AIMC Topic: Data Mining

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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...
Artificial Intelligence Decision Support Techniques Cardiovascular Diseases Humans Therapy, Computer-Assisted Systems Integration Blockchain Diagnosis, Computer-Assisted Data Mining Health Information Management
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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...
Catheter-Related Infections Urinary Tract Infections Data Mining Knowledge Discovery Humans Machine Learning Electronic Health Records Hospitals Support Vector Machine
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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 Design Drug Discovery Data Mining Neural Networks, Computer Machine Learning Humans
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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,...
Natural Language Processing Publications Data Mining Humans Computational Biology Proteins
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How Artificial Intelligence Will Change Medicine.

Nature Dec 1, 2019
United States Food and Drug Administration Datasets as Topic Drug Industry Diagnostic Imaging Data Mining Artificial Intelligence Medicine Biomedical Research Drug Discovery Deep Learning United States Humans
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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...
Datasets as Topic Humans Electronic Health Records Deep Learning Natural Language Processing Data Mining
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Cohort selection for clinical trials: n2c2 2018 shared task track 1.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Track 1 of the 2018 National NLP Clinical Challenges shared tasks focused on identifying which patients in a corpus of longitudinal medical records meet and do not meet identified selection criteria.
Datasets as Topic Natural Language Processing Clinical Trials as Topic Humans Patient Selection Machine Learning Data Mining
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Cohort selection for clinical trials using deep learning models.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: The goal of the 2018 n2c2 shared task on cohort selection for clinical trials (track 1) is to identify which patients meet the selection criteria for clinical trials. Cohort selection is a particularly demanding task to which natural langu...
Data Mining Humans Neural Networks, Computer Clinical Trials as Topic Natural Language Processing Deep Learning Patient Selection
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Evaluating shallow and deep learning strategies for the 2018 n2c2 shared task on clinical text classification.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Automated clinical phenotyping is challenging because word-based features quickly turn it into a high-dimensional problem, in which the small, privacy-restricted, training datasets might lead to overfitting. Pretrained embeddings might sol...
Humans Logistic Models Neural Networks, Computer Classification Natural Language Processing Machine Learning Data Mining Patient Selection Deep Learning Clinical Trials as Topic
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Real world evidence in cardiovascular medicine: ensuring data validity in electronic health record-based studies.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: With growing availability of digital health data and technology, health-related studies are increasingly augmented or implemented using real world data (RWD). Recent federal initiatives promote the use of RWD to make clinical assertions th...
Machine Learning Retrospective Studies Electronic Health Records Cardiovascular Diseases Natural Language Processing Information Storage and Retrieval Humans Artificial Intelligence Cardiology Data Mining Datasets as Topic
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