Literature DB >> 29028697

Machine Learning and Sepsis: On the Road to Revolution.

Vincent X Liu1, Allan J Walkey.   

Abstract

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Year:  2017        PMID： 29028697      PMCID： PMC5657564          DOI： 10.1097/CCM.0000000000002673

Source DB:  PubMed          Journal:  Crit Care Med        ISSN： 0090-3493            Impact factor:   7.598


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  10 in total

Review 1.  A Framework for the Development and Interpretation of Different Sepsis Definitions and Clinical Criteria.

Authors:  Derek C Angus; Christopher W Seymour; Craig M Coopersmith; Clifford S Deutschman; Michael Klompas; Mitchell M Levy; Gregory S Martin; Tiffany M Osborn; Chanu Rhee; R Scott Watson
Journal:  Crit Care Med       Date:  2016-03       Impact factor: 7.598

2.  Investigating the Impact of Different Suspicion of Infection Criteria on the Accuracy of Quick Sepsis-Related Organ Failure Assessment, Systemic Inflammatory Response Syndrome, and Early Warning Scores.

Authors:  Matthew M Churpek; Ashley Snyder; Sarah Sokol; Natasha N Pettit; Dana P Edelson
Journal:  Crit Care Med       Date:  2017-11       Impact factor: 7.598

3.  Translating Artificial Intelligence Into Clinical Care.

Authors:  Andrew L Beam; Isaac S Kohane
Journal:  JAMA       Date:  2016-12-13       Impact factor: 56.272

4.  The inevitable application of big data to health care.

Authors:  Travis B Murdoch; Allan S Detsky
Journal:  JAMA       Date:  2013-04-03       Impact factor: 56.272

Review 5.  Toward Smarter Lumping and Smarter Splitting: Rethinking Strategies for Sepsis and Acute Respiratory Distress Syndrome Clinical Trial Design.

Authors:  Hallie C Prescott; Carolyn S Calfee; B Taylor Thompson; Derek C Angus; Vincent X Liu
Journal:  Am J Respir Crit Care Med       Date:  2016-07-15       Impact factor: 21.405

6.  Realizing the Full Potential of Precision Medicine in Health and Health Care.

Authors:  Victor J Dzau; Geoffrey S Ginsburg
Journal:  JAMA       Date:  2016-10-25       Impact factor: 56.272

7.  Unintended Consequences of Machine Learning in Medicine.

Authors:  Federico Cabitza; Raffaele Rasoini; Gian Franco Gensini
Journal:  JAMA       Date:  2017-08-08       Impact factor: 56.272

8.  Machine Learning and Prediction in Medicine - Beyond the Peak of Inflated Expectations.

Authors:  Jonathan H Chen; Steven M Asch
Journal:  N Engl J Med       Date:  2017-06-29       Impact factor: 91.245

9.  Multicenter development and validation of a risk stratification tool for ward patients.

Authors:  Matthew M Churpek; Trevor C Yuen; Christopher Winslow; Ari A Robicsek; David O Meltzer; Robert D Gibbons; Dana P Edelson
Journal:  Am J Respir Crit Care Med       Date:  2014-09-15       Impact factor: 21.405

10.  A randomized trial of real-time automated clinical deterioration alerts sent to a rapid response team.

Authors:  Marin H Kollef; Yixin Chen; Kevin Heard; Gina N LaRossa; Chenyang Lu; Nathan R Martin; Nelda Martin; Scott T Micek; Thomas Bailey
Journal:  J Hosp Med       Date:  2014-04-07       Impact factor: 2.960
  10 in total
  4 in total

1.  Clinical applications of machine learning in the survival prediction and classification of sepsis: coagulation and heparin usage matter.

Authors:  Fei Guo; Xishun Zhu; Zhiheng Wu; Li Zhu; Jianhua Wu; Fan Zhang
Journal:  J Transl Med       Date:  2022-06-11       Impact factor: 8.440

2.  IRIS: A Modular Platform for Continuous Monitoring and Caretaker Notification in the Intensive Care Unit.

Authors:  Steven N Baldassano; Shawniqua Williams Roberson; Ramani Balu; Brittany Scheid; John M Bernabei; Jay Pathmanathan; Brian Oommen; Damien Leri; Javier Echauz; Michael Gelfand; Paulomi Kadakia Bhalla; Chloe E Hill; Amanda Christini; Joost B Wagenaar; Brian Litt
Journal:  IEEE J Biomed Health Inform       Date:  2020-01-13       Impact factor: 5.772

3.  Development and Validation of a Sepsis Mortality Risk Score for Sepsis-3 Patients in Intensive Care Unit.

Authors:  Kai Zhang; Shufang Zhang; Wei Cui; Yucai Hong; Gensheng Zhang; Zhongheng Zhang
Journal:  Front Med (Lausanne)       Date:  2021-01-21

4.  Early Detection of Sepsis With Machine Learning Techniques: A Brief Clinical Perspective.

Authors:  Daniele Roberto Giacobbe; Alessio Signori; Filippo Del Puente; Sara Mora; Luca Carmisciano; Federica Briano; Antonio Vena; Lorenzo Ball; Chiara Robba; Paolo Pelosi; Mauro Giacomini; Matteo Bassetti
Journal:  Front Med (Lausanne)       Date:  2021-02-12
  4 in total

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