AIMC Topic: Datasets as Topic

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Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset.

Journal of digital imaging Dec 1, 2018
The aim of this study is to evaluate the role of convolutional neural network (CNN) in predicting axillary lymph node metastasis, using a breast MRI dataset. An institutional review board (IRB)-approved retrospective review of our database from 1/201...
Neural Networks, Computer Algorithms Retrospective Studies Humans Magnetic Resonance Imaging Breast Neoplasms Axilla Image Interpretation, Computer-Assisted Lymph Nodes Datasets as Topic Lymphatic Metastasis
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Automated mapping of laboratory tests to LOINC codes using noisy labels in a national electronic health record system database.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2018
OBJECTIVE: Standards such as the Logical Observation Identifiers Names and Codes (LOINC®) are critical for interoperability and integrating data into common data models, but are inconsistently used. Without consistent mapping to standards, clinical d...
Algorithms United States Clinical Laboratory Information Systems Logical Observation Identifiers Names and Codes Machine Learning Data Warehousing Datasets as Topic Health Information Interoperability Medical Records Systems, Computerized
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A chronological pharmacovigilance network analytics approach for predicting adverse drug events.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2018
OBJECTIVES: This study extends prior research by combining a chronological pharmacovigilance network approach with machine-learning (ML) techniques to predict adverse drug events (ADEs) based on the drugs' similarities in terms of the proteins they t...
Adverse Drug Reaction Reporting Systems Computer Communication Networks Algorithms Humans Drug-Related Side Effects and Adverse Reactions Machine Learning Models, Theoretical Pharmacovigilance Datasets as Topic Drug Interactions
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Informatics, Data Science, and Artificial Intelligence.

JAMA Sep 18, 2018
Artificial Intelligence Electronic Health Records Biomedical Research Humans Datasets as Topic Medical Informatics
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Will Machine Learning Enable Us to Finally Cut the Gordian Knot of Schizophrenia.

Schizophrenia bulletin Aug 20, 2018
Humans Machine Learning Biomedical Research Schizophrenia Datasets as Topic
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Assessing Deep and Shallow Learning Methods for Quantitative Prediction of Acute Chemical Toxicity.

Toxicological sciences : an official journal of the Society of Toxicology Aug 1, 2018
Animal-based methods for assessing chemical toxicity are struggling to meet testing demands. In silico approaches, including machine-learning methods, are promising alternatives. Recently, deep neural networks (DNNs) were evaluated and reported to ou...
Mice Machine Learning Quantitative Structure-Activity Relationship Computational Biology Animals Rabbits Toxicity Tests Rats Neural Networks, Computer Deep Learning Datasets as Topic
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Design and implementation of a standardized framework to generate and evaluate patient-level prediction models using observational healthcare data.

Journal of the American Medical Informatics Association : JAMIA Aug 1, 2018
OBJECTIVE: To develop a conceptual prediction model framework containing standardized steps and describe the corresponding open-source software developed to consistently implement the framework across computational environments and observational heal...
Health Services Needs and Demand Observation Male Risk Assessment Models, Theoretical Treatment Outcome Observational Studies as Topic Datasets as Topic Prognosis Female Adult Humans Machine Learning Software
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AI can be sexist and racist - it's time to make it fair.

Nature Jul 1, 2018
Race Factors Social Justice Humans Datasets as Topic Machine Learning Neural Networks, Computer Natural Language Processing Artificial Intelligence Racism Female Sex Factors Male Sexism
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Applying Machine-Learning Techniques to Build Self-reported Depression Prediction Models.

Computers, informatics, nursing : CIN Jul 1, 2018
Female Aged Aged, 80 and over Humans Machine Learning Logistic Models Mass Screening Self Report Datasets as Topic Male Middle Aged Depression
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UMLS to DBPedia link discovery through circular resolution.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2018
OBJECTIVE: The goal of this work is to map Unified Medical Language System (UMLS) concepts to DBpedia resources using widely accepted ontology relations from the Simple Knowledge Organization System (skos:exactMatch, skos:closeMatch) and from the Res...
Cloud Computing Semantic Web Medical Informatics Applications Datasets as Topic Unified Medical Language System Vocabulary, Controlled Algorithms Knowledge Bases
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