AIMC Topic: Information Storage and Retrieval

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Effect of incremental feature enrichment on healthcare text classification system: A machine learning paradigm.

Computer methods and programs in biomedicine Feb 1, 2019
BACKGROUND AND OBJECTIVE: Healthcare tweets are particularly challenging due to its sparse layout and its limited character size. Compared to previous method based on "bag of words" (BOW) model, this study uniquely identifies the enrichment protocol ...
Machine Learning Algorithms Delivery of Health Care Datasets as Topic Information Storage and Retrieval Semantics Models, Theoretical Support Vector Machine Social Media
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An automated data verification approach for improving data quality in a clinical registry.

Computer methods and programs in biomedicine Jan 31, 2019
BACKGROUND AND OBJECTIVE: The quality of data is crucial for clinical registry studies as it impacts credibility. In the regular practice of most such studies, a vulnerability arises from researchers recording data on paper-based case report forms (C...
Algorithms Databases, Factual Electronic Health Records Humans Machine Learning Natural Language Processing Registries Coronary Artery Disease Language Reproducibility of Results Regression Analysis Programming Languages Information Storage and Retrieval Data Accuracy Medical Informatics Pattern Recognition, Automated Automation
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Machine Learning and Data Analytics in Pervasive Health.

Methods of information in medicine Jan 24, 2019
INTRODUCTION: This accompanying editorial provides a brief introduction to this focus theme, focused on "Machine Learning and Data Analytics in Pervasive Health".
Data Mining Prognosis Information Storage and Retrieval Cognitive Dysfunction Humans Medical Informatics Urinary Bladder Neoplasms Machine Learning
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GOTrapper: a tool to navigate through branches of gene ontology hierarchy.

BMC bioinformatics Jan 11, 2019
BACKGROUND: Gene Ontology (GO) is a useful resource of controlled vocabulary that provides information about annotated genes. Based on such resource, finding the biological function is useful for biologists to come up with different hypotheses and he...
High-Throughput Nucleotide Sequencing Humans Information Storage and Retrieval Software Gene Ontology Gene Expression Profiling User-Computer Interface Computational Biology
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Using natural language processing to extract clinically useful information from Chinese electronic medical records.

International journal of medical informatics Jan 7, 2019
AIMS: To develop a natural language processing (NLP)-based algorithm for extracting clinically useful information for patients with hepatocellular carcinoma (HCC) from Chinese electronic medical records (EMRs) and use these data for the assessment of...
Information Storage and Retrieval Algorithms Electronic Health Records China Liver Neoplasms Carcinoma, Hepatocellular Natural Language Processing Humans
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Big Data Analysis and Machine Learning in Intensive Care Units.

Medicina intensiva Dec 24, 2018
Intensive care is an ideal environment for the use of Big Data Analysis (BDA) and Machine Learning (ML), due to the huge amount of information processed and stored in electronic format in relation to such care. These tools can improve our clinical re...
Critical Care Information Dissemination Information Storage and Retrieval Randomized Controlled Trials as Topic Natural Language Processing Data Anonymization Databases, Factual Electronic Health Records Humans Retrospective Studies Big Data Machine Learning Intensive Care Units Data Analysis
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NMR-STAR: comprehensive ontology for representing, archiving and exchanging data from nuclear magnetic resonance spectroscopic experiments.

Journal of biomolecular NMR Dec 22, 2018
The growth of the biological nuclear magnetic resonance (NMR) field and the development of new experimental technology have mandated the revision and enlargement of the NMR-STAR ontology used to represent experiments, spectral and derived data, and s...
Software Information Storage and Retrieval Biological Ontologies Vocabulary, Controlled Nuclear Magnetic Resonance, Biomolecular
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A comparative quantitative study of utilizing artificial intelligence on electronic health records in the USA and China during 2008-2017.

BMC medical informatics and decision making Dec 7, 2018
BACKGROUND: The application of artificial intelligence techniques for processing electronic health records data plays increasingly significant role in advancing clinical decision support. This study conducts a quantitative comparison on the research ...
United States Artificial Intelligence Bibliometrics Electronic Health Records PubMed Taiwan China Humans Information Storage and Retrieval
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A prototype of knowledge-based patient safety event reporting and learning system.

BMC medical informatics and decision making Dec 7, 2018
BACKGROUND: Patient falls, the most common safety events resulting in adverse patient outcomes, impose significant costs and have become a great burden to the healthcare community. Current patient fall reporting systems remain in the early stage that...
Knowledge Bases Information Storage and Retrieval Humans Patient Safety Accidental Falls
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FABLE: A Semi-Supervised Prescription Information Extraction System.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Prescription information is an important component of electronic health records (EHRs). This information contains detailed medication instructions that are crucial for patients' well-being and is often detailed in the narrative portions of EHRs. As a...
Information Storage and Retrieval Drug Prescriptions Patient Discharge Summaries Supervised Machine Learning Datasets as Topic Humans Electronic Health Records Natural Language Processing
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