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Patient Portals

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Enhancing the security of patients' portals and websites by detecting malicious web crawlers using machine learning techniques.

International journal of medical informatics
INTRODUCTION: There is increasing demand for access to medical information via patients' portals. However, one of the challenges towards widespread utilisation of such service is maintaining the security of those portals. Recent reports show an alarm...

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal.

Journal of visualized experiments : JoVE
Differential gene expression analysis is an important technique for understanding disease states. The machine learning algorithm CorEx has shown utility in analyzing differential expression of groups of genes in tumor RNA-seq in a way that may be hel...

A systematic literature review of machine learning in online personal health data.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: User-generated content (UGC) in online environments provides opportunities to learn an individual's health status outside of clinical settings. However, the nature of UGC brings challenges in both data collecting and processing. The purpos...

Classifying patient portal messages using Convolutional Neural Networks.

Journal of biomedical informatics
OBJECTIVE: Patients communicate with healthcare providers via secure messaging in patient portals. As patient portal adoption increases, growing messaging volumes may overwhelm providers. Prior research has demonstrated promise in automating classifi...

A comparison of rule-based and machine learning approaches for classifying patient portal messages.

International journal of medical informatics
OBJECTIVE: Secure messaging through patient portals is an increasingly popular way that consumers interact with healthcare providers. The increasing burden of secure messaging can affect clinic staffing and workflows. Manual management of portal mess...

Community-Acquired Pneumonia Case Validation in an Anonymized Electronic Medical Record-Linked Expert System.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
An electronic anonymized patient portal analysis using radiographic reports and admission and discharge diagnoses had sensitivity, specificity, positive predictive value, and negative predictive value of 84.7%, 78.2%, 75%, and 87%, respectively, for ...