AIMC Journal:
Studies in health technology and informatics

Showing 501 to 510 of 1224 articles

A Machine Learning Solution to Predict Elective Orthopedic Surgery Case Duration.

Studies in health technology and informatics Jun 29, 2022
We used surgery durations, patient demographic and personnel data taken from the East Kent Hospitals University NHS Foundation Trust (EKHUFT) over a period of 10 years (2010-2019) for a total of 25,352 patients that underwent 15 highest volume electi...
Humans Machine Learning Orthopedic Procedures
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Predicting the Length of Stay in Neurosurgery with RuGPT-3 Language Model.

Studies in health technology and informatics Jun 29, 2022
In this study, we update the evaluation of the Russian GPT3 model presented in our previous paper in predicting the length of stay (LOS) in neurosurgery. We aimed to assess the performance the Russian GPT-3 (ruGPT-3) language model in LOS prediction ...
Humans Language Length of Stay Natural Language Processing Neurosurgical Procedures Neurosurgery
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A Comparison of Convolutional Neural Networks and Traditional Feature-Based Classification Applied to Leukaemia Image Analysis.

Studies in health technology and informatics Jun 29, 2022
The accuracy of smear test image classification is a fundamental aspect in differentiating the type of leukaemia and determining the right treatment to improve the patient's chances of survival and recovery. Image Classification has lately become a v...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Leukemia
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Artificial Intelligence: On the Way to Doctor's Trust.

Studies in health technology and informatics Jun 29, 2022
The submission is devoted to reflections on the role of trust to modern IT systems, especially based on the AI technologies. Its purpose is to draw the attention of the medical informatics community to the need to achieve trust at all stages of the l...
Artificial Intelligence Trust Medical Informatics
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Deep Time Growing Neural Network vs Convolutional Neural Network for Intelligent Phonocardiography.

Studies in health technology and informatics Jun 29, 2022
This paper explores the capabilities of a sophisticated deep learning method, named Deep Time Growing Neural Network (DTGNN), and compares its possibilities against a generally well-known method, Convolutional Neural network (CNN). The comparison is ...
Humans Neural Networks, Computer Deep Learning Heart Diseases Heart Sounds Phonocardiography
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A Formal Model for the FAIR4Health Information Architecture.

Studies in health technology and informatics Jun 29, 2022
In the EU project FAIR4Health, a ETL pipeline for the FAIRification of structured health data as well as an agent-based, distributed query platform for the analysis of research hypotheses and the training of machine learning models were developed. Th...
Humans Machine Learning Software
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Chances and Risks of Using Robotic Assistance Systems in Early Neurological Rehabilitation: A Qualitative Analysis.

Studies in health technology and informatics Jun 29, 2022
Robotic assistance systems offer new therapeutic perspectives for patient mobilization. This work aims to investigate the chances and risks of robotic assistance systems in early neurological rehabilitation. Nine professionals working in physiotherap...
Humans Qualitative Research Robotics Neurological Rehabilitation
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Conception, Development and Validation of Classification Methods for Coding Support of Rare Diseases Using Artificial Intelligence.

Studies in health technology and informatics Jun 29, 2022
Automated coding of diseases can support hospitals in the billing of inpatient cases with the health insurance funds. This paper describes the implementation and evaluation of classification methods for two selected Rare Diseases. Different classifie...
Humans Artificial Intelligence Machine Learning Reproducibility of Results Natural Language Processing Rare Diseases
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Multinomial Classification of Neurosurgical Operations Using Gradient Boosting and Deep Learning Algorithms.

Studies in health technology and informatics Jun 29, 2022
This study aimed at testing the feasibility of neurosurgical procedures classification into 100+ classes using natural language processing and machine learning. A catboost algorithm and bidirectional recurrent neural network with a gated recurrent un...
Neural Networks, Computer Machine Learning Algorithms Deep Learning Natural Language Processing
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Early Diabetes Prediction: A Comparative Study Using Machine Learning Techniques.

Studies in health technology and informatics Jun 29, 2022
Most screening tests for Diabetes Mellitus (DM) in use today were developed using electronically collected data from Electronic Health Record (EHR). However, developing and under-developing countries are still struggling to build EHR in their hospita...
Humans Machine Learning Algorithms Logistic Models Diabetes Mellitus Support Vector Machine Bayes Theorem
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