Public Health & Policy

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

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Showing 2143-2163 of 8,074 articles
Computerized tumor multinucleation index (MuNI) is prognostic in p16+ oropharyngeal carcinoma.

BACKGROUNDPatients with p16+ oropharyngeal squamous cell carcinoma (OPSCC) are potentially cured wit...

Prediction of bio-sequence modifications and the associations with diseases.

Modifications of protein, RNA and DNA play an important role in many biological processes and are re...

[Postoperative Inguinal Hernia after Robot-Assisted Radical Prostatectomy with Prevention Technique Using Spermatic Cord Isolation].

We retrospectivelyevaluated postoperative inguinal hernias (PIHs) after robot-assisted radical prost...

Key Principles of Clinical Validation, Device Approval, and Insurance Coverage Decisions of Artificial Intelligence.

Artificial intelligence (AI) will likely affect various fields of medicine. This article aims to exp...

[Application of artificial intelligence for detection and classification of colon polyps].

Colorectal cancer is one of the most common cancers worldwide, and colonoscopy has proven to be a pr...

Artificial intelligence enabled preliminary diagnosis for COVID-19 from voice cues and questionnaires.

The COVID-19 outbreak was announced as a global pandemic by the World Health Organization in March 2...

Intersections of machine learning and epidemiological methods for health services research.

The field of health services research is broad and seeks to answer questions about the health care s...

Ensemble modelling in descriptive epidemiology: burden of disease estimation.

Ensemble modelling is a quantitative method that combines information from multiple individual model...

End-stage renal disease at dialysis initiation: Epidemiology and mortality risks during the first year of hemodialysis.

Chronic kidney disease (CKD) treated by hemodialysis (HD) is a worldwide major public health problem...

Achieving Equitable Access to Medicines and Health Services: A COVID-19-time Recalled Matter.

In the 21 century, while some people seek to use artificial intelligence for health services deliver...

Deep learning assistance for tuberculosis diagnosis with chest radiography in low-resource settings.

Tuberculosis (TB) is a major health issue with high mortality rates worldwide. Recently, tremendous ...

Clinical Databases for Breast Cancer Research.

Clinical database is a collection of clinical data related to patients, which can be used for analys...

Protocol for Epistasis Detection with Machine Learning Using GenEpi Package.

To develop medical treatments and prevention, the association between disease and genetic variants n...

CheXclusion: Fairness gaps in deep chest X-ray classifiers.

Machine learning systems have received much attention recently for their ability to achieve expert-l...

Security robot for the prevention of workplace violence using the Non-linear Adaptive Heuristic Mathematical Model.

BACKGROUND: Nowadays, workplace violence is found to be a mental health hazard and considered a cruc...

Estimation of COVID-19 epidemic curves using genetic programming algorithm.

This paper investigates the possibility of the implementation of Genetic Programming (GP) algorithm ...

Deep Learning in the Quest for Compound Nomination for Fighting COVID-19.

The current COVID-19 pandemic initiated an unprecedented response from clinicians and the scientific...

Determination of disease severity in COVID-19 patients using deep learning in chest X-ray images.

PURPOSE: Chest X-ray plays a key role in diagnosis and management of COVID-19 patients and imaging f...

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