AIMC Topic: Electronic Health Records

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Continuous-time probabilistic models for longitudinal electronic health records.

Journal of biomedical informatics May 7, 2022
Analysis of longitudinal Electronic Health Record (EHR) data is an important goal for precision medicine. Difficulty in applying Machine Learning (ML) methods, either predictive or unsupervised, stems in part from the heterogeneity and irregular samp...
Humans Electronic Health Records Models, Statistical Probability Machine Learning Algorithms
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Integrated Blockchain-Deep Learning Approach for Analyzing the Electronic Health Records Recommender System.

Frontiers in public health May 6, 2022
Blockchain is a recent revolutionary technology primarily associated with cryptocurrencies. It has many unique features including its acting as a decentralized, immutable, shared, and distributed ledger. Blockchain can store all types of data with be...
Delivery of Health Care Deep Learning Humans Electronic Health Records Blockchain Algorithms
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Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Predict Postoperative Complications and Report on a Mobile Platform.

JAMA network open May 2, 2022
IMPORTANCE: Predicting postoperative complications has the potential to inform shared decisions regarding the appropriateness of surgical procedures, targeted risk-reduction strategies, and postoperative resource use. Realizing these advantages requi...
Humans Postoperative Complications Male Middle Aged Retrospective Studies Female Artificial Intelligence Algorithms Electronic Health Records Adult Machine Learning Prospective Studies
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Artificial Intelligence for Inflammatory Bowel Diseases (IBD); Accurately Predicting Adverse Outcomes Using Machine Learning.

Digestive diseases and sciences Apr 27, 2022
BACKGROUND: Inflammatory Bowel Diseases with its complexity and heterogeneity could benefit from the increased application of Artificial Intelligence in clinical management.
Artificial Intelligence Machine Learning Humans Cohort Studies Inflammatory Bowel Diseases Electronic Health Records
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Environmental and clinical data utility in pediatric asthma exacerbation risk prediction models.

BMC medical informatics and decision making Apr 22, 2022
BACKGROUND: Asthma exacerbations are triggered by a variety of clinical and environmental factors, but their relative impacts on exacerbation risk are unclear. There is a critical need to develop methods to identify children at high-risk for future e...
Child ROC Curve Electronic Health Records Asthma Machine Learning Humans Retrospective Studies
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Development and External Validation of a Machine Learning Model for Prediction of Potential Transfer to the PICU.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Apr 21, 2022
OBJECTIVES: Unrecognized clinical deterioration during illness requiring hospitalization is associated with high risk of mortality and long-term morbidity among children. Our objective was to develop and externally validate machine learning algorithm...
Humans Machine Learning Intensive Care Units, Pediatric Retrospective Studies Cohort Studies Vital Signs Electronic Health Records Child
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Assigning diagnosis codes using medication history.

Artificial intelligence in medicine Apr 20, 2022
Diagnosis assignment is the process of assigning disease codes to patients. Automatic diagnosis assignment has the potential to validate code assignments, correct erroneous codes, and register completion. Previous methods build on text-based techniqu...
Electronic Health Records Humans Machine Learning
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Answering medical questions in Chinese using automatically mined knowledge and deep neural networks: an end-to-end solution.

BMC bioinformatics Apr 15, 2022
BACKGROUND: Medical information has rapidly increased on the internet and has become one of the main targets of search engine use. However, medical information on the internet is subject to the problems of quality and accessibility, so ordinary users...
China Natural Language Processing Neural Networks, Computer Electronic Health Records Language
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Natural language processing of admission notes to predict severe maternal morbidity during the delivery encounter.

American journal of obstetrics and gynecology Apr 14, 2022
BACKGROUND: Severe maternal morbidity and mortality remain public health priorities in the United States, given their high rates relative to other high-income countries and the notable racial and ethnic disparities that exist. In general, accurate ri...
Natural Language Processing Pregnancy Female Retrospective Studies Electronic Health Records Artificial Intelligence Machine Learning Humans
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Data Pre-Processing Using Neural Processes for Modeling Personalized Vital-Sign Time-Series Data.

IEEE journal of biomedical and health informatics Apr 14, 2022
Clinical time-series data retrieved from electronic medical records are widely used to build predictive models of adverse events to support resource management. Such data is often sparse and irregularly-sampled, which makes it challenging to use many...
Humans Machine Learning Models, Theoretical Normal Distribution Electronic Health Records Time Factors
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