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 …

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 …

[HTML][HTML] Multicategory outcome weighted margin-based learning for estimating individualized treatment rules

C Zhang, J Chen, H Fu, X He, YQ Zhao, Y Liu - Statistica sinica, 2020 - ncbi.nlm.nih.gov
Due to heterogeneity for many chronic diseases, precise personalized medicine, also known
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 …

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 …

Kernel assisted learning for personalized dose finding

L Zhu, W Lu, MR Kosorok, R Song - Proceedings of the 26th acm sigkdd …, 2020 - dl.acm.org
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 …

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 …

Non-asymptotic properties of individualized treatment rules from sequentially rule-adaptive trials

D Gao, Y Liu, D Zeng - Journal of Machine Learning Research, 2022 - jmlr.org
Learning optimal individualized treatment rules (ITRs) has become increasingly important in
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 …

Optimal treatment assignment to maximize expected outcome with multiple treatments

Z Lou, J Shao, M Yu - Biometrics, 2018 - academic.oup.com
When there is substantial heterogeneity of treatment effectiveness, it is crucial to identify
individualized treatment assignment rules for comparative treatment selection. Traditional …