Nina Deliu
Biographic Data
| ID | 6062803 |
|---|---|
| NAME | Nina Deliu |
| GIVEN NAMES | Nina |
| FAMILY NAME | Deliu |
| SIGNATURE | DELIU N |
| AFFILIATIONS | Xueqing Liu is with the Centre for Quantitative Medicine, Duke-National University of Singapore (NUS) Medical School, Singapore. Nina Deliu is with the Medical Research Council Biostatistics Unit, University of Cambridge, UK, and the Department of Methods and Models for Economics, Territory and Finance, Sapienza University of Rome, Italy. Bibhas Chakraborty is with the Centre for Quantitative Medicine and Program in Health Services and Systems Research, Duke-NUS Medical School, Singapore; the Department... |
| ORCID | 0000-0003-2501-8795 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Reinforcement learning for sequential decision making in population research
Reinforcement learning (RL) algorithms have been long recognized as powerful tools for optimal sequential decision making. The framework is concerned with a decision maker, the agent, that learns how to behave in an unknown environment by making decisions and seeing their associated outcome. The goal of the RL agent is to infer, through repeated experience, an optimal decision-making policy, i.e., a sequence of action rules that would lead to the…
Microrandomized Trials
Just-in-time adaptive interventions (JITAIs) represent an intervention design that adapts the provision and type of support over time to an individual’s changing status and contexts, intending to deliver the right support on the right occasion. As a novel strategy for delivering mobile health interventions, JITAIs have the potential to improve access to quality care in underserved communities and, thus, alleviate health disparities, a significant…
Modeling strategies to improve parameter estimates in prognostic factors analyses with patient-reported outcomes in oncology
No prominent works on this page.
Modeling strategies to improve parameter estimates in prognostic factors analyses with patient-reported outcomes in oncology
Microrandomized Trials
Just-in-time adaptive interventions (JITAIs) represent an intervention design that adapts the provision and type of support over time to an individual’s changing status and contexts, intending to deliver the right support on the right occasion. As a novel strategy for delivering mobile health interventions, JITAIs have the potential to improve access to quality care in underserved communities and, thus, alleviate health disparities, a significant…
Reinforcement learning for sequential decision making in population research
Reinforcement learning (RL) algorithms have been long recognized as powerful tools for optimal sequential decision making. The framework is concerned with a decision maker, the agent, that learns how to behave in an unknown environment by making decisions and seeing their associated outcome. The goal of the RL agent is to infer, through repeated experience, an optimal decision-making policy, i.e., a sequence of action rules that would lead to the…
Medicine (2 works) · Action (physics) (1 work) · Akaike information criterion (1 work) · Applied Psychology (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Clinical study design (1 work) · Clinical trial (1 work) · Colorectal Cancer Screening and Detection (1 work) · Computer Science (1 work)