Health Policy

Health system measurement: Harnessing machine learning to advance global health.

BACKGROUND: Further improvements in population health in low- and middle-income countries demand hig...

Deep learning based low-cost high-accuracy diagnostic framework for dementia using comprehensive neuropsychological assessment profiles.

BACKGROUND: The conventional scores of the neuropsychological batteries are not fully optimized for ...

Sociomarkers and biomarkers: predictive modeling in identifying pediatric asthma patients at risk of hospital revisits.

The importance of social components of health has been emphasized both in epidemiology and public he...

Learning zero-cost portfolio selection with pattern matching.

We replicate and extend the adversarial expert based learning approach of Györfi et al to the situat...

Machine learning ensemble models predict total charges and drivers of cost for transsphenoidal surgery for pituitary tumor.

OBJECTIVE: Efficient allocation of resources in the healthcare system enables providers to care for ...

Cost-sensitive multi-label learning with positive and negative label pairwise correlations.

Multi-label learning is the problem where each instance is associated with multiple labels simultane...

Wearable artificial kidney and wearable ultrafiltration device vascular access-future directions.

BACKGROUND: Since 2005, three human clinical trials have been performed with the Wearable Artificial...

Factorization machines and deep views-based co-training for improving answer quality prediction in online health expert question-answering services.

In online health expert question-answering (HQA) services, it is significant to automatically determ...

Serum vitamin D deficiency and vitamin D receptor gene polymorphism are associated with increased risk of cardiovascular disease in a Chinese rural population.

Several studies have reported a conflicting association between vitamin D deficiency, vitamin D rece...

The Impact of Health Equity Coaching on Patient's Perceptions of Cultural Competency and Communication in a Pediatric Emergency Department: An Intervention Design.

PURPOSE: American Indian (AI) children experience significant disparities in health-care access. As ...

Quality assurance of biomedical terminologies and ontologies.

Societal Issues Concerning the Application of Artificial Intelligence in Medicine.

BACKGROUND: Medicine is becoming an increasingly data-centred discipline and, beyond classical stati...

Remote-access thyroid surgery-progress, assessment, and reflection.

Predicting Therapy Success and Costs for Personalized Treatment Recommendations Using Baseline Characteristics: Data-Driven Analysis.

BACKGROUND: Different treatment alternatives exist for psychological disorders. Both clinical and co...

Conclusion: harmonisation in genomic and health data sharing for research: an impossible dream?

There are clear benefits from genomics and health data sharing in research and in therapy for indivi...

High-resolution acoustic surveys with diving gliders come at a cost of aliasing moving targets.

Underwater gliders are autonomous robots that follow a slow, see-saw path and may be deployed for mo...

EAPB: entropy-aware path-based metric for ontology quality.

BACKGROUND: Entropy has become increasingly popular in computer science and information theory becau...

The Benefit of Fentanyl in Effective Sedation and Quality of Upper Endoscopy: A Double-Blinded Randomized Trial of Fentanyl Added to Midazolam Versus Midazolam Alone for Sedation.

AIMS: Our goals were to compare the effect of adding fentanyl to midazolam in a double-blinded, rand...

Exoskeleton assistance symmetry matters: unilateral assistance reduces metabolic cost, but relatively less than bilateral assistance.

BACKGROUND: Many gait impairments are characterized by asymmetry and result in reduced mobility. Exo...

Confidence in uncertainty: Error cost and commitment in early speech hypotheses.

Interactions with artificial agents often lack immediacy because agents respond slower than their us...

Crowdsourcing image analysis for plant phenomics to generate ground truth data for machine learning.

The accuracy of machine learning tasks critically depends on high quality ground truth data. Therefo...