disciplinary collaboration.

Authors:  Jerôme Aboab; Leo Anthony Celi; Peter Charlton; Mengling Feng; Mohammad Ghassemi; Dominic C Marshall; Louis Mayaud; Tristan Naumann; Ned McCague; Kenneth E Paik; Tom J Pollard; Matthieu Resche-Rigon; Justin D Salciccioli; David J Stone
Journal:  Sci Transl Med       Date:  2016-04-06       Impact factor: 17.956

2.  Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.

Authors:  Varun Gulshan; Lily Peng; Marc Coram; Martin C Stumpe; Derek Wu; Arunachalam Narayanaswamy; Subhashini Venugopalan; Kasumi Widner; Tom Madams; Jorge Cuadros; Ramasamy Kim; Rajiv Raman; Philip C Nelson; Jessica L Mega; Dale R Webster
Journal:  JAMA       Date:  2016-12-13       Impact factor: 56.272

3.  Dermatologist-level classification of skin cancer with deep neural networks.

Authors:  Andre Esteva; Brett Kuprel; Roberto A Novoa; Justin Ko; Susan M Swetter; Helen M Blau; Sebastian Thrun
Journal:  Nature       Date:  2017-01-25       Impact factor: 49.962

4.  Bridging the Health Data Divide.

Authors:  Leo Anthony Celi; Guido Davidzon; Alistair Ew Johnson; Matthieu Komorowski; Dominic C Marshall; Sunil S Nair; Colin T Phillips; Tom J Pollard; Jesse D Raffa; Justin D Salciccioli; Francisco Muge Salgueiro; David J Stone
Journal:  J Med Internet Res       Date:  2016-12-20       Impact factor: 5.428

5.  The MIMIC Code Repository: enabling reproducibility in critical care research.

Authors:  Alistair Ew Johnson; David J Stone; Leo A Celi; Tom J Pollard
Journal:  J Am Med Inform Assoc       Date:  2018-01-01       Impact factor: 4.497

6.  MIMIC-III, a freely accessible critical care database.

Authors:  Alistair E W Johnson; Tom J Pollard; Lu Shen; Li-Wei H Lehman; Mengling Feng; Mohammad Ghassemi; Benjamin Moody; Peter Szolovits; Leo Anthony Celi; Roger G Mark
Journal:  Sci Data       Date:  2016-05-24       Impact factor: 6.444

  6 in total
  3 in total

1.  Validation of an Automatic Tagging System for Identifying Respiratory and Hemodynamic Deterioration Events in the Intensive Care Unit.

Authors:  Danielle Jeddah; Ofer Chen; Ari M Lipsky; Andrea Forgacs; Gershon Celniker; Craig M Lilly; Itai M Pessach
Journal:  Healthc Inform Res       Date:  2021-07-31

2.  A deep learning model for real-time mortality prediction in critically ill children.

Authors:  Soo Yeon Kim; Saehoon Kim; Joongbum Cho; Young Suh Kim; In Suk Sol; Youngchul Sung; Inhyeok Cho; Minseop Park; Haerin Jang; Yoon Hee Kim; Kyung Won Kim; Myung Hyun Sohn
Journal:  Crit Care       Date:  2019-08-14       Impact factor: 9.097

3.  Predicting open wound mortality in the ICU using machine learning.

Authors:  Ronald K Akiki; Rajsavi S Anand; Mimi Borrelli; Indra Neil Sarkar; Paul Y Liu; Elizabeth S Chen
Journal:  J Emerg Crit Care Med       Date:  2021-04-25
  3 in total

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