Latest AI and machine learning research in reimbursement for healthcare professionals.
BACKGROUND: Automatic extraction of morbid disease or conditions contained in Death Certificates is ...
INTRODUCTION: Left ventricular ejection fraction (LVEF) ā¤35%, as current significant implantable car...
OBJECTIVE: Electronic medical records (EMRs) are manually annotated by healthcare professionals and ...
BACKGROUND: Accurate information in provider directories are vital in health care including health i...
INTRODUCTION: The International Classification of Primary Care, Second version (ICPC-2) aligned with...
The Patient Health Questionnaire-9 (PHQ-9) is a validated instrument for assessing depression severi...
In this study, we suggest optimizing the methodology to determine the Cohesion Index (Icd) in order ...
Deep learning models (aka Deep Neural Networks) have revolutionized many fields including computer v...
We address the assignment of ICD-10 codes for causes of death by analyzing free-text descriptions in...
When electronic health record (EHR) data are used, multiple approaches may be available for measurin...
The objective of this study was to evaluate the effects of peroxisome proliferator-activated recepto...
This work focuses on data mining applied to the clinical documentation domain. Diagnostic terms (DTs...
In this study, we developed a novel unfixed-type experimental system that we call a '3-DOF servosphe...
In the present study, it has been shown that an unnecessary implantable cardioverter-defibrillator (...
BACKGROUND: Systematized Nomenclature of Medicine - Clinical Terms (SNOMED CT) has been designed as ...
BACKGROUND: There have been repeated initiatives to produce standard nosologies and terminologies fo...
BACKGROUND: In the United States, 795,000 people suffer strokes each year; 10-15Ā % of these strokes ...
OBJECTIVE: Natural language processing methods for medical auto-coding, or automatic generation of m...
Purpose. To assess the quality of life (QOL) as a predictor of volume reduction in women undergoing ...
BACKGROUND: Interoperable phenotyping algorithms, needed to identify patient cohorts meeting eligibi...
OBJECTIVE: The purpose of this study was to discuss the mode of increase in leg volume during comple...