BioADAPT-MRC: adversarial learning-based domain adaptation improves biomedical machine reading comprehension task
Sign Up to like & getrecommendations! Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac508
Abstract: ABSTRACT Motivation Biomedical machine reading comprehension (biomedical-MRC) aims to comprehend complex biomedical narratives and assist healthcare professionals in retrieving information from them. The high performance of modern neural network-based MRC systems depends on high-quality, large-scale,… read more here.
Keywords: domain; machine reading; biomedical machine; bioadapt mrc ... See more keywords
Extracting seizure frequency from epilepsy clinic notes: a machine reading approach to natural language processing
Sign Up to like & getrecommendations! Published in 2022 at "Journal of the American Medical Informatics Association : JAMIA"
DOI: 10.1093/jamia/ocac018
Abstract: Abstract Objective Seizure frequency and seizure freedom are among the most important outcome measures for patients with epilepsy. In this study, we aimed to automatically extract this clinical information from unstructured text in clinical notes.… read more here.
Keywords: seizure frequency; reading approach; seizure; extracting seizure ... See more keywords
Enhancing Lexical-Based Approach With External Knowledge for Vietnamese Multiple-Choice Machine Reading Comprehension
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DOI: 10.1109/access.2020.3035701
Abstract: Although Vietnamese is the $17^{th}$ most popular native-speaker language in the world, there are not many research studies on Vietnamese machine reading comprehension (MRC), the task of understanding a text and answering questions about it.… read more here.
Keywords: lexical based; machine reading; multiple choice; reading comprehension ... See more keywords
cpgQA: A Benchmark Dataset for Machine Reading Comprehension Tasks on Clinical Practice Guidelines and a Case Study Using Transfer Learning
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3235265
Abstract: Biomedical machine reading comprehension (bio-MRC), a crucial task in natural language processing, is a vital application of a computer-assisted clinical decision support system. It can help clinicians extract critical information effortlessly for clinical decision-making by… read more here.
Keywords: practice guidelines; reading comprehension; clinical practice; dataset ... See more keywords
Identifying and Analyzing Topic Clusters in a Nutri-, Food-, and Diet-Proteomic Corpus Using Machine Reading
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DOI: 10.3390/nu15020270
Abstract: Nutrition affects the early stages of disease development, but the mechanisms remain poorly understood. High-throughput proteomic methods are being used to generate data and information on the effects of nutrients, foods, and diets on health… read more here.
Keywords: proteomic corpus; machine reading; food; identifying analyzing ... See more keywords