AIMC Topic: Electronic Health Records
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Leveraging innovative technology to generate drug response phenotypes for the advancement of biomarker-driven precision dosing.
Clinical and translational science
Feb 12, 2021
Although traditional approaches to biomarker discovery have elucidated key molecular markers that have improved drug selection (precision medicine), the discovery of biomarkers that inform optimal dose selection (precision dosing) continues to be a c...
Technical Note: An embedding-based medical note de-identification approach with sparse annotation.
Medical physics
Feb 12, 2021
PURPOSE: Medical note de-identification is critical for the protection of private information and the security of data sharing in collaborative research. The task demands the complete removal of all patient names and other sensitive information such ...
Accuracy of Algorithms to Identify People with Atopic Dermatitis in Ontario Routinely Collected Health Databases.
The Journal of investigative dermatology
Feb 9, 2021
Deep-learning-assisted analysis of echocardiographic videos improves predictions of all-cause mortality.
Nature biomedical engineering
Feb 8, 2021
Machine learning promises to assist physicians with predictions of mortality and of other future clinical events by learning complex patterns from historical data, such as longitudinal electronic health records. Here we show that a convolutional neur...
Value from health data: European opportunity to catalyse progress in digital health.
Lancet (London, England)
Feb 8, 2021
A Staging Auxiliary Diagnosis Model for Nonsmall Cell Lung Cancer Based on the Intelligent Medical System.
Computational and mathematical methods in medicine
Feb 8, 2021
At present, human health is threatened by many diseases, and lung cancer is one of the most dangerous tumors that threaten human life. In most developing countries, due to the large population and lack of medical resources, it is difficult for doctor...
A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health records.
European journal of radiology
Feb 5, 2021
PURPOSE: As of August 30th, there were in total 25.1 million confirmed cases and 845 thousand deaths caused by coronavirus disease of 2019 (COVID-19) worldwide. With overwhelming demands on medical resources, patient stratification based on their ris...
Machine learning-based prediction of in-hospital mortality using admission laboratory data: A retrospective, single-site study using electronic health record data.
PloS one
Feb 5, 2021
Risk assessment of in-hospital mortality of patients at the time of hospitalization is necessary for determining the scale of required medical resources for the patient depending on the patient's severity. Because recent machine learning application ...
Clinical Natural Language Processing for Radiation Oncology: A Review and Practical Primer.
International journal of radiation oncology, biology, physics
Feb 3, 2021
Natural language processing (NLP), which aims to convert human language into expressions that can be analyzed by computers, is one of the most rapidly developing and widely used technologies in the field of artificial intelligence. Natural language p...
A Method for Generating Synthetic Electronic Medical Record Text.
IEEE/ACM transactions on computational biology and bioinformatics
Feb 3, 2021
Machine learning (ML) and Natural Language Processing (NLP) have achieved remarkable success in many fields and have brought new opportunities and high expectation in the analyses of medical data, of which the most common type is the massive free-tex...
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