English
Related papers

Related papers: Predicting Injectable Medication Adherence via a S…

200 papers

Adherence can be defined as "the extent to which patients take their medications as prescribed by their healthcare providers"[Osterberg and Blaschke, 2005]. World Health Organization's reports point out that, in developed countries, only…

Machine Learning · Computer Science 2018-11-30 Thomas Janssoone , Clémence Bic , Dorra Kanoun , Pierre Hornus , Pierre Rinder

Long-term adherence to medication is a critical factor in preventing chronic diseases, such as cardiovascular disease. To address poor adherence, physicians may recommend adherence-improving interventions; however, such interventions are…

Optimization and Control · Mathematics 2026-02-24 Daniel Otero-Leon , Mariel Lavieri , Brian Denton , Jeremy Sussman , Rodney Hayward

Non-adherence to medications is a critical concern since nearly half of patients with chronic illnesses do not follow their prescribed medication regimens, leading to increased mortality, costs, and preventable human distress. Amongst stage…

Machine Learning · Computer Science 2025-04-22 Navreet Kaur , Manuel Gonzales , Cristian Garcia Alcaraz , Jiaqi Gong , Kristen J. Wells , Laura E. Barnes

This study reveals the important role of prevention care and medication adherence in reducing hospitalizations. By using a structured dataset of 1,171 patients, four machine learning models Logistic Regression, Gradient Boosting, Random…

Machine Learning · Computer Science 2025-04-11 Yixin Zhang , Yisong Chen

Machine learning systems trained on electronic health records (EHRs) increasingly guide treatment decisions, but their reliability depends on the critical assumption that patients follow the prescribed treatments recorded in EHRs. Using EHR…

Machine Learning · Computer Science 2025-04-22 Zhongyuan Liang , Arvind Suresh , Irene Y. Chen

Adherence to prescribed treatments is crucial for individuals with chronic conditions to avoid costly or adverse health outcomes. For certain patient groups, intensive lifestyle interventions are vital for enhancing medication adherence.…

Machine Learning · Computer Science 2025-03-21 Abdullah Mamun , Diane J. Cook , Hassan Ghasemzadeh

Poor medication adherence presents serious economic and health problems including compromised treatment effectiveness, medical complications, and loss of billions of dollars in wasted medicine or procedures. Though various interventions…

Artificial Intelligence · Computer Science 2021-05-20 Chrisogonas Odhiambo , Pamela Wright , Cindy Corbett , Homayoun Valafar

Medication adherence is a problem of widespread concern in clinical care. Poor adherence is a particular problem for patients with chronic diseases requiring long-term medication because poor adherence can result in less successful…

Methodology · Statistics 2021-04-26 Kristen B. Hunter , Mark E. Glickman , Luis F. Campos

Tuberculosis (TB), an infectious bacterial disease, is a significant cause of death, especially in low-income countries, with an estimated ten million new cases reported globally in $2020$. While TB is treatable, non-adherence to the…

Medical non-adherence increasingly is recognized as a major medical health problem. Approximately 50% of patients do not take their medications as prescribed and such poor adherence has been shown to result in complications, death, and…

Human-Computer Interaction · Computer Science 2017-08-10 Anna Iurchenko

It is not clear how to target patients who are most likely to benefit from digital care management programs ex-ante, a shortcoming of current risk score based approaches. This study focuses on defining impactability by identifying those…

Quantitative Methods · Quantitative Biology 2019-05-16 Heather Mattie , Patrick Reidy , Patrik Bachtiger , Emily Lindemer , Mohammad Jouni , Trishan Panch

Medication adherence is a well-known problem for pharmaceutical treatment of chronic diseases. Understanding how nonadherence affects treatment efficacy is made difficult by the ethics of clinical trials that force patients to skip doses of…

Quantitative Methods · Quantitative Biology 2021-12-30 Elijah D Counterman , Sean D Lawley

Unattended scheduled appointments, defined as patient no-shows, adversely affect both healthcare providers and patients' health, disrupting the continuity of care, operational efficiency, and the efficient allocation of medical resources.…

Machine Learning · Computer Science 2026-01-21 Ninda Nurseha Amalina , Heungjo An

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

Internet-delivered psychological treatments (IDPT) are seen as an effective and scalable pathway to improving the accessibility of mental healthcare. Within this context, treatment adherence is an especially pertinent challenge to address…

Machine Learning · Computer Science 2022-09-07 Ulysse Côté-Allard , Minh H. Pham , Alexandra K. Schultz , Tine Nordgreen , Jim Torresen

Accuracy and interpretability are two dominant features of successful predictive models. Typically, a choice must be made in favor of complex black box models such as recurrent neural networks (RNN) for accuracy versus less accurate but…

Machine Learning · Computer Science 2017-02-28 Edward Choi , Mohammad Taha Bahadori , Joshua A. Kulas , Andy Schuetz , Walter F. Stewart , Jimeng Sun

Repetitive laboratory testing unlikely to yield clinically useful information is a common practice that burdens patients and increases healthcare costs. Education and feedback interventions have limited success, while general test ordering…

Low attendance levels in medical appointments have been associated with poor health outcomes and efficiency problems for service providers. To address this problem, healthcare managers could aim at improving attendance levels or minimizing…

Machine Learning · Computer Science 2020-12-11 David Barrera Ferro , Sally Brailsford , Cristián Bravo , Honora Smith

Non-muscle-invasive bladder cancer (NMIBC) is a relentless challenge in oncology, with recurrence rates soaring as high as 70-80%. Each recurrence triggers a cascade of invasive procedures, lifelong surveillance, and escalating healthcare…

Machine Learning · Computer Science 2025-05-02 Saram Abbas , Naeem Soomro , Rishad Shafik , Rakesh Heer , Kabita Adhikari

Personal health devices can enable continuous monitoring of health parameters. However, the benefit of these devices is often directly related to the frequency of use. Therefore, adherence to personal health devices is critical. This paper…

Computers and Society · Computer Science 2020-06-11 Sudip Vhaduri , Temiloluwa Prioleau
‹ Prev 1 2 3 10 Next ›