Hospital-Based Medicine

Surveillance

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

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Showing 1387-1407 of 7,569 articles
Automated mutual exclusion rules discovery for structured observational codes in echocardiography reporting.

Structured reporting in medicine has been argued to support and enhance machine-assisted processing ...

Nov 2015 26958191
Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance.

We present a machine learning-based methodology capable of providing real-time ("nowcast") and forec...

Oct 2015 26513245
Relevance Metric Learning for Person Re-Identification by Exploiting Listwise Similarities.

Person re-identification aims to match people across non-overlapping camera views, which is an impor...

Aug 2015 26259221
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...

Jul 2015 26174442
Recognition of activities of daily living in healthy subjects using two ad-hoc classifiers.

BACKGROUND: Activities of daily living (ADL) are important for quality of life. They are indicators ...

Jun 2015 26048452
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....

May 2015 26022228
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...

May 2015 26089863
Natural language processing as an alternative to manual reporting of colonoscopy quality metrics.

BACKGROUND AND AIMS: The adenoma detection rate (ADR) is a quality metric tied to interval colon can...

Apr 2015 25910665
Autonomous surveillance for biosecurity.

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

Mar 2015 25744760
(Q)SAR assessments of potentially mutagenic impurities: a regulatory perspective on the utility of expert knowledge and data submission.

(Quantitative) structure activity relationship [(Q)SAR] modeling is the primary tool used to evaluat...

Dec 2014 25545315
Effect of reporting bias in the analysis of spontaneous reporting data.

It is well-known that a spontaneous reporting system suffers from significant under-reporting of adv...

Nov 2014 25376637
Sensitive Glioma Detection and Recurrence Monitoring Using a Machine Learning Model Based on Circulating Monocytes

Background: Non-invasive diagnosis, reliable recurrence surveillance remain critical unmet needs in ...

Development and Validation of a Machine Learning Model to Predict Prognosis in Patients with Advanced Head and Neck Cancer

Importance Prognostic tools beyond staging are needed to guide treatment and counseling in head and ...

Interpreting the WaveSeekerNet model to reveal the evolution and biology of influenza A virus

Background Influenza A virus (IAV) is a major public health burden, causing seasonal epidemics and o...

Spatio-temporal machine learning for multi-horizon prediction of bluetongue outbreaks

Reliable early warning of infectious disease outbreaks remains a major challenge for surveillance sy...

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