Precision medicine
MR Kosorok, EB Laber - Annual review of statistics and its …, 2019 - annualreviews.org
Precision medicine seeks to maximize the quality of health care by individualizing the health-
care process to the uniquely evolving health status of each patient. This endeavor spans a …
care process to the uniquely evolving health status of each patient. This endeavor spans a …
Prospects and challenges for clinical decision support in the era of big data
I El Naqa, MR Kosorok, J Jin, M Mierzwa… - JCO clinical cancer …, 2018 - ascopubs.org
Recently, there has been burgeoning interest in developing more effective and robust
clinical decision support systems (CDSSs) for oncology. This has been primarily driven by …
clinical decision support systems (CDSSs) for oncology. This has been primarily driven by …
[HTML][HTML] Multicategory outcome weighted margin-based learning for estimating individualized treatment rules
Due to heterogeneity for many chronic diseases, precise personalized medicine, also known
as precision medicine, has drawn increasing attentions in the scientific community. One …
as precision medicine, has drawn increasing attentions in the scientific community. One …
Optimal treatment regimes: a review and empirical comparison
Z Li, J Chen, E Laber, F Liu… - International Statistical …, 2023 - Wiley Online Library
A treatment regime is a sequence of decision rules, one per decision point, that maps
accumulated patient information to a recommended intervention. An optimal treatment …
accumulated patient information to a recommended intervention. An optimal treatment …
Efficient learning of optimal individualized treatment rules for heteroscedastic or misspecified treatment-free effect models
W Mo, Y Liu - Journal of the Royal Statistical Society Series B …, 2022 - academic.oup.com
Recent development in data-driven decision science has seen great advances in
individualized decision making. Given data with individual covariates, treatment …
individualized decision making. Given data with individual covariates, treatment …
Kernel assisted learning for personalized dose finding
An individualized dose rule recommends a dose level within a continuous safe dose range
based on patient level information such as physical conditions, genetic factors and …
based on patient level information such as physical conditions, genetic factors and …
Multicategory individualized treatment regime using outcome weighted learning
X Huang, Y Goldberg, J Xu - Biometrics, 2019 - Wiley Online Library
Individualized treatment regimes (ITRs) aim to recommend treatments based on patient‐
specific characteristics in order to maximize the expected clinical outcome. Outcome …
specific characteristics in order to maximize the expected clinical outcome. Outcome …
Non-asymptotic properties of individualized treatment rules from sequentially rule-adaptive trials
Learning optimal individualized treatment rules (ITRs) has become increasingly important in
the modern era of precision medicine. Many statistical and machine learning methods for …
the modern era of precision medicine. Many statistical and machine learning methods for …
Artificial Intelligence-based Decision Support Systems for Precision and Digital Health
N Deliu, B Chakraborty - arXiv preprint arXiv:2407.16062, 2024 - arxiv.org
Precision health, increasingly supported by digital technologies, is a domain of research that
broadens the paradigm of precision medicine, advancing everyday healthcare. This vision …
broadens the paradigm of precision medicine, advancing everyday healthcare. This vision …
Optimal treatment assignment to maximize expected outcome with multiple treatments
When there is substantial heterogeneity of treatment effectiveness, it is crucial to identify
individualized treatment assignment rules for comparative treatment selection. Traditional …
individualized treatment assignment rules for comparative treatment selection. Traditional …