AIMC Topic: Data Mining

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Value-based Healthcare: Can Artificial Intelligence Provide Value in Orthopaedic Surgery?

Clinical orthopaedics and related research Aug 1, 2019
Orthopedic Procedures Orthopedics Value-Based Health Insurance Health Care Costs Therapy, Computer-Assisted Decision Support Techniques Humans Diagnosis, Computer-Assisted Artificial Intelligence Data Mining Decision Support Systems, Clinical Cost-Benefit Analysis
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Toward Complete Structured Information Extraction from Radiology Reports Using Machine Learning.

Journal of digital imaging Aug 1, 2019
Unstructured and semi-structured radiology reports represent an underutilized trove of information for machine learning (ML)-based clinical informatics applications, including abnormality tracking systems, research cohort identification, point-of-car...
Natural Language Processing Data Mining Radiology Information Systems Machine Learning Electronic Health Records Humans
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Drug knowledge bases and their applications in biomedical informatics research.

Briefings in bioinformatics Jul 19, 2019
Recent advances in biomedical research have generated a large volume of drug-related data. To effectively handle this flood of data, many initiatives have been taken to help researchers make good use of them. As the results of these initiatives, many...
Computational Biology Drug Development Social Media Machine Learning Algorithms Drug-Related Side Effects and Adverse Reactions Knowledge Bases Data Mining Drug Repositioning Drug Interactions Humans Pharmacogenomic Testing Systems Integration Databases, Pharmaceutical
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Named Entity Recognition and Classification for Medical Prospectuses.

Studies in health technology and informatics Jul 4, 2019
Structuring and processing natural language is a growing challenge in the medical field. Researchers are looking for new ways to extract knowledge to create databases and applications to help doctors treat patients and minimize medical errors. A very...
Data Mining Humans Medical Errors Language Natural Language Processing
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An Information Extraction Algorithm for Detecting Adverse Events in Neurosurgery Using Documents Written in a Natural Rich-in-Morphology Language.

Studies in health technology and informatics Jul 4, 2019
Rich-in-morphology language, such as Russian, present a challenge for extraction of professional medical information. In this paper, we report on our solution to identify adverse events (complications) in neurosurgery based on natural language proces...
Natural Language Processing Neurosurgical Procedures Information Storage and Retrieval Russia Data Mining Humans Algorithms Electronic Health Records
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Machine Learning for Health Services Researchers.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research Jul 1, 2019
BACKGROUND: Machine learning is increasingly used to predict healthcare outcomes, including cost, utilization, and quality.
Models, Economic Quality Indicators, Health Care Cost-Benefit Analysis Health Services Research Administrative Claims, Healthcare Clinical Decision-Making Health Care Costs Humans Models, Statistical Data Mining Machine Learning
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An investigation of single-domain and multidomain medication and adverse drug event relation extraction from electronic health record notes using advanced deep learning models.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2019
OBJECTIVE: We aim to evaluate the effectiveness of advanced deep learning models (eg, capsule network [CapNet], adversarial training [ADV]) for single-domain and multidomain relation extraction from electronic health record (EHR) notes.
Data Mining Deep Learning Natural Language Processing Drug-Related Side Effects and Adverse Reactions Humans Electronic Health Records
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A Text Mining Pipeline Using Active and Deep Learning Aimed at Curating Information in Computational Neuroscience.

Neuroinformatics Jul 1, 2019
The curation of neuroscience entities is crucial to ongoing efforts in neuroinformatics and computational neuroscience, such as those being deployed in the context of continuing large-scale brain modelling projects. However, manually sifting through ...
Deep Learning Neurosciences Data Mining
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Comment on: "Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts".

Journal of the American Medical Informatics Association : JAMIA Jun 1, 2019
Natural Language Processing Humans Drug-Related Side Effects and Adverse Reactions Pharmacovigilance Deep Learning Neural Networks, Computer Data Mining Social Media Datasets as Topic
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Real-World Evidence, Causal Inference, and Machine Learning.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research May 1, 2019
The current focus on real world evidence (RWE) is occurring at a time when at least two major trends are converging. First, is the progress made in observational research design and methods over the past decade. Second, the development of numerous la...
Data Mining Epidemiology Algorithms Health Services Research Humans Databases, Factual Machine Learning Causality
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