AIMC Topic:
Data Mining

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Epistasis Detection Based on Epi-GTBN.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2021
Epistasis detection is a hot topic in bioinformatics due to its relevance to the detection of specific phenotypic traits and gene-gene interactions. Here, we present a step-by-step protocol to apply Epi-GTBN, a machine learning-based method based on ...
Humans Epistasis, Genetic Machine Learning Gene Regulatory Networks Polymorphism, Single Nucleotide Software Phenotype Genotype Models, Genetic Bayes Theorem Genetic Loci Data Mining Datasets as Topic
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Brief Survey on Machine Learning in Epistasis.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2021
In biology, the term "epistasis" indicates the effect of the interaction of a gene with another gene. A gene can interact with an independently sorted gene, located far away on the chromosome or on an entirely different chromosome, and this interacti...
Genome, Human Epistasis, Genetic Quantitative Trait, Heritable Inheritance Patterns Macular Degeneration Data Mining Alzheimer Disease Computational Biology Crohn Disease Plants Humans Machine Learning Genome-Wide Association Study Polymorphism, Single Nucleotide Phenotype Neoplasms
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Deep Learning Methods and Their Application to Nursing Workflows: Technology and Perspectives.

Computers, informatics, nursing : CIN Jan 1, 2021
Nursing Care Evidence-Based Nursing Deep Learning Workflow Data Mining Humans Technology
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Phenotypic clustering of heart failure with preserved ejection fraction reveals different rates of hospitalization.

Journal of cardiovascular medicine (Hagerstown, Md.) Jan 1, 2021
AIMS: Approximately 50% of patients with heart failure have preserved (≥50%) ejection fraction (HFpEF). Improved understanding of the phenotypic heterogeneity of HFpEF might facilitate development of targeted therapies and interventions.
Humans Female Hospitalization Aged Aged, 80 and over Databases, Factual Prognosis Retrospective Studies Administrative Claims, Healthcare Time Factors United States Age Factors Middle Aged Heart Failure Prevalence Male Data Mining Cluster Analysis Comorbidity Ventricular Function, Left Natural Language Processing Stroke Volume
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Using Neural Networks for Relation Extraction from Biomedical Literature.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2021
Using different sources of information to support automated extracting of relations between biomedical concepts contributes to the development of our understanding of biological systems. The primary comprehensive source of these relations is biomedic...
Databases, Factual Biomedical Research Publications Neural Networks, Computer Algorithms Data Mining Biological Ontologies
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Machine Learning for Biomedical Time Series Classification: From Shapelets to Deep Learning.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2021
With the biomedical field generating large quantities of time series data, there has been a growing interest in developing and refining machine learning methods that allow its mining and exploitation. Classification is one of the most important and c...
Machine Learning Biomedical Research Deep Learning Humans Data Mining
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Clinical concept extraction using transformers.

Journal of the American Medical Informatics Association : JAMIA Dec 9, 2020
OBJECTIVE: The goal of this study is to explore transformer-based models (eg, Bidirectional Encoder Representations from Transformers [BERT]) for clinical concept extraction and develop an open-source package with pretrained clinical models to facili...
Electronic Health Records Deep Learning Natural Language Processing Humans Data Mining Software Datasets as Topic
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Democratizing EHR analyses with FIDDLE: a flexible data-driven preprocessing pipeline for structured clinical data.

Journal of the American Medical Informatics Association : JAMIA Dec 9, 2020
OBJECTIVE: In applying machine learning (ML) to electronic health record (EHR) data, many decisions must be made before any ML is applied; such preprocessing requires substantial effort and can be labor-intensive. As the role of ML in health care gro...
Electronic Health Records Risk Assessment Hospital Mortality Machine Learning Databases, Factual Intensive Care Units Humans Data Mining Shock ROC Curve Data Management Respiratory Insufficiency
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Evaluation and Experimental Design in Data Mining and Machine Learning.

Big data Dec 1, 2020
Data Mining Machine Learning Research Design Periodicals as Topic
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Biomedical named entity recognition and linking datasets: survey and our recent development.

Briefings in bioinformatics Dec 1, 2020
Natural language processing (NLP) is widely applied in biological domains to retrieve information from publications. Systems to address numerous applications exist, such as biomedical named entity recognition (BNER), named entity normalization (NEN) ...
Information Storage and Retrieval Natural Language Processing PubMed Data Mining Databases, Factual Neural Networks, Computer Surveys and Questionnaires Software Computational Biology
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