AIMC Topic:
Data Mining

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The extraction of complex relationships and their conversion to biological expression language (BEL) overview of the BioCreative VI (2017) BEL track.

Database : the journal of biological databases and curation Jan 1, 2019
Knowledge of the molecular interactions of biological and chemical entities and their involvement in biological processes or clinical phenotypes is important for data interpretation. Unfortunately, this knowledge is mostly embedded in the literature ...
Vocabulary, Controlled Databases, Factual Neural Networks, Computer Data Mining
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Extraction from Medical Records.

Studies in health technology and informatics Jan 1, 2019
Despite using electronic medical records, free narrative text is still widely used for medical records. Such text cannot be analyzed by statistical tools and be proceed by decision support systems. To make data from texts available for such tasks a s...
Data Mining Electronic Health Records Language Natural Language Processing Algorithms
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Chemical-protein interaction extraction via contextualized word representations and multihead attention.

Database : the journal of biological databases and curation Jan 1, 2019
A rich source of chemical-protein interactions (CPIs) is locked in the exponentially growing biomedical literature. Automatic extraction of CPIs is a crucial task in biomedical natural language processing (NLP), which has great benefits for pharmacol...
Databases, Chemical Proteins Natural Language Processing Data Mining Neural Networks, Computer
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GIDB: a knowledge database for the automated curation and multidimensional analysis of molecular signatures in gastrointestinal cancer.

Database : the journal of biological databases and curation Jan 1, 2019
Gastrointestinal (GI) cancer is common, characterized by high mortality, and includes oesophagus, gastric, liver, bile duct, pancreas, rectal and colon cancers. The insufficient specificity and sensitivity of biomarkers is still a key clinical hindra...
Humans Biomarkers, Tumor Natural Language Processing Precision Medicine Data Curation Gastrointestinal Neoplasms Data Mining
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Engineering Bias in AI.

IEEE pulse Jan 1, 2019
After working at Apple designing circuits and signal processing algorithms for products including the first iPad, Timnit Gebru (Figure 1) received her Ph.D. from the Stanford Artificial Intelligence Laboratory in the area of computer vision. She rece...
Algorithms Databases, Factual Bias Humans Data Mining Ethics, Research Artificial Intelligence
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Automatic Human-like Mining and Constructing Reliable Genetic Association Database with Deep Reinforcement Learning.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2019
The increasing amount of scientific literature in biological and biomedical science research has created a challenge in continuous and reliable curation of the latest knowledge discovered, and automatic biomedical text-mining has been one of the answ...
Markov Chains Unified Medical Language System Knowledge Bases Data Mining Deep Learning Genetic Association Studies Databases, Genetic PubMed Computational Biology Decision Support Techniques Reproducibility of Results Humans Algorithms
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Big Data Cohort Extraction for Personalized Statin Treatment and Machine Learning.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2019
The creation of big clinical data cohorts for machine learning and data analysis require a number of steps from the beginning to successful completion. Similar to data set preprocessing in other fields, there is an initial need to complete data quali...
Humans Big Data Data Mining Hydroxymethylglutaryl-CoA Reductase Inhibitors Machine Learning Precision Medicine
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Ontology based text mining of gene-phenotype associations: application to candidate gene prediction.

Database : the journal of biological databases and curation Jan 1, 2019
Gene-phenotype associations play an important role in understanding the disease mechanisms which is a requirement for treatment development. A portion of gene-phenotype associations are observed mainly experimentally and made publicly available throu...
Databases, Genetic Phenotype Data Mining Genetic Association Studies Gene Ontology
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Machine-learning-based patient-specific prediction models for knee osteoarthritis.

Nature reviews. Rheumatology Jan 1, 2019
Osteoarthritis (OA) is an extremely common musculoskeletal disease. However, current guidelines are not well suited for diagnosing patients in the early stages of disease and do not discriminate patients for whom the disease might progress rapidly. T...
Aged, 80 and over Humans Machine Learning Male Risk Factors Early Diagnosis Clinical Decision-Making Models, Theoretical Disease Progression Osteoarthritis, Knee Aged Data Mining Female Precision Medicine Clinical Decision Rules
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Monitoring of Technology Adoption Using Web Content Mining of Location Information and Geographic Information Systems: A Case Study of Digital Breast Tomosynthesis.

JCO clinical cancer informatics Dec 1, 2018
PURPOSE: To our knowledge, integration of Web content mining of publicly available addresses with a geographic information system (GIS) has not been applied to the timely monitoring of medical technology adoption. Here, we explore the diffusion of a ...
Geographic Mapping Mammography Data Mining Humans Natural Language Processing New England Internet Machine Learning Female Biomedical Technology Geographic Information Systems
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