Articles with "individualized treatment" as a keyword



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Longitudinal self-learning of individualized treatment rules in a nutrient supplementation trial with missing data.

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Published in 2023 at "Statistics in medicine"

DOI: 10.1002/sim.9766

Abstract: Longitudinal outcomes are prevalent in clinical studies, where the presence of missing data may make the statistical learning of individualized treatment rules (ITRs) a much more challenging task. We analyzed a longitudinal calcium supplementation trial… read more here.

Keywords: supplementation; learning individualized; individualized treatment; self learning ... See more keywords
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The role of electroanatomical mapping in individualized treatment of paroxysmal atrial fibrillation.

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Published in 2018 at "International journal of cardiology"

DOI: 10.1016/j.ijcard.2018.01.143

Abstract: Article history: Received 21 January 2018 Received in revised form 26 January 2018 Accepted 31 January 2018 in PAF patients. In consequence, the presence of LVA predicted the recurrence of AF after PVI also in… read more here.

Keywords: individualized treatment; treatment paroxysmal; electroanatomical mapping; role electroanatomical ... See more keywords
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Deep representation learning for individualized treatment effect estimation using electronic health records

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Published in 2019 at "Journal of biomedical informatics"

DOI: 10.1016/j.jbi.2019.103303

Abstract: Utilizing clinical observational data to estimate individualized treatment effects (ITE) is a challenging task, as confounding inevitably exists in clinical data. Most of the existing models for ITE estimation tackle this problem by creating unbiased… read more here.

Keywords: individualized treatment; estimation; treatment; electronic health ... See more keywords
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Residual Weighted Learning for Estimating Individualized Treatment Rules

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Published in 2017 at "Journal of the American Statistical Association"

DOI: 10.1080/01621459.2015.1093947

Abstract: ABSTRACT Personalized medicine has received increasing attention among statisticians, computer scientists, and clinical practitioners. A major component of personalized medicine is the estimation of individualized treatment rules (ITRs). Recently, Zhao et al. proposed outcome weighted… read more here.

Keywords: individualized treatment; medicine; treatment rules; treatment ... See more keywords
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Learning Optimal Distributionally Robust Individualized Treatment Rules

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Published in 2021 at "Journal of the American Statistical Association"

DOI: 10.1080/01621459.2020.1796359

Abstract: Abstract Recent development in the data-driven decision science has seen great advances in individualized decision making. Given data with individual covariates, treatment assignments and outcomes, policy makers best individualized treatment rule (ITR) that maximizes the… read more here.

Keywords: individualized treatment; training testing; itr; treatment ... See more keywords
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Comment: Individualized Treatment Rules Under Endogeneity

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Published in 2020 at "Journal of the American Statistical Association"

DOI: 10.1080/01621459.2020.1831923

Abstract: This note discusses two recent studies on identification of individualized treatment rules using instrumental variables---Cui and Tchetgen Tchetgen (2020) and Qiu et al. (2020). It also proposes identifying assumptions that are alternative to what is… read more here.

Keywords: individualized treatment; comment individualized; rules endogeneity; treatment rules ... See more keywords
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Robust outcome weighted learning for optimal individualized treatment rules

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Published in 2019 at "Journal of Biopharmaceutical Statistics"

DOI: 10.1080/10543406.2019.1633657

Abstract: ABSTRACT Personalized medicine has received increasing attentions among scientific communities in recent years. Because patients often have heterogenous responses to treatments, discovering individualized treatment rules (ITR) is an important component of precision medicine. To that… read more here.

Keywords: individualized treatment; medicine; treatment rules; treatment ... See more keywords
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Multiple Domain and Multiple Kernel Outcome-Weighted Learning for Estimating Individualized Treatment Regimes

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Published in 2022 at "Journal of Computational and Graphical Statistics"

DOI: 10.1080/10618600.2022.2067552

Abstract: Abstract Individualized treatment rules (ITRs) recommend treatments that are tailored specifically according to each patient’s own characteristics. It can be challenging to estimate optimal ITRs when there are many features, especially when these features have… read more here.

Keywords: individualized treatment; outcome weighted; optimal itrs; weighted learning ... See more keywords
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Incorporating Patient Preferences into Estimation of Optimal Individualized Treatment Rules.

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Published in 2018 at "Biometrics"

DOI: 10.1111/biom.12743

Abstract: Precision medicine seeks to provide treatment only if, when, to whom, and at the dose it is needed. Thus, precision medicine is a vehicle by which healthcare can be made both more effective and efficient.… read more here.

Keywords: individualized treatment; medicine; optimal individualized; treatment rules ... See more keywords
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Multi-category individualized treatment regime using outcome weighted learning.

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Published in 2019 at "Biometrics"

DOI: 10.1111/biom.13084

Abstract: Individualized treatment regimes (ITRs) aim to recommend treatments based on patient-specific characteristics in order to maximize the expected clinical outcome. Outcome weighted learning approaches have been proposed for this optimization problem with primary focus on… read more here.

Keywords: individualized treatment; outcome; treatment; outcome weighted ... See more keywords
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Estimating Individualized Treatment Regimes from Crossover Designs

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Published in 2019 at "Biometrics"

DOI: 10.1111/biom.13186

Abstract: The field of precision medicine aims to tailor treatment based on patient-specific factors in a reproducible way. To this end, estimating an optimal individualized treatment regime (ITR) that recommends treatment decisions based on patient characteristics… read more here.

Keywords: individualized treatment; medicine; treatment; estimating individualized ... See more keywords