Latest AI and machine learning research in reimbursement for healthcare professionals.
BACKGROUND AND OBJECTIVE: This work deals with clinical text mining, a field of Natural Language Pro...
Symptoms are common in patients on maintenance hemodialysis but identification is challenging. New i...
The International Classification of Diseases (ICD) not only serves as the bedrock for health statist...
BACKGROUND: Balance impairments are common in patients with infratentorial stroke. Although robot-as...
Many animals use olfactory information to search for feeding areas and other individuals in real tim...
BACKGROUND AND OBJECTIVE: Code assignment is of paramount importance in many levels in modern hospit...
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...
Automatic ICD-10 coding is an unresolved challenge in terms of Machine Learning tasks. Despite hospi...
Irinotecan (CPT-11) is a drug used against a wide variety of tumors, which can cause severe toxicity...
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...
ICD-9 (the Ninth Revision of International Classification of Diseases) is widely used to describe a ...
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...