Improving mortality prediction in Acute Pancreatitis by machine learning and data augmentation

MAB Hameed, Z Alamgir - Computers in Biology and Medicine, 2022 - Elsevier
Acute Pancreatitis (AP) is the inflammation of the pancreas that can be fatal or lead to further
complications based on the severity of the attack. Early detection of AP disease can help …

[HTML][HTML] Improvement of the ANN-Based Prediction Technology for Extremely Small Biomedical Data Analysis

I Izonin, R Tkachenko, O Berezsky, I Krak, M Kováč… - Technologies, 2024 - mdpi.com
Today, the field of biomedical engineering spans numerous areas of scientific research that
grapple with the challenges of intelligent analysis of small datasets. Analyzing such datasets …

[HTML][HTML] Synthetic tabular data based on generative adversarial networks in health care: generation and validation using the divide-and-conquer strategy

HYJ Kang, E Batbaatar, DW Choi, KS Choi… - JMIR Medical …, 2023 - medinform.jmir.org
Background Synthetic data generation (SDG) based on generative adversarial networks
(GANs) is used in health care, but research on preserving data with logical relationships with …

Neural network-based algorithm for door handle recognition using RGBD cameras

L Mochurad, Y Hladun - Scientific Reports, 2024 - nature.com
The ability to recognize and interact with a variety of doorknob designs is an important
component on the path to true robot adaptability, allowing robotic systems to effectively …

[PDF][PDF] Hybrid 4-Layer Bithreshold Neural Network for Multiclass Classification.

V Kotsovsky - COLINS (1), 2023 - ceur-ws.org
The questions related to the improvement of the performance of bithreshold classifiers are
treated in the paper. The new 4-layer neural network architecture is proposed whose first …

[HTML][HTML] Enhanced Input-Doubling Method Leveraging Response Surface Linearization to Improve Classification Accuracy in Small Medical Data Processing

I Izonin, R Tkachenko, P Yendyk, I Pliss, Y Bodyanskiy… - Computation, 2024 - mdpi.com
Currently, the tasks of intelligent data analysis in medicine are becoming increasingly
common. Existing artificial intelligence tools provide high effectiveness in solving these tasks …