AIMC Topic: Information Storage and Retrieval

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Deep neural model with self-training for scientific keyphrase extraction.

PloS one May 15, 2020
Scientific information extraction is a crucial step for understanding scientific publications. In this paper, we focus on scientific keyphrase extraction, which aims to identify keyphrases from scientific articles and classify them into predefined ca...
Natural Language Processing Publications Information Storage and Retrieval Deep Learning Models, Statistical Neural Networks, Computer
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Distributed representation and one-hot representation fusion with gated network for clinical semantic textual similarity.

BMC medical informatics and decision making Apr 30, 2020
BACKGROUND: Semantic textual similarity (STS) is a fundamental natural language processing (NLP) task which can be widely used in many NLP applications such as Question Answer (QA), Information Retrieval (IR), etc. It is a typical regression problem,...
Humans Natural Language Processing Information Storage and Retrieval Semantics Neural Networks, Computer Language
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Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records.

BMC medical informatics and decision making Apr 30, 2020
BACKGROUND: Capturing sentence semantics plays a vital role in a range of text mining applications. Despite continuous efforts on the development of related datasets and models in the general domain, both datasets and models are limited in biomedical...
Data Mining Information Storage and Retrieval Deep Learning PubMed Humans Electronic Health Records Language Machine Learning
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Analysis of Feature Extraction Methods for Prediction of 30-Day Hospital Readmissions.

Methods of information in medicine Apr 29, 2020
OBJECTIVES:  This article aims to determine possible improvements made by feature extraction methods to the machine learning prediction methods for predicting 30-day hospital readmissions.
Area Under Curve Patient Readmission Information Storage and Retrieval Algorithms Databases as Topic Humans Risk Factors Machine Learning
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Machine Learning Classification Algorithms to Predict aGvHD following Allo-HSCT: A Systematic Review.

Methods of information in medicine Apr 29, 2020
BACKGROUND:  The acute graft-versus-host disease (aGvHD) is the most important cause of mortality in patients receiving allogeneic hematopoietic stem cell transplantation. Given that it occurs at the stage of severe tissue damage, its diagnosis is la...
Graft vs Host Disease Information Storage and Retrieval Hematopoietic Stem Cell Transplantation Machine Learning Algorithms Transplantation, Homologous Humans
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Extracting Structured Genotype Information from Free-Text HLA Reports Using a Rule-Based Approach.

Journal of Korean medical science Mar 30, 2020
BACKGROUND: Human leukocyte antigen (HLA) typing is important for transplant patients to prevent a severe mismatch reaction, and the result can also support the diagnosis of various disease or prediction of drug side effects. However, such secondary ...
Seoul Data Warehousing Histocompatibility Testing HLA Antigens Information Storage and Retrieval Humans Algorithms Genotype Natural Language Processing Electronic Health Records
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Concept based auto-assignment of healthcare questions to domain experts in online Q&A communities.

International journal of medical informatics Mar 6, 2020
BACKGROUND: Healthcare consumers are increasingly turning to the online health Q&A communities to seek answers for their questions because current general search engines are unable to digest complex health-related questions. Q&A communities are platf...
Delivery of Health Care Surveys and Questionnaires Natural Language Processing Humans Algorithms Search Engine Semantics Unified Medical Language System Consumer Health Information Expert Systems Information Storage and Retrieval
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Relation Extraction from Clinical Narratives Using Pre-trained Language Models.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
Natural language processing (NLP) is useful for extracting information from clinical narratives, and both traditional machine learning methods and more-recent deep learning methods have been successful in various clinical NLP tasks. These methods oft...
Semantics Datasets as Topic Machine Learning Information Storage and Retrieval Humans Narration Natural Language Processing
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Learning Inter-Sentence, Disorder-Centric, Biomedical Relationships from Medical Literature.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
Relationships between disorders and their associated tests, treatments and symptoms underpin essential information needs of clinicians and can support biomedical knowledge bases, information retrieval and ultimately clinical decision support. These r...
Natural Language Processing Publications Disease Vocabulary, Controlled Information Storage and Retrieval Humans Deep Learning
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Leveraging Contextual Information in Extracting Long Distance Relations from Clinical Notes.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
Relation extraction from biomedical text is important for clinical decision support applications. In post-marketing pharmacovigilance, for example, Adverse Drug Events (ADE) relate medical problems to the drugs that caused them and were the focus of ...
Datasets as Topic Information Storage and Retrieval Product Surveillance, Postmarketing Medical Records Natural Language Processing Drug-Related Side Effects and Adverse Reactions Humans Pharmacovigilance Deep Learning
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