Hospital-Based Medicine

Surveillance

Latest AI and machine learning research in surveillance for healthcare professionals.

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A comparison of three data mining time series models in prediction of monthly brucellosis surveillance data.

The early and accurately detection of brucellosis incidence change is of great importance for implem...

Jul 2019 31305019
Management of Thyroid Nodules Seen on US Images: Deep Learning May Match Performance of Radiologists.

BackgroundManagement of thyroid nodules may be inconsistent between different observers and time con...

Jul 2019 31287391
Automatic classification of free-text medical causes from death certificates for reactive mortality surveillance in France.

BACKGROUND: Mortality surveillance is of fundamental importance to public health surveillance. The r...

Jul 2019 31522022
Scoring of Coronary Artery Disease Characteristics on Coronary CT Angiograms by Using Machine Learning.

Background Coronary CT angiography contains prognostic information but the best method to extract th...

Jun 2019 31237495
Artificial Intelligence in Medical Education: Best Practices Using Machine Learning to Assess Surgical Expertise in Virtual Reality Simulation.

OBJECTIVE: Virtual reality simulators track all movements and forces of simulated instruments, gener...

Jun 2019 31202633
An Ontology to Standardize Research Output of Nutritional Epidemiology: From Paper-Based Standards to Linked Content.

BACKGROUND: The use of linked data in the Semantic Web is a promising approach to add value to nutri...

Jun 2019 31181762
Using Artificial Intelligence to Revise ACR TI-RADS Risk Stratification of Thyroid Nodules: Diagnostic Accuracy and Utility.

Background Risk stratification systems for thyroid nodules are often complicated and affected by low...

May 2019 31112088
Cancer taxonomy: pathology beyond pathology.

The way we categorise and classify cancer types dictates not only the way we diagnose and treat pati...

May 2019 31108243
Statistical learning approaches in the genetic epidemiology of complex diseases.

In this paper, we give an overview of methodological issues related to the use of statistical learni...

May 2019 31049651
Chief complaint classification with recurrent neural networks.

Syndromic surveillance detects and monitors individual and population health indicators through sour...

Mar 2019 30926471
Drivers for the development of an Animal Health Surveillance Ontology (AHSO).

Comprehensive reviews of syndromic surveillance in animal health have highlighted the hindrances to ...

Mar 2019 30935504
Lung Cancer Survival Prediction via Machine Learning Regression, Classification, and Statistical Techniques.

A regression model is developed to predict survival time in months for lung cancer patients. It was ...

Feb 2019 31312809
Artificial Neural Network for in-Bed Posture Classification Using Bed-Sheet Pressure Sensors.

Pressure ulcer prevention is a vital procedure for patients undergoing long-term hospitalization. A ...

Feb 2019 30762571
Semi-supervised learning to improve generalizability of risk prediction models.

The utility of a prediction model depends on its generalizability to patients drawn from different b...

Feb 2019 30738948
[An online dynamic knowledge base in multiple languages on general medicine and primary care].

INTRODUCTION: The International Classification of Primary Care, Second version (ICPC-2) aligned with...

Feb 2019 31223358
Using Machine Learning To Predict Antimicrobial MICs and Associated Genomic Features for Nontyphoidal .

Nontyphoidal species are the leading bacterial cause of foodborne disease in the United States. Who...

Jan 2019 30333126
A prototype of knowledge-based patient safety event reporting and learning system.

BACKGROUND: Patient falls, the most common safety events resulting in adverse patient outcomes, impo...

Dec 2018 30526567
A Scalable Machine Learning Approach for Inferring Probabilistic US-LI-RADS Categorization.

We propose a scalable computerized approach for large-scale inference of Liver Imaging Reporting and...

Dec 2018 30815059
A picture tells a thousand…exposures: Opportunities and challenges of deep learning image analyses in exposure science and environmental epidemiology.

BACKGROUND: Artificial intelligence (AI) is revolutionizing our world, with applications ranging fro...

Nov 2018 30473381
Machine-learned epidemiology: real-time detection of foodborne illness at scale.

Machine learning has become an increasingly powerful tool for solving complex problems, and its appl...

Nov 2018 31304318
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