AIMC Journal:
Studies in health technology and informatics

Showing 761 to 770 of 1278 articles

Identification of Diabetes Risk Factors in Chronic Cardiovascular Patients.

Studies in health technology and informatics Sep 4, 2020
Specific predictive models for diabetes polyneuropathy based on screening methods, for example Nerve conduction studies (NCS, can reach up to AUC 65.8 - 84.7 % for the conditional diagnosis of DPN in primary care. Prediction methods that utilize data...
Neural Networks, Computer Machine Learning Humans Diabetes Mellitus Risk Assessment Risk Factors
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Prediction of a Due Date Based on the Pregnancy History Data Using Machine Learning.

Studies in health technology and informatics Sep 4, 2020
Prediction of a labor due date is important especially for the pregnancies with high risk of complications where a special treatment is needed. This is especially valid in the countries with multilevel health care institutions like Russia. In Russia ...
Humans Reproductive History Pregnancy Retrospective Studies Machine Learning Russia Female Electronic Health Records
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Application of Industry 4.0 Concept to Health Care.

Studies in health technology and informatics Sep 4, 2020
The paper describes the concept of the Industry 4.0 and its reflection in health care. Industry 4.0 connects intelligent production concepts with external factors, including those linked with the production and those linked more with human, as for ex...
Humans Artificial Intelligence Big Data Reproducibility of Results Industry Delivery of Health Care
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An Efficient Method to Predict Pneumonia from Chest X-Rays Using Deep Learning Approach.

Studies in health technology and informatics Jun 26, 2020
Pneumonia is a severe health problem causing millions of deaths every year. The aim of this study was to develop an advanced deep learning-based architecture to detect pneumonia using chest X-ray images. We utilized a convolutional neural network (CN...
Pneumonia Neural Networks, Computer Humans Deep Learning X-Rays Radiographic Image Interpretation, Computer-Assisted
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Classification of Intracranial Hemorrhage Subtypes Using Deep Learning on CT Scans.

Studies in health technology and informatics Jun 26, 2020
Intracranial hemorrhage is a pathological condition that requires fast diagnosis and decision making. Recently, a neural network model for classification of different intracranial hemorrhage types was proposed by a member of our research group Konsta...
Neural Networks, Computer Pilot Projects Deep Learning Tomography, X-Ray Computed Intracranial Hemorrhages Humans
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Generation of Realistic Synthetic Validation Healthcare Datasets Using Generative Adversarial Networks.

Studies in health technology and informatics Jun 26, 2020
BACKGROUND: Assurance of digital health interventions involves, amongst others, clinical validation, which requires large datasets to test the application in realistic clinical scenarios. Development of such datasets is time consuming and challenging...
Neural Networks, Computer Humans
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Urgent Need for Developing a Framework for the Governance of AI in Healthcare.

Studies in health technology and informatics Jun 26, 2020
Lately, the application or integration of Artificial Intelligence in various areas of the Healthcare domain has been a prime attraction; this includes diagnostics, medicine/drugs, medical devices, interventions/procedures, imaging, therapies as well ...
Artificial Intelligence Privacy Delivery of Health Care Humans Morals Quality of Health Care
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Automated Nerve Fibres Identification and Morphometry Analysis with Neural Network Based Tool in MATLAB.

Studies in health technology and informatics Jun 26, 2020
Analyses of nerve histology are core assays in basic and applied research and even in clinical setting. Detailed report on nerve morphology may unbiased indicate the current state of a peripheral nerve. Manual method requires trained technician and i...
Nerve Fibers Image Processing, Computer-Assisted Neural Networks, Computer
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The Classification of Scientific Literature for Its Topical Tracking on a Small Human-Prepared Dataset.

Studies in health technology and informatics Jun 26, 2020
The number of scientific publications is constantly growing to make their processing extremely time-consuming. We hypothesized that a user-defined literature tracking may be augmented by machine learning on article summaries. A specific dataset of 67...
Natural Language Processing Pilot Projects Machine Learning Humans
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PrositNG - A Machine Learning Supported Disease Model Generation Software.

Studies in health technology and informatics Jun 26, 2020
Decision models (DM), especially Markov Models, play an essential role in the economic evaluation of new medical interventions. The process of DM generation requires expert knowledge of the medical domain and is a time-consuming task. Therefore, the ...
Software Documentation Databases, Factual Machine Learning
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