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Text mining of electronic health records can validate a register-based diagnosis of epilepsy and subgroup into focal and generalized epilepsy.

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Title: Text mining of electronic health records can validate a register-based diagnosis of epilepsy and subgroup into focal and generalized epilepsy.
Authors: Vulpius SA; Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark., Werge S; Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark., Jørgensen IF; Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark., Siggaard T; Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark., Hernansanz Biel J; Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark., Knudsen GM; Epilepsy Clinic and Neurobiology Research Unit, University Hospital Rigshospitalet, Copenhagen, Denmark.; Institute for Clinical Medicine, Faculty of Health and Medicine, University of Copenhagen, Copenhagen, Denmark., Brunak S; Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark., Pinborg LH; Epilepsy Clinic and Neurobiology Research Unit, University Hospital Rigshospitalet, Copenhagen, Denmark.; Institute for Clinical Medicine, Faculty of Health and Medicine, University of Copenhagen, Copenhagen, Denmark.
Source: Epilepsia [Epilepsia] 2023 Oct; Vol. 64 (10), pp. 2750-2760. Date of Electronic Publication: 2023 Aug 19.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Blackwell Science Country of Publication: United States NLM ID: 2983306R Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1528-1167 (Electronic) Linking ISSN: 00139580 NLM ISO Abbreviation: Epilepsia Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Text mining of electronic health records can validate a register-based diagnosis of epilepsy and subgroup into focal and generalized epilepsy.
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  Data: <searchLink fieldCode="AU" term="%22Vulpius+SA%22">Vulpius SA</searchLink>; Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Werge+S%22">Werge S</searchLink>; Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Jørgensen+IF%22">Jørgensen IF</searchLink>; Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Siggaard+T%22">Siggaard T</searchLink>; Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Hernansanz+Biel+J%22">Hernansanz Biel J</searchLink>; Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Knudsen+GM%22">Knudsen GM</searchLink>; Epilepsy Clinic and Neurobiology Research Unit, University Hospital Rigshospitalet, Copenhagen, Denmark.; Institute for Clinical Medicine, Faculty of Health and Medicine, University of Copenhagen, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Brunak+S%22">Brunak S</searchLink>; Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Pinborg+LH%22">Pinborg LH</searchLink>; Epilepsy Clinic and Neurobiology Research Unit, University Hospital Rigshospitalet, Copenhagen, Denmark.; Institute for Clinical Medicine, Faculty of Health and Medicine, University of Copenhagen, Copenhagen, Denmark.
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  Data: <searchLink fieldCode="JN" term="%222983306R%22">Epilepsia</searchLink> [Epilepsia] 2023 Oct; Vol. 64 (10), pp. 2750-2760. <i>Date of Electronic Publication: </i>2023 Aug 19.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Blackwell+Science%22">Blackwell Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>2983306R <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1528-1167 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200139580%22">00139580 </searchLink><i>NLM ISO Abbreviation: </i>Epilepsia <i>Subsets: </i>MEDLINE
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      – Type: doi
        Value: 10.1111/epi.17734
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        Text: English
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      – TitleFull: Text mining of electronic health records can validate a register-based diagnosis of epilepsy and subgroup into focal and generalized epilepsy.
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            – D: 01
              M: 10
              Text: 2023 Oct
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              Y: 2023
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