Surveillance

Person Re-identification by Multi-hypergraph Fusion.

Matching people across nonoverlapping cameras, also known as person re-identification, is an important and challenging research topic. Despite its great demand in many crucial applications such as surveillance, person re-identification is still far from being solved. Due to drastic view changes, even the same person may look quite dissimilar in different cameras. Illumination and pose variations f...

Incidence and outcomes of neonatal acute kidney injury (AWAKEN): a multicentre, multinational, observational cohort study.

BACKGROUND: Single-center studies suggest that neonatal acute kidney injury (AKI) is associated with poor outcomes. However, inferences regarding the association between AKI, mortality, and hospital length of stay are limited due to the small sample size of those studies. In order to determine whether neonatal AKI is independently associated with increased mortality and longer hospital stay, we an...

The use of natural language processing on pediatric diagnostic radiology reports in the electronic health record to identify deep venous thrombosis in children.

Venous thromboembolism (VTE) is a potentially life-threatening condition that includes both deep vein thrombosis (DVT) and pulmonary embolism. We soug...

Identifying personal health experience tweets with deep neural networks.

Twitter, as a social media platform, has become an increasingly useful data source for health surveillance studies, and personal health experiences sh...

An artificial neural network prediction model of congenital heart disease based on risk factors: A hospital-based case-control study.

An artificial neural network (ANN) model was developed to predict the risks of congenital heart disease (CHD) in pregnant women.This hospital-based ca...

Leveraging Event Reporting Through Knowledge Support: A Knowledge-Based Approach to Promoting Patient Fall Prevention.

Patient falls are a common safety event type that impairs the healthcare quality. Strategies including solution tools and reporting systems for preven...

Automatically Identifying Topics of Consumer Health Questions in Chinese.

In health question answering (QA) system development, question topic identification is crucial to understand users' information needs and further faci...

Active Surveillance Use Among a Low-risk Prostate Cancer Population in a Large US Payer System: 17-Gene Genomic Prostate Score Versus Other Risk Stratification Methods.

Many men with low-risk prostate cancer (PCa) receive definitive treatment despite recommendations that have been informed by two large, randomized tri...

The prevalence of statistical reporting errors in psychology (1985-2013).

This study documents reporting errors in a sample of over 250,000 p-values reported in eight major psychology journals from 1985 until 2013, using the...

Digital Pharmacovigilance and Disease Surveillance: Combining Traditional and Big-Data Systems for Better Public Health.

The digital revolution has contributed to very large data sets (ie, big data) relevant for public health. The two major data sources are electronic he...

Natural Language Processing Technologies in Radiology Research and Clinical Applications.

The migration of imaging reports to electronic medical record systems holds great potential in terms of advancing radiology research and practice by l...

A Supervised Learning Process to Validate Online Disease Reports for Use in Predictive Models.

Pathogen distribution models that predict spatial variation in disease occurrence require data from a large number of geographic locations to generate...

A Longitudinal Support Vector Regression for Prediction of ALS Score.

Longitudinal studies play a key role in various fields, including epidemiology, clinical research, and genomic analysis. Currently, the most popular m...

The drug prescription network: a system-level view of drug co-prescription in community-dwelling elderly people.

Networks are well suited to display and analyze complex systems that consist of numerous and interlinked elements. This study aimed at: (1) generating...

On Building an Ontological Knowledge Base for Managing Patient Safety Events.

Over the past decade, improving healthcare quality and safety through patient safety event reporting systems has drawn much attention. Unfortunately, ...

A Statistical Analysis of Term Occurrences in Radiology Reporting.

To compare term occurrences in free-text radiology reports and RSNA reporting templates, we selected five templates from an RSNA reporting template li...

Enhancing Patient Safety Event Reporting by K-nearest Neighbor Classifier.

Data quality was placed as a major reason for the low utility of patient safety event reporting systems. A pressing need in improving data quality has...

[A case report of hepatitis B virus reactivation in a hepatitis B core antibody-positive, hepatitis B surface antigen-negative hemodialysis patient].

Reactivation of the hepatitis B virus (HBV) has been reported in patients receiving immunosuppressive therapy or chemotherapy. We report a case of HBV...