Surveillance

Emerging trends in geospatial artificial intelligence (geoAI): potential applications for environmental epidemiology.

Geospatial artificial intelligence (geoAI) is an emerging scientific discipline that combines innovations in spatial science, artificial intelligence methods in machine learning (e.g., deep learning), data mining, and high-performance computing to extract knowledge from spatial big data. In environmental epidemiology, exposure modeling is a commonly used approach to conduct exposure assessment to ...

Electronic Surveillance For Catheter-Associated Urinary Tract Infection Using Natural Language Processing.

Catheter-associated urinary tract infection (CAUTI) is a common and costly healthcare-associated infection, yet measuring it accurately is challenging and resource-intensive. Electronic surveillance promises to make this task more objective and efficient in an era of new financial and regulatory imperatives, but previous surveillance approaches have used a simplified version of the definition. We ...

Identifying Falls Risk Screenings Not Documented with Administrative Codes Using Natural Language Processing.

Quality reporting that relies on coded administrative data alone may not completely and accurately depict providers' performance. To assess this conce...

Detecting Evidence of Intra-abdominal Surgical Site Infections from Radiology Reports Using Natural Language Processing.

Free-text reports in electronic health records (EHRs) contain medically significant information - signs, symptoms, findings, diagnoses - recorded by c...

Machine learning for the meta-analyses of microbial pathogens' volatile signatures.

Non-invasive and fast diagnostic tools based on volatolomics hold great promise in the control of infectious diseases. However, the tools to identify ...

A review of influenza detection and prediction through social networking sites.

Early prediction of seasonal epidemics such as influenza may reduce their impact in daily lives. Nowadays, the web can be used for surveillance of dis...

Methodologic Guide for Evaluating Clinical Performance and Effect of Artificial Intelligence Technology for Medical Diagnosis and Prediction.

The use of artificial intelligence in medicine is currently an issue of great interest, especially with regard to the diagnostic or predictive analysi...

Cockcroft-Gault, Modification of Diet in Renal Disease, and Chronic Kidney Disease Epidemiology Collaboration equations for estimating glomerular filtration rates in cancer patients receiving cisplatin-based chemotherapy.

BACKGROUND: Although the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation has been recommended for accurate estimates of glomerula...

Haemophilus influenzae type b (Hib) seroprevalence and current epidemiology in England and Wales.

INTRODUCTION: The implementation of the Hib conjugate vaccine in the United Kingdom in 1992 resulted in a rapid decline in invasive Hib disease across...

Avian influenza overview September - November 2017.

Between 1 September and 15 November 2017, 48 A(H5N8) highly pathogenic avian influenza (HPAI) outbreaks in poultry holdings and 9 H5 HPAI wild bird ev...

[Surveillance of Sensitivity to Penicillin in streptococcus Agalactiae recovered from pregnant women between 35-37 weeks of gestation].

Streptococcus agalactiae (GBS) cause severe infections in newborns under three months. Meningitis, pneumonia and sepsis are the main infectious diseas...

Surveillance of iclaprim activity: In vitro susceptibility of gram-positive pathogens collected from 2012 to 2014 from the United States, Asia Pacific, Latin American and Europe.

Iclaprim is a diaminopyrimidine, which inhibits bacterial dihydrofolate reductase, and it is highly active against Gram-positive pathogens including e...

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 (RCFs) for older adults. These robots may have potenti...

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 on intra-species population diversity, and in tra...

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

BACKGROUND: Data measuring airborne pollutants, public health and environmental factors are increasingly being stored and merged. These big datasets o...

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

Tracing the use of computers in the radiology department from administrative functions through image acquisition, storage, and reporting, to early att...

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 multimodal information as time line behavioral records...

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. However, little is known on the laterality of escapes an...

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 techniques to large datasets such as the Surveillance...

Survivability prediction of colon cancer patients using neural networks.

We utilize deep neural networks to develop prediction models for patient survival and conditional survival of colon cancer. Our models are trained and...