Optimizing long term disease prevention with reinforcement learning: a framework for precision lipid control.
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| Title: | Optimizing long term disease prevention with reinforcement learning: a framework for precision lipid control. |
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| Authors: | Zhou Y; Department of Computer Science, School of Computing and Data Science, The University of Hong Kong, Hong Kong SAR, China.; Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong SAR, China.; Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China., Luo R; Department of Computer Science, School of Computing and Data Science, The University of Hong Kong, Hong Kong SAR, China. rbluo@cs.hku.hk.; Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong SAR, China. rbluo@cs.hku.hk.; Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China. rbluo@cs.hku.hk., Blais JE; Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China., Tan KCB; Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China., Lui DTW; Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong SAR, China., Yiu KH; Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong SAR, China., Lai FTT; Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong SAR, China.; Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China.; Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.; Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China., Wan EYF; Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong SAR, China.; Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China.; Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.; Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China., Cheung CL; Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong SAR, China.; Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China.; Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.; Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts, USA., Wong IC; Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong SAR, China.; Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China.; Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.; Aston Pharmacy School, Aston University, Birmingham, UK., Chui CS; Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong SAR, China. cslchui@hku.hk.; Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China. cslchui@hku.hk.; School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China. cslchui@hku.hk. |
| Source: | NPJ digital medicine [NPJ Digit Med] 2025 Aug 27; Vol. 8 (1), pp. 553. Date of Electronic Publication: 2025 Aug 27. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101731738 Publication Model: Electronic Cited Medium: Internet ISSN: 2398-6352 (Electronic) Linking ISSN: 23986352 NLM ISO Abbreviation: NPJ Digit Med Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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