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Information Technology

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

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Showing 1387-1407 of 4,571 articles
Labeling for Big Data in radiation oncology: The Radiation Oncology Structures ontology.

PURPOSE: Leveraging Electronic Health Records (EHR) and Oncology Information Systems (OIS) has great...

Jan 2018 29351341
The eXtensible ontology development (XOD) principles and tool implementation to support ontology interoperability.

Ontologies are critical to data/metadata and knowledge standardization, sharing, and analysis. With ...

Jan 2018 29329592
Delirium Prediction using Machine Learning Models on Preoperative Electronic Health Records Data.

Electronic Health Records (EHR) are mainly designed to record relevant patient information during th...

Jan 2018 30393788
Harnessing electronic medical records to advance research on multiple sclerosis.

BACKGROUND: Electronic medical records (EMR) data are increasingly used in research, but no studies ...

Jan 2018 29310490
Improving the interoperability of biomedical ontologies with compound alignments.

BACKGROUND: Ontologies are commonly used to annotate and help process life sciences data. Although t...

Jan 2018 29316968
Prediction of venous thromboembolism using semantic and sentiment analyses of clinical narratives.

Venous thromboembolism (VTE) is the third most common cardiovascular disorder. It affects people of ...

Jan 2018 29353160
How Confounder Strength Can Affect Allocation of Resources in Electronic Health Records.

When electronic health record (EHR) data are used, multiple approaches may be available for measurin...

Jan 2018 29618960
Classifying clinical notes with pain assessment using machine learning.

Pain is a significant public health problem, affecting millions of people in the USA. Evidence has h...

Dec 2017 29280092
Automatic Methods to Extract New York Heart Association Classification from Clinical Notes.

Cardiac Resynchronization Therapy (CRT) is an established pacing therapy for heart failure patients....

Dec 2017 30034925
Estimating Local Costs Associated With Clostridium difficile Infection Using Machine Learning and Electronic Medical Records.

BACKGROUND Reported per-patient costs of Clostridium difficile infection (CDI) vary by 2 orders of m...

Nov 2017 29103378
Efficient k-NN Implementation for Real-Time Detection of Cough Events in Smartphones.

The potential  of telemedicine in respiratory health care has not been completely unveiled in part d...

Nov 2017 29990219
Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis.

The past decade has seen an explosion in the amount of digital information stored in electronic heal...

Oct 2017 29989977
Querying clinical data in HL7 RIM based relational model with morph-RDB.

BACKGROUND: Semantic interoperability is essential when carrying out post-genomic clinical trials wh...

Oct 2017 28982381
Design of an extensive information representation scheme for clinical narratives.

BACKGROUND: Knowledge representation frameworks are essential to the understanding of complex biomed...

Sep 2017 28893314
Combining Biomarkers with EMR Data to Identify Patients in Different Phases of Sepsis.

Sepsis is a leading cause of death and is the most expensive condition to treat in U.S. hospitals. D...

Sep 2017 28883645
Word2Vec inversion and traditional text classifiers for phenotyping lupus.

BACKGROUND: Identifying patients with certain clinical criteria based on manual chart review of doct...

Aug 2017 28830409
TEPAPA: a novel in silico feature learning pipeline for mining prognostic and associative factors from text-based electronic medical records.

Vast amounts of clinically relevant text-based variables lie undiscovered and unexploited in electro...

Jul 2017 28761061
A cascaded approach for Chinese clinical text de-identification with less annotation effort.

With rapid adoption of Electronic Health Records (EHR) in China, an increasing amount of clinical da...

Jul 2017 28756160
Predicting all-cause risk of 30-day hospital readmission using artificial neural networks.

Avoidable hospital readmissions not only contribute to the high costs of healthcare in the US, but a...

Jul 2017 28708848
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