AIMC Topic: Datasets as Topic

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Humanizing Artificial Intelligence.

JAMA Jan 1, 2019
Datasets as Topic Decision Making, Computer-Assisted Attitude to Computers Humans Artificial Intelligence Patient Care Management
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Questions for Artificial Intelligence in Health Care.

JAMA Jan 1, 2019
Datasets as Topic Decision Making, Computer-Assisted Patient Care Management Humans Artificial Intelligence
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Expert-level sleep scoring with deep neural networks.

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2018
OBJECTIVES: Scoring laboratory polysomnography (PSG) data remains a manual task of visually annotating 3 primary categories: sleep stages, sleep disordered breathing, and limb movements. Attempts to automate this process have been hampered by the com...
Machine Learning Electroencephalography Sleep Apnea Syndromes Humans Neural Networks, Computer Classification Polysomnography Sleep Stages Models, Biological Sleep 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...
Lymph Nodes Lymphatic Metastasis Magnetic Resonance Imaging Axilla Image Interpretation, Computer-Assisted Datasets as Topic Humans Neural Networks, Computer Algorithms Retrospective Studies Breast Neoplasms
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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...
Data Warehousing United States Clinical Laboratory Information Systems Logical Observation Identifiers Names and Codes Datasets as Topic Health Information Interoperability Medical Records Systems, Computerized Machine Learning Algorithms
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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...
Drug Interactions Drug-Related Side Effects and Adverse Reactions Pharmacovigilance Datasets as Topic Adverse Drug Reaction Reporting Systems Computer Communication Networks Machine Learning Algorithms Models, Theoretical Humans
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Informatics, Data Science, and Artificial Intelligence.

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

Schizophrenia bulletin Aug 20, 2018
Humans Biomedical Research Machine Learning 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...
Datasets as Topic Neural Networks, Computer Quantitative Structure-Activity Relationship Machine Learning Toxicity Tests Animals Rats Deep Learning Rabbits Mice Computational Biology
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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...
Datasets as Topic Health Services Needs and Demand Observation Models, Theoretical Treatment Outcome Prognosis Observational Studies as Topic Female Male Adult Risk Assessment Humans Machine Learning Software
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