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Extracting Medical Information From Free-Text and Unstructured Patient-Generated Health Data Using Natural Language Processing Methods: Feasibility Study With Real-world Data.

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Title: Extracting Medical Information From Free-Text and Unstructured Patient-Generated Health Data Using Natural Language Processing Methods: Feasibility Study With Real-world Data.
Authors: Sezgin, Emre1,2, emre.sezgin@nationwidechildrens.org, Hussain, Syed-Amad1, Rust, Steve1, Huang, Yungui1
Source: JMIR Formative Research; 2023, Vol. 7 Issue 1, p1-10, 10p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 183356683
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PubType: Academic Journal
PubTypeId: academicJournal
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        Value: 10.2196/43014
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      – Code: eng
        Text: English
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      – TitleFull: Extracting Medical Information From Free-Text and Unstructured Patient-Generated Health Data Using Natural Language Processing Methods: Feasibility Study With Real-world Data.
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            NameFull: Hussain, Syed-Amad
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              Text: 2023
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