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Recurrent neural networks and attention scores for personalized prediction and interpretation of patient-reported outcomes.

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Title: Recurrent neural networks and attention scores for personalized prediction and interpretation of patient-reported outcomes.
Authors: Hu J; Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA., Kerdabadi MN; Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, KS, USA., Mei X; Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA., Cappelleri J; Biostatistics, Pfizer Inc, New York, NY, USA., Barohn R; Health Affairs, University of Missouri, Columbia, MO, USA., Yao Z; Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, KS, USA.
Source: Journal of biopharmaceutical statistics [J Biopharm Stat] 2025 Aug; Vol. 35 (5), pp. 933-943. Date of Electronic Publication: 2025 Mar 13.
Publication Type: Journal Article; Randomized Controlled Trial; Multicenter Study
Journal Info: Publisher: Taylor & Francis Country of Publication: England NLM ID: 9200436 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1520-5711 (Electronic) Linking ISSN: 10543406 NLM ISO Abbreviation: J Biopharm Stat Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Hu+J%22">Hu J</searchLink>; Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA.<br /><searchLink fieldCode="AU" term="%22Kerdabadi+MN%22">Kerdabadi MN</searchLink>; Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, KS, USA.<br /><searchLink fieldCode="AU" term="%22Mei+X%22">Mei X</searchLink>; Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA.<br /><searchLink fieldCode="AU" term="%22Cappelleri+J%22">Cappelleri J</searchLink>; Biostatistics, Pfizer Inc, New York, NY, USA.<br /><searchLink fieldCode="AU" term="%22Barohn+R%22">Barohn R</searchLink>; Health Affairs, University of Missouri, Columbia, MO, USA.<br /><searchLink fieldCode="AU" term="%22Yao+Z%22">Yao Z</searchLink>; Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, KS, USA.
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  Data: <searchLink fieldCode="JN" term="%229200436%22">Journal of biopharmaceutical statistics</searchLink> [J Biopharm Stat] 2025 Aug; Vol. 35 (5), pp. 933-943. <i>Date of Electronic Publication: </i>2025 Mar 13.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Taylor+%26+Francis%22">Taylor & Francis </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9200436 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1520-5711 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210543406%22">10543406 </searchLink><i>NLM ISO Abbreviation: </i>J Biopharm Stat <i>Subsets: </i>MEDLINE
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        Value: 10.1080/10543406.2025.2469884
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      – Code: eng
        Text: English
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              Text: 2025 Aug
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