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In the hospital setting, a small percentage of recurrent frequent patients contribute to a disproportional amount of healthcare resource usage. Moreover, in many of these cases, patient outcomes can be greatly improved by reducing…

Machine Learning · Statistics 2022-11-23 Luoluo Liu , Eran Simhon , Chaitanya Kulkarni , David Noren , Ronny Mans

Digital Adherence Technologies (DATs) are an increasingly popular method for verifying patient adherence to many medications. We analyze data from one city served by 99DOTS, a phone-call-based DAT deployed for Tuberculosis (TB) treatment in…

Machine Learning · Computer Science 2020-01-03 Jackson A. Killian , Bryan Wilder , Amit Sharma , Daksha Shah , Vinod Choudhary , Bistra Dilkina , Milind Tambe

A pharmacological effect of a drug on cells, organs and systems refers to the specific biochemical interaction produced by a drug substance, which is called its mechanism of action. Drug repositioning (or drug repurposing) is a fundamental…

Machine Learning · Computer Science 2020-05-19 Dehua Chen , Amir Jalilifard , Adriano Veloso , Nivio Ziviani

Post-secondary education persistence is the likelihood of a student remaining in post-secondary education. Although statistics show that post-secondary persistence for deaf students has increased recently, there are still many obstacles…

Computers and Society · Computer Science 2020-06-24 Marie Alaghband , Ivan Garibay

Language models deployed in high-stakes professional settings face conflicting demands from users, institutional authorities, and professional norms. How models act when these demands conflict reveals a principal hierarchy -- an implicit…

Artificial Intelligence · Computer Science 2026-05-13 Fangyi Yu , Nabeel Seedat , Jonathan Richard Schwarz , Andrew M. Bean

Our research is concerned with studying behavioural changes within a dynamic system, i.e. health care, and their effects on the decision-making process. Evolutionary Game theory is applied to investigate the most probable strategy(ies)…

Computer Science and Game Theory · Computer Science 2019-09-10 Zainab Alalawi , Yifeng Zeng , The Anh Han , Aiman Elragig

Background: Shared decision-making (SDM) aims to empower patients to take an active role in their treatment choices, supported by clinicians and patient decision aids (PDAs). The purpose of this study is to explore barriers and possible…

Many patients with chronic diseases resort to multiple medications to relieve various symptoms, which raises concerns about the safety of multiple medication use, as severe drug-drug antagonism can lead to serious adverse effects or even…

Machine Learning · Computer Science 2023-03-07 Tian Bian , Yuli Jiang , Jia Li , Tingyang Xu , Yu Rong , Yi Su , Timothy Kwok , Helen Meng , Hong Cheng

Patient-provider communication is an important aspect of successful healthcare, as it can directly lead to positive health outcomes. Previous studies examined factors that facilitate communication between healthcare providers and patients…

Human-Computer Interaction · Computer Science 2026-02-17 Zhanming Chen , Alisha Ghaju , May Hang , Juan F. Maestre , Ji Youn Shin

Drug shortages occur frequently and are often caused by supply chain disruptions. For improvements to occur, it is necessary to be able to estimate the vulnerability of pharmaceutical supply chains. In this work, we present the first model…

Optimization and Control · Mathematics 2022-04-26 Emily L. Tucker , Mark S. Daskin

This study investigates the impact of masking strategies on time series imputation models in healthcare settings. While current approaches predominantly rely on random masking for model evaluation, this practice fails to capture the…

Machine Learning · Computer Science 2025-02-05 Linglong Qian , Yiyuan Yang , Wenjie Du , Jun Wang , Richard Dobsoni , Zina Ibrahim

Clinical trials shape medical evidence and determine who gains access to experimental therapies. Whether participation in these trials reflects the global burden of disease remains unclear. Here we analyze participation inequality across…

General Economics · Economics 2026-02-10 Wen Lou , Adrián A. Díaz-Faes , Jiangen He , Zhihao Liu , Vincent Larivière

The intermittent intake of treatment is commonly seen in patients with chronic disease. For example, patients with atrial fibrillation may need to discontinue the oral anticoagulants when they experience a certain surgery and re-initiate…

Methodology · Statistics 2024-01-30 Guanbo Wang , Siyi Liu , Shu Yang

The paper shows that matching without replacement on propensity scores produces estimators that generally are inconsistent for the average treatment effect of the treated. To achieve consistency, practitioners must either assume that no…

Econometrics · Economics 2021-06-21 Fredrik Sävje

Medical residency training is often associated with physically intense and emotionally demanding tasks, requiring them to engage in extended working hours providing complex clinical care. Residents are hence susceptible to negative…

Computers and Society · Computer Science 2024-02-15 Tiantian Feng , Shrikanth Narayanan

More than one million people commit suicide every year worldwide. The costs of daily cares, social stigma and treatment issues are still hard barriers to overcome in mental health. Most symptoms of mental disorders are related to the…

Heart Disease has become one of the most serious diseases that has a significant impact on human life. It has emerged as one of the leading causes of mortality among the people across the globe during the last decade. In order to prevent…

Machine Learning · Computer Science 2022-06-08 Muhammad Salman Pathan , Avishek Nag , Muhammad Mohisn Pathan , Soumyabrata Dev

Many marketing applications, including credit card incentive programs, offer rewards to customers who exceed specific spending thresholds to encourage increased consumption. Quantifying the causal effect of these thresholds on customers is…

Methodology · Statistics 2026-01-19 Kohsuke Kubota , Shonosuke Sugasawa

Doctors use statistics to advance medical knowledge; we use a medical analogy to introduce statistical inference "from scratch" and to highlight an improvement. Your doctor, perhaps implicitly, predicts the effectiveness of a treatment for…

Methodology · Statistics 2015-11-29 Keli Liu , Xiao-Li Meng

Mobile health studies can leverage longitudinal sensor data from smartphones to guide the application of personalized medical interventions. In this paper, we propose that adoption of an instrumental variable approach for randomized trials…