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

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Bibliographic Details
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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ISSN:1520-5711
DOI:10.1080/10543406.2025.2469884