ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2017
Combining Kernel and Model Based Learning for HIV Therapy Selection.
Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- Modeling NRTIs and PIs class drug therapy on the dynamics of HIV infection with real patient data analysis and optimized control strategy.Scientific reports · 2026Article
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- Personalized decision making for coronary artery disease treatment using offline reinforcement learning.NPJ digital medicine · 2025Article
- Evolution of Artificial Intelligence in Medical Education From 2000 to 2024: Bibliometric Analysis.Interactive journal of medical research · 2025Article
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- Enriching Data Science and Health Care Education: Application and Impact of Synthetic Data Sets Through the Health Gym Project.JMIR medical education · 2024Article
- Where do doctors disagree? Characterizing Decision Points for Safe Reinforcement Learning in Choosing Vasopressor Treatment.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024Article
- Federated Offline Reinforcement Learning.Journal of the American Statistical Association · 2024Article
- Cohort Profile: A European Multidisciplinary Network for the Fight against HIV Drug Resistance (EuResist Network).Tropical medicine and infectious disease · 2023Article
- Continuous-Time Decision Transformer for Healthcare Applications.Proceedings of machine learning research · 2023Article
- Towards more efficient and robust evaluation of sepsis treatment with deep reinforcement learning.BMC medical informatics and decision making · 2023Article
- Multi-source Learning via Completion of Block-wise Overlapping Noisy Matrices.Journal of machine learning research : JMLR · 2023Article
- The Health Gym: synthetic health-related datasets for the development of reinforcement learning algorithms.Scientific data · 2022Article
- Optimizing the dynamic treatment regime of in-hospital warfarin anticoagulation in patients after surgical valve replacement using reinforcement learning.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care.NPJ digital medicine · 2021Article
- Reinforcement Learning in Neurocritical and Neurosurgical Care: Principles and Possible Applications.Computational and mathematical methods in medicine · 2021Review
- Is Deep Reinforcement Learning Ready for Practical Applications in Healthcare? A Sensitivity Analysis of Duel-DDQN for Hemodynamic Management in Sepsis Patients.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2020Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We present a mixture-of-experts approach for HIV therapy selection. The heterogeneity in patient data makes it difficult for one particular model to succeed at providing suitable therapy predictions for all patients. An appropriate means for addressing this heterogeneity is through combining kernel and model-based techniques. These methods capture different kinds of information: kernel-based methods are able to identify clusters of similar patients, and work well when modelling the viral response for these groups. In contrast, model-based methods capture the sequential process of decision making, and are able to find simpler, yet accurate patterns in response for patients outside these groups. We take advantage of this information by proposing a mixture-of-experts model that automatically selects between the methods in order to assign the most appropriate therapy choice to an individual. Overall, we verify that therapy combinations proposed using this approach significantly outperform previous methods.
Identifiers
28815137PMC5543338What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.