Practice Management

Information Technology

Latest AI and machine learning research in information technology for healthcare professionals.

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Interpreting a recurrent neural network's predictions of ICU mortality risk.

Deep learning has demonstrated success in many applications; however, their use in healthcare has be...

Jan 2021 33422663
Using natural language processing to classify social work interventions.

OBJECTIVES: Health care organizations are increasingly employing social workers to address patients'...

Jan 2021 33471465
Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review.

OBJECTIVES: Patient representation learning refers to learning a dense mathematical representation o...

Dec 2020 33387683
Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit.

Traditional Machine Learning (ML) models have had limited success in predicting Coronoavirus-19 (COV...

Dec 2020 33768136
Ontological representation, classification and data-driven computing of phenotypes.

BACKGROUND: The successful determination and analysis of phenotypes plays a key role in the diagnost...

Dec 2020 33349245
An IoT and Fog Computing-Based Monitoring System for Cardiovascular Patients with Automatic ECG Classification Using Deep Neural Networks.

Telemedicine and all types of monitoring systems have proven to be a useful and low-cost tool with a...

Dec 2020 33371514
Multimodal fusion with deep neural networks for leveraging CT imaging and electronic health record: a case-study in pulmonary embolism detection.

Recent advancements in deep learning have led to a resurgence of medical imaging and Electronic Medi...

Dec 2020 33335111
Using multivariate long short-term memory neural network to detect aberrant signals in health data for quality assurance.

BACKGROUND: The data quality of electronic health records (EHR) has been a topic of increasing inter...

Dec 2020 33401168
Quality assurance and enrichment of biological and biomedical ontologies and terminologies.

Biological and biomedical ontologies and terminologies are used to organize and store various domain...

Dec 2020 33319696
Towards semantic interoperability: finding and repairing hidden contradictions in biomedical ontologies.

BACKGROUND: Ontologies are widely used throughout the biomedical domain. These ontologies formally r...

Dec 2020 33319712
Cyberattacks Detection in IoT-Based Smart City Applications Using Machine Learning Techniques.

In recent years, the widespread deployment of the Internet of Things (IoT) applications has contribu...

Dec 2020 33327468
Data augmentation-based conditional Wasserstein generative adversarial network-gradient penalty for XSS attack detection system.

The rapid growth of the worldwide web and accompanied opportunities of web applications in various a...

Dec 2020 33816978
De-Identification of Facial Features in Magnetic Resonance Images: Software Development Using Deep Learning Technology.

BACKGROUND: High-resolution medical images that include facial regions can be used to recognize the ...

Dec 2020 33208302
Generalized Radiographic View Identification with Deep Learning.

To explore the feasibility of an automatic machine-learning algorithm-based quality control system f...

Dec 2020 33263143
Artificial intelligence and multi agent based distributed ledger system for better privacy and security of electronic healthcare records.

BACKGROUND: Application of Artificial Intelligence (AI) and the use of agent-based systems in the he...

Nov 2020 33816973
A Method to Improve Availability and Quality of Patient Race Data in an Electronic Health Record System.

BACKGROUND: Although federal regulations mandate documentation of structured race data according to ...

Nov 2020 33241548
From electronic health records to terminology base: A novel knowledge base enrichment approach.

Enriching terminology base (TB) is an important and continuous process, since formal term can be ren...

Nov 2020 33232839
The ImageJ ecosystem: Open-source software for image visualization, processing, and analysis.

For decades, biologists have relied on software to visualize and interpret imaging data. As techniqu...

Nov 2020 33166005
Analytics with artificial intelligence to advance the treatment of acute respiratory distress syndrome.

Artificial intelligence (AI) has found its way into clinical studies in the era of big data. Acute r...

Nov 2020 33185950
Closing the Digital Health Evidence Gap: Development of a Predictive Score to Maximize Patient Outcomes.

Clinical studies of telemedicine (TM) programs for chronic illness have demonstrated mixed results ...

Nov 2020 33170109
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