Hospital-Based Medicine

Surveillance

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

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Classification-by-Analogy: Using Vector Representations of Implicit Relationships to Identify Plausibly Causal Drug/Side-effect Relationships.

An important aspect of post-marketing drug surveillance involves identifying potential side-effects ...

An Extended SNOMED CT Concept Model for Observations in Molecular Genetics.

Molecular genetics laboratory reports are multiplying and increasingly of clinical importance in dia...

Automatic diet monitoring: a review of computer vision and wearable sensor-based methods.

Food intake and eating habits have a significant impact on people's health. Widespread diseases, suc...

Cross-Disciplinary Consultancy to Enhance Predictions of Asthma Exacerbation Risk in Boston.

This paper continues an initiative conducted by the International Society for Disease Surveillance w...

Twitter Influenza Surveillance: Quantifying Seasonal Misdiagnosis Patterns and their Impact on Surveillance Estimates.

BACKGROUND: Influenza (flu) surveillance using Twitter data can potentially save lives and increase ...

Prediction of lymph node parasite load from clinical data in dogs with leishmaniasis: An application of radial basis artificial neural networks.

Quantification of Leishmania infantum load via real-time quantitative polymerase chain reaction (qPC...

Development of a Machine Learning Algorithm for the Surveillance of Autism Spectrum Disorder.

The Autism and Developmental Disabilities Monitoring (ADDM) Network conducts population-based survei...

Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View.

BACKGROUND: As more and more researchers are turning to big data for new opportunities of biomedical...

Susceptibility Profiles of Isolates to Streptomycin and Rifampicin in Two Districts of the Eastern Region of Ghana.

. Drug resistance is a major challenge in antibiotic chemotherapy. Assessing resistance profiles of ...

Social Media as a Sentinel for Disease Surveillance: What Does Sociodemographic Status Have to Do with It?

INTRODUCTION: Data from social media have been shown to have utility in augmenting traditional appro...

Development of chronic hepatitis B infection in a hepatitis B vaccine responder.

The Hepatitis B vaccine is highly effective for the prevention of hepatitis B (HBV) infection. We re...

Detection of clinically important colorectal surgical site infection using Bayesian network.

BACKGROUND: Despite extensive efforts to monitor and prevent surgical site infections (SSIs), real-t...

Impact of three task demand factors on simulated unmanned system intelligence, surveillance, and reconnaissance operations.

The present study investigated how three task demand factors influenced performance, subjective work...

Exploring trends of nonmedical use of prescription drugs and polydrug abuse in the Twittersphere using unsupervised machine learning.

INTRODUCTION: Nonmedical use of prescription medications/drugs (NMUPD) is a serious public health th...

Detecting hospital-acquired infections: A document classification approach using support vector machines and gradient tree boosting.

Hospital-acquired infections pose a significant risk to patient health, while their surveillance is ...

Applying GIS and Machine Learning Methods to Twitter Data for Multiscale Surveillance of Influenza.

Traditional methods for monitoring influenza are haphazard and lack fine-grained details regarding t...

Supporting Regularized Logistic Regression Privately and Efficiently.

As one of the most popular statistical and machine learning models, logistic regression with regular...

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