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Predicting post-stroke cognitive impairment using electronic health record data.

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Title: Predicting post-stroke cognitive impairment using electronic health record data.
Authors: Ashburner JM; Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA.; Harvard Medical School, Boston, MA, USA., Chang Y; Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA.; Harvard Medical School, Boston, MA, USA., Porneala B; Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA., Singh SD; McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA., Yechoor N; McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA., Rosand JM; McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA., Singer DE; Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA.; Harvard Medical School, Boston, MA, USA., Anderson CD; McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA.; Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA., Atlas SJ; Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA.; Harvard Medical School, Boston, MA, USA.
Source: International journal of stroke : official journal of the International Stroke Society [Int J Stroke] 2024 Oct; Vol. 19 (8), pp. 898-906. Date of Electronic Publication: 2024 Apr 18.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
Journal Info: Publisher: SAGE Publications Country of Publication: United States NLM ID: 101274068 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1747-4949 (Electronic) Linking ISSN: 17474930 NLM ISO Abbreviation: Int J Stroke Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:1747-4949
DOI:10.1177/17474930241246156