[HTML][HTML] A promising approach to optimizing sequential treatment decisions for depression: Markov decision process

F Li, F Jörg, X Li, T Feenstra - Pharmacoeconomics, 2022 - Springer
The most appropriate next step in depression treatment after the initial treatment fails is
unclear. This study explores the suitability of the Markov decision process for optimizing …

Interpretable policies and the price of interpretability in hypertension treatment planning

GGP Garcia, LN Steimle, WJ Marrero… - … & Service Operations …, 2024 - pubsonline.informs.org
Problem definition: Effective hypertension management is critical to reducing the
consequences of atherosclerotic cardiovascular disease, a leading cause of death in the …

Estimating the Relationship Between the Symptom-Free Waiting Period and injury rates after return-to-play from concussion: A simulation analysis using CARE …

GGP Garcia, LL Czerniak, MS Lavieri, SW Liebel… - Sports medicine, 2023 - Springer
Background A key component of return-to-play (RTP) from sport-related concussion is the
symptom-free waiting period (SFWP), ie, the period during which athletes must remain …

Using longitudinal health records to simulate the impact of national treatment guidelines for cardiovascular disease

DF Otero-Leon, W Li, MS Lavieri… - 2021 Winter …, 2021 - ieeexplore.ieee.org
Continuous tracking of patient's health data through electronic health records (EHRs) has
created an opportunity to predict healthcare policies' long-term impacts. Despite the …

Monitoring policy in the context of preventive treatment of cardiovascular disease

DF Otero-Leon, MS Lavieri, BT Denton… - Health Care …, 2023 - Springer
Preventing chronic diseases is an essential aspect of medical care. To prevent chronic
diseases, physicians focus on monitoring their risk factors and prescribing the necessary …

Safe reinforcement learning with contextual information: Theory and application to personalized comorbidity management

J Cao, E Keyvanshokooh, T Liu - Available at SSRN 4583667, 2023 - papers.ssrn.com
Optimizing the treatment regimen is a crucial sequential medical decision-making problem.
Inspired by this problem, we study a sequential decision-making setting of learning a …

[图书][B] Conversas com o ChatGPT sobre Ciência para jovens: A Biologia Molecular!: Descubra os segredos da vida com a ajuda da inteligência artificial

P Dario - 2023 - books.google.com
Este livro surge no seguimento de um conjunto de" conversas" com estas ferramentas,
principalmente com o" chatGPT 4.0" mas também com o" Bard". É sabido que o chatGPT …

[图书][B] ChatGPT talks on science for young people: Genetics!: Discover the secrets of life with the help of artificial intelligence

P Dario - 2023 - books.google.com
This book follows a series of" conversations" with these tools, mainly with" chatGPT 4.0" but
also with" Bard". It's well known that chatGPT is hampered in its research up to a certain …

A simulation model to evaluate the implications of genetic testing in cholesterol treatment plans

WJ Marrero, MS Lavieri… - 2019 Winter Simulation …, 2019 - ieeexplore.ieee.org
Atherosclerotic cardiovascular disease (ASCVD) is among the leading causes of death in
the US. While it is known that ASCVD has familial and genetic components, understanding …

[PDF][PDF] Data-Driven Ranges of Near-Optimal Actions for Finite Markov Decision Processes

WJ Marrero, MS Lavieri, JB Sussman… - Optimization …, 2021 - optimization-online.org
Markov decision process (MDP) models have been used to obtain non-stationary optimal
decision rules in various applications, such as treatment planning in medical decision …