AIMC Topic:
Data Mining

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Developing a Prototype Knowledge-Based System for Diagnosis and Treatment of Diabetes Using Data Mining Techniques.

Ethiopian journal of health sciences Jan 1, 2020
BACKGROUND: Diabetes is a disease that affects the body's ability to produce or use insulin. A total of 425 million people are suffering from diabetes in the world. Of this, more than 16 million people live in the Africa Region, which is estimated to...
Proof of Concept Study Humans Africa Knowledge Bases Data Mining Data Accuracy Diabetes Mellitus Decision Trees
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Methods of Computational Interactomics for Investigating Interactions of Human Proteoforms.

Biochemistry. Biokhimiia Jan 1, 2020
Human genome contains ca. 20,000 protein-coding genes that could be translated into millions of unique protein species (proteoforms). Proteoforms coded by a single gene often have different functions, which implies different protein partners. By inte...
Humans Protein Interaction Maps Computational Biology Machine Learning Databases, Protein Proteomics Proteome Data Mining
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Automating Clinical Chart Review: An Open-Source Natural Language Processing Pipeline Developed on Free-Text Radiology Reports From Patients With Glioblastoma.

JCO clinical cancer informatics Jan 1, 2020
PURPOSE: The aim of this study was to develop an open-source natural language processing (NLP) pipeline for text mining of medical information from clinical reports. We also aimed to provide insight into why certain variables or reports are more suit...
Medical Records Systems, Computerized Natural Language Processing Automation Glioblastoma Neuroimaging Humans Data Mining Radiology Research Report
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Bio-AnswerFinder: a system to find answers to questions from biomedical texts.

Database : the journal of biological databases and curation Jan 1, 2020
The ever accelerating pace of biomedical research results in corresponding acceleration in the volume of biomedical literature created. Since new research builds upon existing knowledge, the rate of increase in the available knowledge encoded in biom...
Biomedical Research Natural Language Processing Information Storage and Retrieval Data Mining Humans Neural Networks, Computer
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Integrating blockchain technology with artificial intelligence for cardiovascular medicine.

Nature reviews. Cardiology Jan 1, 2020
Artificial intelligence (AI) holds promise for cardiovascular medicine but is limited by a lack of large, heterogeneous and granular data sets. Blockchain provides secure interoperability between siloed stakeholders and centralized data sources. We d...
Cardiovascular Diseases Diagnosis, Computer-Assisted Data Mining Artificial Intelligence Decision Support Techniques Systems Integration Blockchain Health Information Management Therapy, Computer-Assisted Humans
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Knowledge Discovery With Machine Learning for Hospital-Acquired Catheter-Associated Urinary Tract Infections.

Computers, informatics, nursing : CIN Jan 1, 2020
Massive generation of health-related data has been key in enabling the big data science initiative to gain new insights in healthcare. Nursing can benefit from this era of big data science, as there is a growing need for new discoveries from large qu...
Humans Urinary Tract Infections Hospitals Machine Learning Knowledge Discovery Data Mining Electronic Health Records Support Vector Machine Catheter-Related Infections
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A Drug Decision Support System for Developing a Successful Drug Candidate Using Machine Learning Techniques.

Current computer-aided drug design Jan 1, 2020
BACKGROUND: Virtual screening of candidate drug molecules using machine learning techniques plays a key role in pharmaceutical industry to design and discovery of new drugs. Computational classification methods can determine drug types according to t...
Drug Discovery Data Mining Humans Neural Networks, Computer Machine Learning Drug Design
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CoCoScore: context-aware co-occurrence scoring for text mining applications using distant supervision.

Bioinformatics (Oxford, England) Jan 1, 2020
MOTIVATION: Information extraction by mining the scientific literature is key to uncovering relations between biomedical entities. Most existing approaches based on natural language processing extract relations from single sentence-level co-mentions,...
Humans Natural Language Processing Publications Data Mining Computational Biology Proteins
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How Artificial Intelligence Will Change Medicine.

Nature Dec 1, 2019
Datasets as Topic Deep Learning Drug Industry Medicine United States Humans Data Mining Diagnostic Imaging Biomedical Research Artificial Intelligence United States Food and Drug Administration Drug Discovery
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Extracting entities with attributes in clinical text via joint deep learning.

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
OBJECTIVE: Extracting clinical entities and their attributes is a fundamental task of natural language processing (NLP) in the medical domain. This task is typically recognized as 2 sequential subtasks in a pipeline, clinical entity or attribute reco...
Humans Electronic Health Records Deep Learning Datasets as Topic Natural Language Processing Data Mining
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