AIMC Journal:
Journal of the American Medical Informatics Association : JAMIA

Showing 451 to 460 of 493 articles

Machine learning for psychiatric patient triaging: an investigation of cascading classifiers.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2018
OBJECTIVE: Develop an approach, One-class-at-a-time, for triaging psychiatric patients using machine learning on textual patient records. Our approach aims to automate the triaging process and reduce expert effort while providing high classification ...
Patient Acuity Pattern Recognition, Automated Classification Reproducibility of Results Triage Medical Records Humans Machine Learning Algorithms Decision Support Techniques Mental Disorders
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Developing and maintaining clinical decision support using clinical knowledge and machine learning: the case of order sets.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2018
Development and maintenance of order sets is a knowledge-intensive task for off-the-shelf machine-learning algorithms alone. We hypothesize that integrating clinical knowledge with machine learning can facilitate effective development and maintenance...
Decision Support Systems, Clinical Workload Medical Order Entry Systems Humans Machine Learning
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Data science and artificial intelligence to improve clinical practice and research.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2018
Data Science Artificial Intelligence Pattern Recognition, Automated Biomedical Research
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Mechanistic machine learning: how data assimilation leverages physiologic knowledge using Bayesian inference to forecast the future, infer the present, and phenotype.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2018
We introduce data assimilation as a computational method that uses machine learning to combine data with human knowledge in the form of mechanistic models in order to forecast future states, to impute missing data from the past by smoothing, and to i...
Machine Learning Models, Biological Phenotype Data Mining Blood Glucose Humans Blood Glucose Self-Monitoring Normal Distribution Regression Analysis Insulin Bayes Theorem Diabetes Mellitus, Type 2
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Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2018
OBJECTIVE: We executed the Social Media Mining for Health (SMM4H) 2017 shared tasks to enable the community-driven development and large-scale evaluation of automatic text processing methods for the classification and normalization of health-related ...
Pharmacovigilance Support Vector Machine Drug-Related Side Effects and Adverse Reactions Social Media Data Mining Natural Language Processing Humans Neural Networks, Computer
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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...
United States Clinical Laboratory Information Systems Logical Observation Identifiers Names and Codes Datasets as Topic Health Information Interoperability Machine Learning Algorithms Medical Records Systems, Computerized Data Warehousing
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3D deep learning for detecting pulmonary nodules in CT scans.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2018
OBJECTIVE: To demonstrate and test the validity of a novel deep-learning-based system for the automated detection of pulmonary nodules.
Lung Radiographic Image Interpretation, Computer-Assisted Diagnosis, Computer-Assisted Deep Learning ROC Curve Multiple Pulmonary Nodules Solitary Pulmonary Nodule Humans Tomography, X-Ray Computed Sensitivity and Specificity
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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...
Computer Communication Networks Drug Interactions Drug-Related Side Effects and Adverse Reactions Pharmacovigilance Datasets as Topic Adverse Drug Reaction Reporting Systems Machine Learning Algorithms Models, Theoretical Humans
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Learning predictive models of drug side-effect relationships from distributed representations of literature-derived semantic predications.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2018
OBJECTIVE: The aim of this work is to leverage relational information extracted from biomedical literature using a novel synthesis of unsupervised pretraining, representational composition, and supervised machine learning for drug safety monitoring.
Natural Language Processing Supervised Machine Learning Drug-Related Side Effects and Adverse Reactions Humans Product Surveillance, Postmarketing Databases, Bibliographic Data Mining Pharmacovigilance Semantics
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Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2018
OBJECTIVE: To conduct a systematic review of deep learning models for electronic health record (EHR) data, and illustrate various deep learning architectures for analyzing different data sources and their target applications. We also highlight ongoin...
Humans Disease Electronic Health Records Neural Networks, Computer Deep Learning Prognosis Data Anonymization
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