DIAGNOSIS AND PREDICTION OF CHOLECYSTITIS DEVELOPMENT ON THE BASIS OF NEURAL NETWORK ANALYSIS OF RISK FACTORS
Purpose. To develop an artificial neural network for diagnosing and predicting the development of cholecystitis based on an analysis of data on risk factors, and to explore the possibilities of its application in real clinical practice.Materials and methods. The collection of materials was held in a...
Saved in:
Main Authors: | V. A. Lazarenko, A. E. Antonov |
---|---|
Format: | Article |
Language: | Russian |
Published: |
QUASAR, LLC
2017-12-01
|
Series: | Исследования и практика в медицине |
Subjects: | |
Online Access: | https://www.rpmj.ru/rpmj/article/view/221 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Autism spectrum disorder diagnosis with neural networks
by: Asude Demir, et al.
Published: (2024-12-01) -
Methods for Constructing Artificial Neural Networks for Data Classification
by: L. V. Serebryanaya
Published: (2022-06-01) -
Intelligent Modeling; Single (Multi-layer perceptron) and Hybrid (Neuro-Fuzzy Network) Method in Forest Degradation (Case Study: Sari County)
by: somayeh mehrabadi
Published: (2021-03-01) -
Investigation of Different Components of Steel Metal Utilizing Artificial Intelligence
by: Zainab L. H, et al.
Published: (2022-12-01) -
Profiling Intangible Cultural Heritage Visitors through Multilayer Perceptron’s model
by: Lucía Castaño-Prieto, et al.
Published: (2025-01-01)