On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

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5 results for “non-adherence”

The Impact of Medication Non-adherence on Adverse Outcomes: Evidence from Schizophrenia Patients via Survival Analysiscs.AI

Study finds non-adherence to schizophrenia meds leads to earlier adverse events.

problem Impact of medication non-adherence on adverse outcomes in schizophrenia patients.

method Survival analysis, causal inference methods (T-learner, S-learner, nearest neighbor matching), different amounts of longitudinal information.

result Non-adherence to schizophrenia meds advances adverse events by 1 to 4 months.

schizophrenia medication non-adherence survival analysis causal inference adverse outcomes

2025-06-22abs ↗pdf ↗

Machine Learning on Electronic Health Records: Models and Features Usages to predict Medication Non-Adherencecs.LG

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 about 50% of patients with chronic diseases correctly follow their treatments. Thi…

2018-11-29abs ↗pdf ↗

Predicting Injectable Medication Adherence via a Smart Sharps Bin and Machine Learningcs.LG

Smart bin monitors predict medication adherence with high accuracy.

problem Predicting chronic medication adherence to improve healthcare efficiency.

method Machine learning models trained on IoT device data.

result High predictive performance (ROC AUC 0.86).

medication adherence IoT machine learning smart bin chronic illness

2020-04-02abs ↗pdf ↗

A Machine Learning System for Retaining Patients in HIV Carecs.CY

System predicts HIV patients at risk of dropping out of care.

problem High non-adherence and dropout rates among HIV patients.

method Predictive machine learning model based on resource constraints, stability, and fairness.

result Model performs 3x better than baseline for clinical use and 2.3x better for city-wide use.

HIV retention machine learning non-adherence public health

2020-06-01abs ↗pdf ↗

Mind the Gap: Optimal and Equitable Encouragement Policiescs.LG

Study optimal and equitable encouragement policies for treatment adherence.

problem Optimal treatment adherence policies in the presence of human non-adherence.

method Covariate-conditional no-direct-effect model of encouragement; tractable policy characterizations under constraints.

result Induced treatment take-up is the fairness target, not recommendation rates.

encouragement policies treatment adherence fairness covariate-conditional model optimization

2023-09-12abs ↗pdf ↗