Your browser doesn't support javascript.
loading
Identifying Modifiable Predictors of Patient Outcomes After Intracerebral Hemorrhage with Machine Learning.
Hall, Andrew N; Weaver, Bradley; Liotta, Eric; Maas, Matthew B; Faigle, Roland; Mroczek, Daniel K; Naidech, Andrew M.
Affiliation
  • Hall AN; Department of Psychology, Weinberg College of Arts and Sciences, Northwestern University, Evanston, IL, USA. andrewhall@u.northwestern.edu.
  • Weaver B; Institute for Public Health and Medicine, Northwestern University Chicago, Chicago, IL, USA.
  • Liotta E; Institute for Public Health and Medicine, Northwestern University Chicago, Chicago, IL, USA.
  • Maas MB; Institute for Public Health and Medicine, Northwestern University Chicago, Chicago, IL, USA.
  • Faigle R; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Mroczek DK; Department of Psychology, Weinberg College of Arts and Sciences, Northwestern University, Evanston, IL, USA.
  • Naidech AM; Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Neurocrit Care ; 34(1): 73-84, 2021 02.
Article in En | MEDLINE | ID: mdl-32385834
Subject(s)
Key words
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cerebral Hemorrhage / Hematoma Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Neurocrit Care Journal subject: NEUROLOGIA / TERAPIA INTENSIVA Year: 2021 Type: Article Affiliation country: United States
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cerebral Hemorrhage / Hematoma Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Neurocrit Care Journal subject: NEUROLOGIA / TERAPIA INTENSIVA Year: 2021 Type: Article Affiliation country: United States