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Medical Records

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Leveraging a Joint learning Model to Extract Mixture Symptom Mentions from Traditional Chinese Medicine Clinical Notes.

BioMed research international
This paper addresses the mixture symptom mention problem which appears in the structuring of Traditional Chinese Medicine (TCM). We accomplished this by disassembling mixture symptom mentions with entity relation extraction. Over 2,200 clinical notes...

Hospital Readmission Prediction via Keyword Extraction and Sentiment Analysis on Clinical Notes.

Studies in health technology and informatics
Unplanned hospital readmission is a problem that affects hospitals worldwide and is due to different factors. The identification of those factors can help determine which patients are at greater risk of hospital readmission for early intervention. Ou...

Use of artificial intelligence to identify data elements for The Japanese Orthopaedic Association National Registry from operative records.

Journal of orthopaedic science : official journal of the Japanese Orthopaedic Association
BACKGROUND: The Japanese Orthopaedic Association National Registry (JOANR) was recently launched in Japan and is expected to improve the quality of medical care. However, surgeons must register ten detailed features for total hip arthroplasty, which ...

Ontology-based feature engineering in machine learning workflows for heterogeneous epilepsy patient records.

Scientific reports
Biomedical ontologies are widely used to harmonize heterogeneous data and integrate large volumes of clinical data from multiple sources. This study analyzed the utility of ontologies beyond their traditional roles, that is, in addressing a challengi...

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Ugeskrift for laeger
INTRODUCTION: The use of abbreviations in patient records in Danish hospitals is extensive. The purpose of this study was to investigate the use of abbreviations, how they affect the comprehension, and how much time was saved writing abbreviations.

An Alternative Application of Natural Language Processing to Express a Characteristic Feature of Diseases in Japanese Medical Records.

Methods of information in medicine
BACKGROUND: Owing to the linguistic situation, Japanese natural language processing (NLP) requires morphological analyses for word segmentation using dictionary techniques.

Creation and Adoption of Large Language Models in Medicine.

JAMA
IMPORTANCE: There is increased interest in and potential benefits from using large language models (LLMs) in medicine. However, by simply wondering how the LLMs and the applications powered by them will reshape medicine instead of getting actively in...

Leveraging Summary Guidance on Medical Report Summarization.

IEEE journal of biomedical and health informatics
This study presents three deidentified large medical text datasets, named DISCHARGE, ECHO and RADIOLOGY, which contain 50 K, 16 K and 378 K pairs of report and summary that are derived from MIMIC-III, respectively. We implement convincing baselines o...