Public Health & Policy

Health Policy

Latest AI and machine learning research in health policy for healthcare professionals.

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Ontological Foundations for Tracking Data Quality through the Internet of Things.

Amongst the positive outcomes expected from the Internet of Things for Health are longitudinal patie...

Understanding Emergency Department 72-Hour Revisits Among Medicaid Patients Using Electronic Healthcare Records.

Electronic Healthcare Records (EHRs) have the potential to improve healthcare quality and to decreas...

[Endotoxin Contamination and Correlation with Other Water Quality Parameters of Groundwater from Self-Contained Wells in Beijing].

A survey of endotoxin activity in groundwater from 14 self-contained wells in PLA units stationed in...

LOWER LEVELS OF VITAMIN D CORRELATE WITH CLINICAL DISEASE ACTIVITY AND QUALITY OF LIFE IN INFLAMMATORY BOWEL DISEASE.

BACKGROUND: Inflammatory bowel disease, comprising Crohn's disease and ulcerative colitis, is a grou...

Efficacy and Safety Evaluation on Arterial Thrombolysis in Treating Acute Cerebral Infarction.

The objective of this study was to evaluate the efficacy and safety of intra-arterial thrombolysis i...

[Multi-component quantitative analysis combined with chromatographic fingerprint for quality assessment of Onosma hookeri].

A method for simultaneous determination of the shikonin, acetyl shikonin and β, β'-dimethylpropene s...

[Quality standard study on Tibetan medicine Gentianae Urnulae Herba].

Gentianae Urnulae Herba, dried whole herb of Gentiana urnula,is a commonly used Tibetan medicine. Ho...

Computational and human observer image quality evaluation of low dose, knowledge-based CT iterative reconstruction.

PURPOSE: Aims in this study are to (1) develop a computational model observer which reliably tracks ...

Sheep milk: physical-chemical characteristics and microbiological quality.

Sheep milk is the third most consumed milk in Brazil. It is much appreciated for its nutritional sta...

Transoral robotic surgery alone for oropharyngeal cancer: quality-of-life outcomes.

IMPORTANCE: Few studies have examined quality-of-life (QOL) outcomes in patients who undergo transor...

Automatic Detection of Masses in Mammograms Using Quality Threshold Clustering, Correlogram Function, and SVM.

Breast cancer is the second most common type of cancer in the world. Several computer-aided detectio...

Assessment of quality outcomes for robotic pancreaticoduodenectomy: identification of the learning curve.

IMPORTANCE: Quality assessment is an important instrument to ensure optimal surgical outcomes, parti...

Artificial neural network modeling of the water quality index using land use areas as predictors.

This paper describes the design of an artificial neural network (ANN) model to predict the water qua...

Learning feature representations with a cost-relevant sparse autoencoder.

There is an increasing interest in the machine learning community to automatically learn feature rep...

Cost-effectiveness of robotic surgery in gynecologic oncology.

PURPOSE OF REVIEW: Robotically assisted surgeries have flourished in the United States, especially i...

Measuring physician adherence with gout quality indicators: a role for natural language processing.

OBJECTIVE: To evaluate physician adherence with gout quality indicators (QIs) for medication use and...

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