Hospital-Based Medicine

Surveillance

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

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A pilot study exploring staff acceptability of a socially assistive robot in a residential care facility that accommodates people under 65 years old.

ABSTRACTSocially assistive robots have successfully been trialed in residential care facilities (RCF...

Evaluation of fingerprinting techniques to assess genotype variation among Zygosaccharomyces strains.

Molecular typing techniques are key tools in surveillance of food spoilage yeasts, in investigations...

A systematic review of data mining and machine learning for air pollution epidemiology.

BACKGROUND: Data measuring airborne pollutants, public health and environmental factors are increasi...

Artificial intelligence and deep learning - Radiology's next frontier?

Tracing the use of computers in the radiology department from administrative functions through image...

Graph-based representation of behavior in detection and prediction of daily living activities.

Various surveillance systems capture signs of human activities of daily living (ADLs) and store mult...

Poor vitamin D status increases the risk of anemia in school children: National Food and Nutrition Surveillance.

OBJECTIVES: This study aimed to investigate the association between 25-hydroxyvitamin D (25[OH]D) co...

Escape and surveillance asymmetries in locusts exposed to a Guinea fowl-mimicking robot predator.

Escape and surveillance responses to predators are lateralized in several vertebrate species. Howeve...

Prediction of lung cancer patient survival via supervised machine learning classification techniques.

Outcomes for cancer patients have been previously estimated by applying various machine learning tec...

Survivability prediction of colon cancer patients using neural networks.

We utilize deep neural networks to develop prediction models for patient survival and conditional su...

Enhancing Seasonal Influenza Surveillance: Topic Analysis of Widely Used Medicinal Drugs Using Twitter Data.

BACKGROUND: Uptake of medicinal drugs (preventive or treatment) is among the approaches used to cont...

Outcomes of combination MRI-targeted and transperineal template biopsy in restaging low-risk prostate cancer for active surveillance.

OBJECTIVE: Active surveillance (AS) offers a strategy to reduce overtreatment and now is a widely ac...

Classification and analysis of a large collection of in vivo bioassay descriptions.

Testing potential drug treatments in animal disease models is a decisive step of all preclinical dru...

Long-term survival after surveillance and treatment in patients with chronic viral hepatitis and hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is the main cause of mortality in patients with chronic viral hepatit...

The effects of natural language processing on cross-institutional portability of influenza case detection for disease surveillance.

OBJECTIVES: This study evaluates the accuracy and portability of a natural language processing (NLP)...

Assigning clinical codes with data-driven concept representation on Dutch clinical free text.

Clinical codes are used for public reporting purposes, are fundamental to determining public financi...

Endomicroscopy for Computer and Robot Assisted Intervention.

Endomicroscopy is a new technique that allows human tissue to be characterized in vivo and in situ, ...

A doubly robust approach for cost-effectiveness estimation from observational data.

Estimation of common cost-effectiveness measures, including the incremental cost-effectiveness ratio...

Identification of adverse drug-drug interactions through causal association rule discovery from spontaneous adverse event reports.

OBJECTIVE: Drug-drug interaction (DDI) is of serious concern, causing over 30% of all adverse drug r...

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