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

Showing 321 to 330 of 493 articles

Clinical concept extraction using transformers.

Journal of the American Medical Informatics Association : JAMIA Dec 9, 2020
OBJECTIVE: The goal of this study is to explore transformer-based models (eg, Bidirectional Encoder Representations from Transformers [BERT]) for clinical concept extraction and develop an open-source package with pretrained clinical models to facili...
Data Mining Electronic Health Records Humans Deep Learning Software Datasets as Topic Natural Language Processing
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An approach to predicting patient experience through machine learning and social network analysis.

Journal of the American Medical Informatics Association : JAMIA Dec 9, 2020
OBJECTIVE: Improving the patient experience has become an essential component of any healthcare system's performance metrics portfolio. In this study, we developed a machine learning model to predict a patient's response to the Hospital Consumer Asse...
Physician-Patient Relations Patient Satisfaction Patient Outcome Assessment Social Network Analysis Machine Learning Logistic Models Male Electronic Health Records Surveys and Questionnaires Models, Statistical Female ROC Curve Decision Trees Humans
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Democratizing EHR analyses with FIDDLE: a flexible data-driven preprocessing pipeline for structured clinical data.

Journal of the American Medical Informatics Association : JAMIA Dec 9, 2020
OBJECTIVE: In applying machine learning (ML) to electronic health record (EHR) data, many decisions must be made before any ML is applied; such preprocessing requires substantial effort and can be labor-intensive. As the role of ML in health care gro...
Humans Machine Learning Data Management Respiratory Insufficiency Data Mining Risk Assessment Databases, Factual Shock Hospital Mortality Intensive Care Units ROC Curve Electronic Health Records
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Probabilistic forecasting of surgical case duration using machine learning: model development and validation.

Journal of the American Medical Informatics Association : JAMIA Dec 9, 2020
OBJECTIVE: Accurate estimations of surgical case durations can lead to the cost-effective utilization of operating rooms. We developed a novel machine learning approach, using both structured and unstructured features as input, to predict a continuou...
Humans Reproducibility of Results Neural Networks, Computer Operative Time Natural Language Processing Models, Statistical Datasets as Topic Machine Learning Surgical Procedures, Operative Operating Rooms Forecasting
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Addressing health disparities in the Food and Drug Administration's artificial intelligence and machine learning regulatory framework.

Journal of the American Medical Informatics Association : JAMIA Dec 9, 2020
The exponential growth of health data from devices, health applications, and electronic health records coupled with the development of data analysis tools such as machine learning offer opportunities to leverage these data to mitigate health disparit...
United States Food and Drug Administration Minority Groups Health Status Disparities Machine Learning Software United States Government Regulation Humans Artificial Intelligence
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Reporting of demographic data and representativeness in machine learning models using electronic health records.

Journal of the American Medical Informatics Association : JAMIA Dec 9, 2020
OBJECTIVE: The development of machine learning (ML) algorithms to address a variety of issues faced in clinical practice has increased rapidly. However, questions have arisen regarding biases in their development that can affect their applicability i...
Electronic Health Records Female Male Humans Machine Learning Demography Nutrition Surveys Socioeconomic Factors Ethnicity
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MINIMAR (MINimum Information for Medical AI Reporting): Developing reporting standards for artificial intelligence in health care.

Journal of the American Medical Informatics Association : JAMIA Dec 9, 2020
The rise of digital data and computing power have contributed to significant advancements in artificial intelligence (AI), leading to the use of classification and prediction models in health care to enhance clinical decision-making for diagnosis, tr...
Delivery of Health Care Electronic Health Records Humans Research Report Artificial Intelligence
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Patient safety and quality improvement: Ethical principles for a regulatory approach to bias in healthcare machine learning.

Journal of the American Medical Informatics Association : JAMIA Dec 9, 2020
Accumulating evidence demonstrates the impact of bias that reflects social inequality on the performance of machine learning (ML) models in health care. Given their intended placement within healthcare decision making more broadly, ML tools require a...
Social Determinants of Health Government Regulation Prejudice Healthcare Disparities Data Collection Quality Improvement Humans Artificial Intelligence Patient Safety
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Latent bias and the implementation of artificial intelligence in medicine.

Journal of the American Medical Informatics Association : JAMIA Dec 9, 2020
Increasing recognition of biases in artificial intelligence (AI) algorithms has motivated the quest to build fair models, free of biases. However, building fair models may be only half the challenge. A seemingly fair model could involve, directly or ...
Decision Support Systems, Clinical Bias Prejudice Humans Artificial Intelligence Algorithms
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A machine learning-based clinical decision support system to identify prescriptions with a high risk of medication error.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2020
OBJECTIVE: To improve patient safety and clinical outcomes by reducing the risk of prescribing errors, we tested the accuracy of a hybrid clinical decision support system in prioritizing prescription checks.
Hospitals, Voluntary Expert Systems Humans Patient Safety Prescriptions Machine Learning Medication Errors ROC Curve Pharmacists Medical Order Entry Systems Decision Support Systems, Clinical Paris
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