AIMC Topic: Public Reporting of Healthcare Data

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Optimization of clinical risk-factor interpretation and radiological findings with machine learning for PIRADS category 3 patients.

The Prostate Nov 15, 2021
BACKGROUND: Due to the low cancer-detection rate in patients with PIRADS category 3 lesions, we created machine learning (ML) models to facilitate decision-making about whether to perform prostate biopsies or monitor clinical information without biop...
Humans Machine Learning Research Design Aged Sensitivity and Specificity Male Risk Assessment Magnetic Resonance Imaging Prostatic Neoplasms Prostate-Specific Antigen Ultrasonography, Interventional Prostate Quality Improvement Image-Guided Biopsy Unnecessary Procedures Public Reporting of Healthcare Data
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Machine learning for pattern detection in cochlear implant FDA adverse event reports.

Cochlear implants international Jul 5, 2020
Medical device performance and safety databases can be analyzed for patterns and novel opportunities for improving patient safety and/or device design. The objective of this analysis was to use supervised machine learning to explore patterns in rep...
Humans Machine Learning Algorithms Databases, Factual Female Adult Male Child Logistic Models United States Bayes Theorem United States Food and Drug Administration Cochlear Implantation Equipment Failure Analysis Cochlear Implants Public Reporting of Healthcare Data
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Enhancing clinical concept extraction with contextual embeddings.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Neural network-based representations ("embeddings") have dramatically advanced natural language processing (NLP) tasks, including clinical NLP tasks such as concept extraction. Recently, however, more advanced embedding methods and represe...
Humans Neural Networks, Computer Databases, Factual Big Data Natural Language Processing Information Storage and Retrieval Public Reporting of Healthcare Data
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