Public Health & Policy

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

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Development of automatic surveillance of animal behaviour and welfare using image analysis and machine learned segmentation technique.

In this paper the feasibility to extract the proportion of pigs located in different areas of a pig ...

Computational Discrimination of Breast Cancer for Korean Women Based on Epidemiologic Data Only.

Breast cancer is the second leading cancer for Korean women and its incidence rate has been increasi...

Automatic classification of diseases from free-text death certificates for real-time surveillance.

BACKGROUND: Death certificates provide an invaluable source for mortality statistics which can be us...

Genomics and Machine Learning for Taxonomy Consensus: The Mycobacterium tuberculosis Complex Paradigm.

Infra-species taxonomy is a prerequisite to compare features such as virulence in different pathogen...

Using local lexicalized rules to identify heart disease risk factors in clinical notes.

Heart disease is the leading cause of death globally and a significant part of the human population ...

Usage of Probabilistic and General Regression Neural Network for Early Detection and Prevention of Oral Cancer.

In India, the oral cancers are usually presented in advanced stage of malignancy. It is critical to ...

Natural Language Processing for Real-Time Catheter-Associated Urinary Tract Infection Surveillance: Results of a Pilot Implementation Trial.

BACKGROUND: Incidence of catheter-associated urinary tract infection (CAUTI) is a quality benchmark....

Intelligent Surveillance Robot with Obstacle Avoidance Capabilities Using Neural Network.

For specific purpose, vision-based surveillance robot that can be run autonomously and able to acqui...

Acceptability and usability of a telepresence robot for geriatric primary care: A pilot.

The dual challenge of increasing numbers of older adults and overall increases in those with some fo...

Tandem Stance Avoidance Using Adaptive and Asymmetric Admittance Control for Fall Prevention.

Fall prevention is one of the most important functions of walking assistance devices for user's safe...

Machine learning approaches to analysing textual injury surveillance data: a systematic review.

OBJECTIVE: To synthesise recent research on the use of machine learning approaches to mining textual...

Multi-center colonoscopy quality measurement utilizing natural language processing.

BACKGROUND: An accurate system for tracking of colonoscopy quality and surveillance intervals could ...

Autonomous surveillance for biosecurity.

The global movement of people and goods has increased the risk of biosecurity threats and their pote...

Application of a hybrid method combining grey model and back propagation artificial neural networks to forecast hepatitis B in china.

Accurate incidence forecasting of infectious disease provides potentially valuable insights in its o...

Diabetes knowledge in young adults: associations with hemoglobin A1C.

The purpose of this study was to quantify associations between hemoglobin A1C (A1C) and diabetes kno...

Predicting inpatient stay lasting 2 midnights or longer after robotic surgery for endometrial cancer.

OBJECTIVE: To estimate the rate of inpatient stay and the factors predicting inpatient status after ...

Quantifying the determinants of outbreak detection performance through simulation and machine learning.

OBJECTIVE: To develop a probabilistic model for discovering and quantifying determinants of outbreak...

Ocular complications in robotic-assisted prostatectomy: a review of pathophysiology and prevention.

Ocular complications reported after robotic-assisted laparoscopic radical prostatectomy (RALP) inclu...

[Infection prevention check-in and infection prevention check-out to prevent nosocomial infections].

BACKGROUND: A precondition for the success of the prevention of SSI is the complete realisation of t...

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