Add to ORKGIntroduction—Prior studies identifying patients with inflammatory bowel disease (IBD) utilizing administrative codes have yielded inconsistent results. Our objective was to develop a robust electronic medical record (EMR) based model for classification of IBD leveraging the combination of codified data and information from clinical text notes using natural language processing (NLP)
The widespread use of “electronic health record systems (EHRs)” in health care provides a large amou...
AimsThis study aimed to conduct a bibliometric analysis of the relevant literature on the diagnosis ...
Artificial Intelligence (AI) and Machine Learning (ML) have shown great promise in the field of med...
available in PMC 2014 June 01Background: Previous studies identifying patients with inflammatory bo...
BACKGROUND: Natural Language Processing (NLP) systems can be used for specific Information Extractio...
BACKGROUND: A population-based database of inflammatory bowel disease (IBD) patients is invaluable t...
Background: The exploration of clinically relevant information in the free text of electronic health...
Lists of medication and condition concepts used for Crohn's disease incident case phenotyping as des...
Background and Aim We conducted a nationwide validation study of diagnostic algorithms to identify c...
Introduction: Whether data on International Classification of Diseases (ICD)-codes from the Swedish ...
Background: Inflammatory bowel disease (IBD) is a gastrointestinal chronic disease with an unpredict...
Background. Difficulty identifying patients in need of colorectal cancer (CRC) screening contributes...
to identify and describe all Inflammatory Bowel Disease (IBD), Celiac Disease (CD), and Chronic Kidn...
ObjectiveDelayed diagnosis of Kawasaki disease (KD) may lead to serious cardiac complications. We so...
Inflammatory bowel diseases (IBDs) are a group of disorders causing chronic inflammation of small in...
The widespread use of “electronic health record systems (EHRs)” in health care provides a large amou...
AimsThis study aimed to conduct a bibliometric analysis of the relevant literature on the diagnosis ...
Artificial Intelligence (AI) and Machine Learning (ML) have shown great promise in the field of med...
available in PMC 2014 June 01Background: Previous studies identifying patients with inflammatory bo...
BACKGROUND: Natural Language Processing (NLP) systems can be used for specific Information Extractio...
BACKGROUND: A population-based database of inflammatory bowel disease (IBD) patients is invaluable t...
Background: The exploration of clinically relevant information in the free text of electronic health...
Lists of medication and condition concepts used for Crohn's disease incident case phenotyping as des...
Background and Aim We conducted a nationwide validation study of diagnostic algorithms to identify c...
Introduction: Whether data on International Classification of Diseases (ICD)-codes from the Swedish ...
Background: Inflammatory bowel disease (IBD) is a gastrointestinal chronic disease with an unpredict...
Background. Difficulty identifying patients in need of colorectal cancer (CRC) screening contributes...
to identify and describe all Inflammatory Bowel Disease (IBD), Celiac Disease (CD), and Chronic Kidn...
ObjectiveDelayed diagnosis of Kawasaki disease (KD) may lead to serious cardiac complications. We so...
Inflammatory bowel diseases (IBDs) are a group of disorders causing chronic inflammation of small in...
The widespread use of “electronic health record systems (EHRs)” in health care provides a large amou...
AimsThis study aimed to conduct a bibliometric analysis of the relevant literature on the diagnosis ...
Artificial Intelligence (AI) and Machine Learning (ML) have shown great promise in the field of med...