English
Related papers

Related papers: Adherence Forecasting for Guided Internet-Delivere…

200 papers

In the context of digital therapy interventions, such as internet-delivered Cognitive Behavioral Therapy (iCBT) for the treatment of depression and anxiety, extensive research has shown how the involvement of a human supporter or coach, who…

Human-Computer Interaction · Computer Science 2021-11-15 Anja Thieme

A critical challenge facing clinicians managing chronic disease interventions is sustaining long-run patient health given limited information and resources. Digital therapeutics (DTs) provide a cost-effective way to manage interventions at…

Machine Learning · Computer Science 2026-05-26 Eric Pulick , Stephanie Carpenter , Matthew Buman , Yonatan Mintz

Despite the massive costs and widespread harms of substance use, most individuals with substance use disorders (SUDs) receive no treatment at all. Digital therapeutics platforms are an emerging low-cost and low-barrier means of extending…

Systems and Control · Electrical Eng. & Systems 2025-04-03 Eric Pulick , Yonatan Mintz

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

The Internet of Medical Things (IoMT) paradigm is becoming mainstream in multiple clinical trials and healthcare procedures. Cardiovascular diseases monitoring, usually involving electrocardiogram (ECG) traces analysis, is one of the most…

Machine Learning · Computer Science 2021-07-26 Matteo Antonio Scrugli , Daniela Loi , Luigi Raffo , Paolo Meloni

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

Medication non-adherence is a widespread problem affecting over 50% of people who have chronic illness and need chronic treatment. Non-adherence exacerbates health risks and drives significant increases in treatment costs. In order to…

Machine Learning · Computer Science 2020-04-03 Yingqi Gu , Akshay Zalkikar , Lara Kelly , Kieran Daly , Tomas E. Ward

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

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

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

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

In this modern world, people are becoming more self-centered and unsocial. On the other hand, people are stressed, becoming more anxious during COVID-19 pandemic situation and exhibits symptoms of behavioral disorder. To measure the…

Human-Computer Interaction · Computer Science 2022-05-02 Tasnim Niger , Hasanur Rayhan , Rashidul Islam , Kazi Asif Abdullah Noor , Kamrul Hasan

The growing global population of older adults, combined with ongoing healthcare workforce shortages, has increased reliance on informal caregivers, including family members and friends who provide unpaid support to individuals with chronic…

Human-Computer Interaction · Computer Science 2025-12-04 Zhiyin Zhou

Millions of vulnerable consumer IoT devices in home networks are the enabler for cyber crimes putting user privacy and Internet security at risk. Internet service providers (ISPs) are best poised to play key roles in mitigating risks by…

Clinical AI systems frequently suffer performance decay post-deployment due to temporal data shifts, such as evolving populations, diagnostic coding updates (e.g., ICD-9 to ICD-10), and systemic shocks like the COVID-19 pandemic. Addressing…

Applications · Statistics 2026-01-22 Xin Xiong , Zijian Guo , Haobo Zhu , Chuan Hong , Jordan W Smoller , Tianxi Cai , Molei Liu

This work proposes a new class of proactive attacks called the Informational Denial-of-Service (IDoS) attacks that exploit the attentional human vulnerability. By generating a large volume of feints, IDoS attacks deplete the cognitive…

Cryptography and Security · Computer Science 2021-10-19 Linan Huang , Quanyan Zhu

Genito-Pelvic Pain/Penetration-Disorder (GPPPD) is a common disorder but rarely treated in routine care. Previous research documents that GPPPD symptoms can be treated effectively using internet-based psychological interventions. However,…

Cognitive training for sustained attention and working memory is vital across domains relying on robust mental capacity such as education or rehabilitation. Adaptive systems are essential, dynamically matching difficulty to user ability to…

Human-Computer Interaction · Computer Science 2026-02-19 Dominik Szczepaniak , Monika Harvey , Fani Deligianni

Adaptive experiments automatically optimize their design throughout the data collection process, which can bring substantial benefits compared to conventional experimental settings. Potential applications include, among others: computerized…

Methodology · Statistics 2026-04-01 Lucas Gautheron , Nori Jacoby , Peter Harrison

Missing data is a relevant issue in time series, especially in biomedical sequences such as those corresponding to smooth pursuit eye movements, which often contain gaps due to eye blinks and track losses, complicating the analysis and…

‹ Prev 1 2 3 10 Next ›