AIMC Topic: Electronic Health Records

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Predicting pressure injury using nursing assessment phenotypes and machine learning methods.

Journal of the American Medical Informatics Association : JAMIA Mar 18, 2021
OBJECTIVE: Pressure injuries are common and serious complications for hospitalized patients. The pressure injury rate is an important patient safety metric and an indicator of the quality of nursing care. Timely and accurate prediction of pressure in...
Nursing Research Humans Machine Learning Risk Factors Aged, 80 and over Databases, Factual Hospitalization Male Logistic Models Electronic Health Records Aged Middle Aged Female Pressure Ulcer Risk Assessment ROC Curve
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A comparison of general and disease-specific machine learning models for the prediction of unplanned hospital readmissions.

Journal of the American Medical Informatics Association : JAMIA Mar 18, 2021
Unplanned hospital readmissions are a burden to patients and increase healthcare costs. A wide variety of machine learning (ML) models have been suggested to predict unplanned hospital readmissions. These ML models were often specifically trained on ...
Electronic Health Records Female Hospitalization Humans Machine Learning Prognosis Cohort Studies Treatment Outcome Models, Statistical Chronic Disease Male Cardiovascular Diseases Neoplasms Patient Readmission Datasets as Topic Area Under Curve Tertiary Care Centers Lung Diseases
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Building longitudinal medication dose data using medication information extracted from clinical notes in electronic health records.

Journal of the American Medical Informatics Association : JAMIA Mar 18, 2021
OBJECTIVE: To develop an algorithm for building longitudinal medication dose datasets using information extracted from clinical notes in electronic health records (EHRs).
Algorithms Electronic Health Records Natural Language Processing Drug Therapy Humans Pharmaceutical Preparations Information Storage and Retrieval
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Using Natural Language Processing on Electronic Health Records to Enhance Detection and Prediction of Psychosis Risk.

Schizophrenia bulletin Mar 16, 2021
BACKGROUND: Using novel data mining methods such as natural language processing (NLP) on electronic health records (EHRs) for screening and detecting individuals at risk for psychosis.
Young Adult Adult Male Middle Aged Retrospective Studies Electronic Health Records Female Models, Statistical Risk Assessment Natural Language Processing Humans Adolescent Psychotic Disorders Follow-Up Studies London
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The value of federated learning during and post-COVID-19.

International journal for quality in health care : journal of the International Society for Quality in Health Care Mar 4, 2021
Federated learning (FL) as a distributed machine learning (ML) technique has lately attracted increasing attention of healthcare stakeholders as FL is perceived as a promising decentralized approach to address data privacy and security concerns. The ...
Humans COVID-19 Machine Learning Electronic Health Records Confidentiality SARS-CoV-2 Computer Security
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Artificial intelligence in prediction of non-alcoholic fatty liver disease and fibrosis.

Journal of gastroenterology and hepatology Mar 1, 2021
Artificial intelligence (AI) has become increasingly widespread in our daily lives, including healthcare applications. AI has brought many new insights into better ways we care for our patients with chronic liver disease, including non-alcoholic fatt...
Non-alcoholic Fatty Liver Disease Humans Liver Cirrhosis Diagnostic Imaging Biopsy Forecasting Liver Neural Networks, Computer Electronic Health Records Decision Trees Artificial Intelligence Logistic Models
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Artificial intelligence in precision medicine in hepatology.

Journal of gastroenterology and hepatology Mar 1, 2021
The advancement of investigation tools and electronic health records (EHR) enables a paradigm shift from guideline-specific therapy toward patient-specific precision medicine. The multiparametric and large detailed information necessitates novel anal...
Electronic Health Records Gastroenterology Liver Humans Neural Networks, Computer Artificial Intelligence Diagnostic Imaging Precision Medicine Liver Diseases
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Applying natural language processing and machine learning techniques to patient experience feedback: a systematic review.

BMJ health & care informatics Mar 1, 2021
OBJECTIVES: Unstructured free-text patient feedback contains rich information, and analysing these data manually would require a lot of personnel resources which are not available in most healthcare organisations.To undertake a systematic review of t...
Machine Learning Natural Language Processing Patient Outcome Assessment Feedback Humans Electronic Health Records Bayes Theorem Social Media Patient Satisfaction
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Natural Language Processing to Assess Frequency of Functional Status Documentation for Patients Newly Diagnosed With Colorectal Cancer.

JAMA oncology Mar 1, 2021
Documentation Colorectal Neoplasms Natural Language Processing Functional Status Humans Electronic Health Records
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Natural Language Processing to Assess Frequency of Functional Status Documentation for Patients Newly Diagnosed With Colorectal Cancer-Reply.

JAMA oncology Mar 1, 2021
Humans Electronic Health Records Functional Status Documentation Colorectal Neoplasms Natural Language Processing
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