Literature DB >> 26901551

Keeping Score of Severity Scores: Taking the Next Step.

Vincent Liu1.   

Abstract

Entities:  

Mesh：

Year:  2016        PMID： 26901551      PMCID： PMC4768296          DOI： 10.1097/CCM.0000000000001501

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


× No keyword cloud information.
  15 in total

1.  Assessing contemporary intensive care unit outcome: an updated Mortality Probability Admission Model (MPM0-III).

Authors:  Thomas L Higgins; Daniel Teres; Wayne S Copes; Brian H Nathanson; Maureen Stark; Andrew A Kramer
Journal:  Crit Care Med       Date:  2007-03       Impact factor: 7.598

2.  Variation in ICU risk-adjusted mortality: impact of methods of assessment and potential confounders.

Authors:  Michael W Kuzniewicz; Eduard E Vasilevskis; Rondall Lane; Mitzi L Dean; Nisha G Trivedi; Deborah J Rennie; Ted Clay; Pamela L Kotler; R Adams Dudley
Journal:  Chest       Date:  2008-04-10       Impact factor: 9.410

3.  Severity Scores in Emergency Department Patients With Presumed Infection: A Prospective Validation Study.

Authors:  Julian M Williams; Jaimi H Greenslade; Kevin Chu; Anthony F T Brown; Jeffrey Lipman
Journal:  Crit Care Med       Date:  2016-03       Impact factor: 7.598

4.  Early detection of impending physiologic deterioration among patients who are not in intensive care: development of predictive models using data from an automated electronic medical record.

Authors:  Gabriel J Escobar; Juan Carlos LaGuardia; Benjamin J Turk; Arona Ragins; Patricia Kipnis; David Draper
Journal:  J Hosp Med       Date:  2012-03-22       Impact factor: 2.960

5.  An electronic Simplified Acute Physiology Score-based risk adjustment score for critical illness in an integrated healthcare system.

Authors:  Vincent Liu; Benjamin J Turk; Arona I Ragins; Patricia Kipnis; Gabriel J Escobar
Journal:  Crit Care Med       Date:  2013-01       Impact factor: 7.598

6.  A new risk prediction model for critical care: the Intensive Care National Audit & Research Centre (ICNARC) model.

Authors:  David A Harrison; Gareth J Parry; James R Carpenter; Alasdair Short; Kathy Rowan
Journal:  Crit Care Med       Date:  2007-04       Impact factor: 7.598

Review 7.  Clinical review: scoring systems in the critically ill.

Authors:  Jean-Louis Vincent; Rui Moreno
Journal:  Crit Care       Date:  2010-03-26       Impact factor: 9.097

8.  Acute Physiology and Chronic Health Evaluation (APACHE) IV: hospital mortality assessment for today's critically ill patients.

Authors:  Jack E Zimmerman; Andrew A Kramer; Douglas S McNair; Fern M Malila
Journal:  Crit Care Med       Date:  2006-05       Impact factor: 7.598

9.  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.  SAPS 3--From evaluation of the patient to evaluation of the intensive care unit. Part 2: Development of a prognostic model for hospital mortality at ICU admission.

Authors:  Rui P Moreno; Philipp G H Metnitz; Eduardo Almeida; Barbara Jordan; Peter Bauer; Ricardo Abizanda Campos; Gaetano Iapichino; David Edbrooke; Maurizia Capuzzo; Jean-Roger Le Gall
Journal:  Intensive Care Med       Date:  2005-08-17       Impact factor: 17.440
View more
  2 in total

1.  Toward the "Plateau of Productivity": Enhancing the Value of Machine Learning in Critical Care.

Authors:  Vincent X Liu
Journal:  Crit Care Med       Date:  2018-07       Impact factor: 7.598

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
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.