Predicting disease onset from electronic health records for population health management: a scalable and explainable Deep Learning approach.
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| Title: | Predicting disease onset from electronic health records for population health management: a scalable and explainable Deep Learning approach. |
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| Authors: | Grout R; Accenture, Leeds, United Kingdom., Gupta R; Accenture, San Francisco, CA, United States., Bryant R; Accenture, London, United Kingdom., Elmahgoub MA; Accenture, London, United Kingdom., Li Y; Accenture, London, United Kingdom., Irfanullah K; Accenture, London, United Kingdom., Patel RF; Accenture, London, United Kingdom., Fawkes J; Department of Statistics, University of Oxford, Oxford, United Kingdom., Inness C; Accenture, London, United Kingdom. |
| Source: | Frontiers in artificial intelligence [Front Artif Intell] 2024 Jan 08; Vol. 6, pp. 1287541. Date of Electronic Publication: 2024 Jan 08 (Print Publication: 2023). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Media SA Country of Publication: Switzerland NLM ID: 101770551 Publication Model: eCollection Cited Medium: Internet ISSN: 2624-8212 (Electronic) Linking ISSN: 26248212 NLM ISO Abbreviation: Front Artif Intell Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2624-8212 |
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| DOI: | 10.3389/frai.2023.1287541 |
