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DDxNet: a deep learning model for automatic interpretation of electronic health records, electrocardiograms and electroencephalograms.
Thiagarajan, Jayaraman J; Rajan, Deepta; Katoch, Sameeksha; Spanias, Andreas.
Affiliation
  • Thiagarajan JJ; Lawrence Livermore National Labs, Livermore, 94550, USA. jjayaram@llnl.gov.
  • Rajan D; IBM Research AI, San Jose, 95035, USA.
  • Katoch S; SenSIP Center, Arizona State University, Tempe, 85281, USA.
  • Spanias A; SenSIP Center, Arizona State University, Tempe, 85281, USA.
Sci Rep ; 10(1): 16428, 2020 10 02.
Article in En | MEDLINE | ID: mdl-33009423
Subject(s)
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Electrocardiography / Electroencephalography / Electronic Health Records / Deep Learning / Patient Care Type of study: Guideline / Prognostic_studies Limits: Humans Language: En Journal: Sci Rep Year: 2020 Document type: Article Affiliation country: United States Country of publication: United kingdom
Fulltext
Add to My VHL
Print
XML
PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Electrocardiography / Electroencephalography / Electronic Health Records / Deep Learning / Patient Care Type of study: Guideline / Prognostic_studies Limits: Humans Language: En Journal: Sci Rep Year: 2020 Document type: Article Affiliation country: United States Country of publication: United kingdom