AIMC Journal:
Studies in health technology and informatics

Showing 891 to 900 of 1278 articles

Echocardiography Population Study in Russian Federation for 4P Medicine Using Machine Learning.

Studies in health technology and informatics Jan 1, 2019
This article describes the study results of echocardiographic (ECHO) test data for 4P medicine applied to cardiovascular patients. Data from more than 145,000 echocardiographic tests were analyzed. One of the objectives of the study is the possibilit...
Retrospective Studies Machine Learning Echocardiography Medicine Russia Humans
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Artificial Intelligence and Machine Learning.

Studies in health technology and informatics Jan 1, 2019
Artificial Intelligence Machine Learning
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Extraction from Medical Records.

Studies in health technology and informatics Jan 1, 2019
Despite using electronic medical records, free narrative text is still widely used for medical records. Such text cannot be analyzed by statistical tools and be proceed by decision support systems. To make data from texts available for such tasks a s...
Algorithms Electronic Health Records Data Mining Language Natural Language Processing
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Healthcare Transformation Towards Personalized Medicine - Chances and Challenges.

Studies in health technology and informatics Jan 1, 2019
The paper introduces a structured approach to transforming healthcare towards personalized, preventive, predictive, participative precision (P5) medicine. It highlights the promising methodological paradigm changes, accompanied by related organizatio...
Humans Delivery of Health Care Precision Medicine Artificial Intelligence
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Photographic LVAD Driveline Wound Infection Recognition Using Deep Learning.

Studies in health technology and informatics Jan 1, 2019
The steady increase in the number of patients equipped with mechanical heart support implants, such as left ventricular assist devices (LVAD), along with virtually ubiquitous 24/7 internet connectivity coverage is motive to investigate and develop re...
Prosthesis-Related Infections Humans Neural Networks, Computer Deep Learning Wound Infection Heart-Assist Devices
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Is Regular Re-Training of a Predictive Delirium Model Necessary After Deployment in Routine Care?

Studies in health technology and informatics Jan 1, 2019
Adoption of electronic medical records in hospitals generates a large amount of data. Health care professionals can easily lose their sight on the important insights of the patients' clinical and medical history. Although machine learning algorithms ...
Delirium Hospitals Machine Learning Algorithms Prognosis Electronic Health Records Humans
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Socially Assistive Robots (SAR) in In-Patient Care for the Elderly.

Studies in health technology and informatics Jan 1, 2019
In-patient care of the elderly is currently being put to the test in all developed industrial nations. The aim is to make the resident-centered and nursing-related care more professional. In addition to the organizational and interdisciplinary orient...
Self-Help Devices Aged Robotics Patient Care Austria Humans
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Ensemble Based Approach for Time Series Classification in Metabolomics.

Studies in health technology and informatics Jan 1, 2019
BACKGROUND: Machine learning is one important application in the area of health informatics, however classification methods for longitudinal data are still rare.
Humans Machine Learning Bayes Theorem Medical Informatics Algorithms Metabolomics
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Evaluation of Chatbot Prototypes for Taking the Virtual Patient's History.

Studies in health technology and informatics Jan 1, 2019
In medical education Virtual Patients (VP) are often applied to train students in different scenarios such as recording the patient's medical history or deciding a treatment option. Usually, such interactions are predefined by software logic and data...
Medical History Taking Communication User-Computer Interface Natural Language Processing Education, Medical Humans Software Algorithms
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Information Adapted Machine Learning Models for Prediction in Clinical Workflow.

Studies in health technology and informatics Jan 1, 2019
BACKGROUND: In a database of electronic health records, the amount of available information varies widely between patients. In a real-time prediction scenario, a machine learning model may receive limited information for some patients.
Delirium Machine Learning Data Accuracy Electronic Health Records Databases, Factual Humans Workflow
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