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

Showing 361 to 370 of 493 articles

Classifying non-small cell lung cancer types and transcriptomic subtypes using convolutional neural networks.

Journal of the American Medical Informatics Association : JAMIA May 1, 2020
OBJECTIVE: Non-small cell lung cancer is a leading cause of cancer death worldwide, and histopathological evaluation plays the primary role in its diagnosis. However, the morphological patterns associated with the molecular subtypes have not been sys...
Lung Neoplasms Carcinoma, Non-Small-Cell Lung Adenocarcinoma of Lung Carcinoma, Squamous Cell Transcriptome ROC Curve Humans Neural Networks, Computer Machine Learning
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EXpectation Propagation LOgistic REgRession on permissioned blockCHAIN (ExplorerChain): decentralized online healthcare/genomics predictive model learning.

Journal of the American Medical Informatics Association : JAMIA May 1, 2020
OBJECTIVE: Predicting patient outcomes using healthcare/genomics data is an increasingly popular/important area. However, some diseases are rare and require data from multiple institutions to construct generalizable models. To address institutional d...
Length of Stay Decision Support Systems, Clinical Genomics Logistic Models Prognosis Female Male Computer Security Computer Communication Networks Blockchain Area Under Curve Decision Support Systems, Management Datasets as Topic Algorithms Delivery of Health Care Humans Machine Learning
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Accounting for data variability in multi-institutional distributed deep learning for medical imaging.

Journal of the American Medical Informatics Association : JAMIA May 1, 2020
OBJECTIVES: Sharing patient data across institutions to train generalizable deep learning models is challenging due to regulatory and technical hurdles. Distributed learning, where model weights are shared instead of patient data, presents an attract...
Humans Computer Communication Networks Datasets as Topic Diabetic Retinopathy Radiography, Thoracic Pattern Recognition, Automated Deep Learning Health Information Exchange Diagnostic Imaging
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Physician understanding, explainability, and trust in a hypothetical machine learning risk calculator.

Journal of the American Medical Informatics Association : JAMIA Apr 1, 2020
OBJECTIVE: Implementation of machine learning (ML) may be limited by patients' right to "meaningful information about the logic involved" when ML influences healthcare decisions. Given the complexity of healthcare decisions, it is likely that ML outp...
Pulmonary Embolism Humans Decision Making, Computer-Assisted Artificial Intelligence Attitude to Computers Surveys and Questionnaires Trust Attitude of Health Personnel Machine Learning Risk Assessment User-Computer Interface Physicians
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iDISK: the integrated DIetary Supplements Knowledge base.

Journal of the American Medical Informatics Association : JAMIA Apr 1, 2020
OBJECTIVE: To build a knowledge base of dietary supplement (DS) information, called the integrated DIetary Supplement Knowledge base (iDISK), which integrates and standardizes DS-related information from 4 existing resources.
Humans Databases, Factual Unified Medical Language System Product Labeling Dietary Supplements Vocabulary, Controlled RxNorm Knowledge Bases
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A customizable deep learning model for nosocomial risk prediction from critical care notes with indirect supervision.

Journal of the American Medical Informatics Association : JAMIA Apr 1, 2020
OBJECTIVE: Reliable longitudinal risk prediction for hospitalized patients is needed to provide quality care. Our goal is to develop a generalizable model capable of leveraging clinical notes to predict healthcare-associated diseases 24-96 hours in a...
Humans Retrospective Studies Deep Learning ROC Curve Area Under Curve Acute Kidney Injury Pressure Ulcer Support Vector Machine Critical Care Electronic Health Records Natural Language Processing Anemia Iatrogenic Disease Risk Assessment
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Does BERT need domain adaptation for clinical negation detection?

Journal of the American Medical Informatics Association : JAMIA Apr 1, 2020
INTRODUCTION: Classifying whether concepts in an unstructured clinical text are negated is an important unsolved task. New domain adaptation and transfer learning methods can potentially address this issue.
Machine Learning Algorithms Natural Language Processing Medical Records Datasets as Topic Information Storage and Retrieval Humans Neural Networks, Computer
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Depression screening using mobile phone usage metadata: a machine learning approach.

Journal of the American Medical Informatics Association : JAMIA Apr 1, 2020
OBJECTIVE: Depression is currently the second most significant contributor to non-fatal disease burdens globally. While it is treatable, depression remains undiagnosed in many cases. As mobile phones have now become an integral part of daily life, th...
Humans Surveys and Questionnaires Depressive Disorder Adult Mobile Applications Sensitivity and Specificity Area Under Curve Neural Networks, Computer Severity of Illness Index Cell Phone Use Logistic Models Telemedicine Depression Machine Learning Algorithms
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On classifying sepsis heterogeneity in the ICU: insight using machine learning.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2020
OBJECTIVES: Current machine learning models aiming to predict sepsis from electronic health records (EHR) do not account 20 for the heterogeneity of the condition despite its emerging importance in prognosis and treatment. This work demonstrates the ...
Electronic Health Records Diagnosis, Differential Humans Sensitivity and Specificity Organ Dysfunction Scores Machine Learning Sepsis Intensive Care Units
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medExtractR: A targeted, customizable approach to medication extraction from electronic health records.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2020
OBJECTIVE: We developed medExtractR, a natural language processing system to extract medication information from clinical notes. Using a targeted approach, medExtractR focuses on individual drugs to facilitate creation of medication-specific research...
Datasets as Topic Drug Therapy Pharmaceutical Preparations Data Mining Programming Languages Humans Software Electronic Health Records Algorithms Natural Language Processing
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