AIMC Topic: Electronic Health Records

Clear Filters Showing 931 to 940 of 2589 articles

Modeling multivariate clinical event time-series with recurrent temporal mechanisms.

Artificial intelligence in medicine Jan 18, 2021
In this work, we propose a novel autoregressive event time-series model that can predict future occurrences of multivariate clinical events. Our model represents multivariate event time-series using different temporal mechanisms aimed to fit differen...
Humans Neural Networks, Computer Electronic Health Records Forecasting Time
View on PubMed DOI

A natural language processing approach for identifying temporal disease onset information from mental healthcare text.

Scientific reports Jan 12, 2021
Receiving timely and appropriate treatment is crucial for better health outcomes, and research on the contribution of specific variables is essential. In the mental health domain, an important research variable is the date of psychosis symptom onset,...
Humans Retrospective Studies Electronic Health Records Natural Language Processing Psychotic Disorders Symptom Assessment Mental Health Mental Health Services
View on PubMed DOI

Hard for humans, hard for machines: predicting readmission after psychiatric hospitalization using narrative notes.

Translational psychiatry Jan 11, 2021
Machine learning has been suggested as a means of identifying individuals at greatest risk for hospital readmission, including psychiatric readmission. We sought to compare the performance of predictive models that use interpretable representations d...
Narration Patient Readmission Electronic Health Records Female Hospitalization Humans Machine Learning
View on PubMed DOI

Novel Machine Learning Can Predict Acute Asthma Exacerbation.

Chest Jan 10, 2021
BACKGROUND: Asthma exacerbations result in significant health and economic burden, but are difficult to predict.
Symptom Flare Up Ohio Asthma Male Adolescent Predictive Value of Tests Middle Aged Humans Machine Learning Aged, 80 and over Adult Electronic Health Records Female Aged
View on PubMed DOI

Interpreting a recurrent neural network's predictions of ICU mortality risk.

Journal of biomedical informatics Jan 7, 2021
Deep learning has demonstrated success in many applications; however, their use in healthcare has been limited due to the lack of transparency into how they generate predictions. Algorithms such as Recurrent Neural Networks (RNNs) when applied to Ele...
Neural Networks, Computer Algorithms Humans Child Intensive Care Units Electronic Health Records
View on PubMed DOI

Generating real-world evidence from unstructured clinical notes to examine clinical utility of genetic tests: use case in BRCAness.

BMC medical informatics and decision making Jan 6, 2021
BACKGROUND: Next-generation sequencing provides comprehensive information about individuals' genetic makeup and is commonplace in oncology clinical practice. However, the utility of genetic information in the clinical decision-making process has not ...
Humans Machine Learning Female Natural Language Processing Data Accuracy Electronic Health Records Language
View on PubMed DOI

Development of Electronic Health Record-Based Prediction Models for 30-Day Readmission Risk Among Patients Hospitalized for Acute Myocardial Infarction.

JAMA network open Jan 4, 2021
IMPORTANCE: In the US, more than 600 000 adults will experience an acute myocardial infarction (AMI) each year, and up to 20% of the patients will be rehospitalized within 30 days. This study highlights the need for consideration of calibration in th...
Aged Male Predictive Value of Tests Myocardial Infarction United States Humans Electronic Health Records Machine Learning Patient Readmission Female Retrospective Studies Calibration Hospitalization
View on PubMed DOI

Using natural language processing to classify social work interventions.

The American journal of managed care Jan 1, 2021
OBJECTIVES: Health care organizations are increasingly employing social workers to address patients' social needs. However, social work (SW) activities in health care settings are largely captured as text data within electronic health records (EHRs),...
Natural Language Processing Humans Machine Learning Bayes Theorem Social Work Electronic Health Records
View on PubMed DOI

Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review.

Journal of biomedical informatics Dec 31, 2020
OBJECTIVES: Patient representation learning refers to learning a dense mathematical representation of a patient that encodes meaningful information from Electronic Health Records (EHRs). This is generally performed using advanced deep learning method...
Reproducibility of Results Deep Learning Prognosis Humans Electronic Health Records Neural Networks, Computer
View on PubMed DOI

Predicting mortality in critically ill patients with diabetes using machine learning and clinical notes.

BMC medical informatics and decision making Dec 30, 2020
BACKGROUND: Diabetes mellitus is a prevalent metabolic disease characterized by chronic hyperglycemia. The avalanche of healthcare data is accelerating precision and personalized medicine. Artificial intelligence and algorithm-based approaches are be...
Diabetes Mellitus Natural Language Processing Artificial Intelligence Humans Critical Illness Machine Learning Electronic Health Records
View on PubMed DOI
Popular Topics
Recent Journals