Development and validation of a model predicting mild stroke severity on admission using electronic health record data.
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| Title: | Development and validation of a model predicting mild stroke severity on admission using electronic health record data. |
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| Authors: | Waddell KJ; VA Center for Health Equity Research and Promotion (CHERP), Crescenz VA Medical Center; Philadelphia, PA, USA; Department of Physical Medicine and Rehabilitation, Perelman School of Medicine, University of Pennsylvania; Philadelphia, PA, USA; Leonard Davis Institute for Health Economics, University of Pennsylvania; Philadelphia, PA, USA. Electronic address: Kimberly.Waddell@pennmedicine.upenn.edu., Myers LJ; VA HSR&D Center for Health Information and Communication (CHIC), Richard L. Roudebush VA Medical Center; Indianapolis, IN, USA; Department of Medicine, Indiana University School of Medicine; Indianapolis, IN, USA; Department of Veterans Affairs (VA) Health Services Research and Development (HSR&D) Expanding Expertise Through E-health Network Development (EXTEND) Quality Enhancement Research Initiative (QUERI), Indianapolis, IN, USA; Regenstrief Institute; Indianapolis, IN, USA., Perkins AJ; VA HSR&D Center for Health Information and Communication (CHIC), Richard L. Roudebush VA Medical Center; Indianapolis, IN, USA; Department of Veterans Affairs (VA) Health Services Research and Development (HSR&D) Expanding Expertise Through E-health Network Development (EXTEND) Quality Enhancement Research Initiative (QUERI), Indianapolis, IN, USA; Department of Biostatistics and Health Data Science, Indiana University School of Medicine & Fairbanks School of Public Health, Indianapolis, IN, USA., Sico JJ; Neurology Service, VA Connecticut Healthcare System; West Haven, CT, USA; Departments of Neurology and Internal Medicine, Yale School of Medicine; New Haven, CT, USA; Pain Research, Informatics, and Multi-morbidities, and Education (PRIME) Center, VA Connecticut Healthcare System; West Haven, CT, USA., Sexson A; VA HSR&D Center for Health Information and Communication (CHIC), Richard L. Roudebush VA Medical Center; Indianapolis, IN, USA., Burrone L; Pain Research, Informatics, and Multi-morbidities, and Education (PRIME) Center, VA Connecticut Healthcare System; West Haven, CT, USA., Taylor S; VA HSR&D Center for Health Information and Communication (CHIC), Richard L. Roudebush VA Medical Center; Indianapolis, IN, USA; Department of Veterans Affairs (VA) Health Services Research and Development (HSR&D) Expanding Expertise Through E-health Network Development (EXTEND) Quality Enhancement Research Initiative (QUERI), Indianapolis, IN, USA., Koo B; Neurology Service, VA Connecticut Healthcare System; West Haven, CT, USA; Departments of Neurology and Internal Medicine, Yale School of Medicine; New Haven, CT, USA; Pain Research, Informatics, and Multi-morbidities, and Education (PRIME) Center, VA Connecticut Healthcare System; West Haven, CT, USA., Daggy JK; VA HSR&D Center for Health Information and Communication (CHIC), Richard L. Roudebush VA Medical Center; Indianapolis, IN, USA; Department of Veterans Affairs (VA) Health Services Research and Development (HSR&D) Expanding Expertise Through E-health Network Development (EXTEND) Quality Enhancement Research Initiative (QUERI), Indianapolis, IN, USA; Department of Biostatistics and Health Data Science, Indiana University School of Medicine & Fairbanks School of Public Health, Indianapolis, IN, USA., Bravata DM; VA HSR&D Center for Health Information and Communication (CHIC), Richard L. Roudebush VA Medical Center; Indianapolis, IN, USA; Department of Medicine, Indiana University School of Medicine; Indianapolis, IN, USA; Department of Veterans Affairs (VA) Health Services Research and Development (HSR&D) Expanding Expertise Through E-health Network Development (EXTEND) Quality Enhancement Research Initiative (QUERI), Indianapolis, IN, USA; Department of Neurology, Indiana University School of Medicine; Indianapolis, IN, USA; Regenstrief Institute; Indianapolis, IN, USA. |
| Source: | Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association [J Stroke Cerebrovasc Dis] 2023 Sep; Vol. 32 (9), pp. 107255. Date of Electronic Publication: 2023 Jul 18. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Saunders Country of Publication: United States NLM ID: 9111633 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-8511 (Electronic) Linking ISSN: 10523057 NLM ISO Abbreviation: J Stroke Cerebrovasc Dis Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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