Home Page
» Online Library » Machine Learning Approach to the Classification of Tensiometric Blood Test Results for Chronic Heart Failure Diagnosis Machine Learning Approach to the Classification of Tensiometric Blood Test Results for Chronic Heart Failure Diagnosis / M. M. Alqe
Machine Learning Approach to the Classification of Tensiometric Blood Test Results for Chronic Heart Failure Diagnosis Machine Learning Approach to the Classification of Tensiometric Blood Test Results for Chronic Heart Failure Diagnosis / M. M. Alqe
| Theme: | Medicine | |
| Author: | Zenin Oleg , Горбаченко Владимир Иванович | |
| Type: | Article | |
| Kind: | Electronic copy | |
| Parts: | 1 | |
| The year of publishing: | 2024 | |
| Publishing house: | Springer International Publishing, Switzerland | |
| Publishing place: | Karbala | |
| The target audience: | Researcher | |
| Special purpose: | Scientific | |
| Copyright holder: | Зенин Горбаченко | |
| Bibliographic reference: | Machine Learning Approach to the Classification of Tensiometric Blood Test Results for Chronic Heart Failure Diagnosis Machine Learning Approach to the Classification of Tensiometric Blood Test Results for Chronic Heart Failure Diagnosis / M. M. Alqezweeni, D. N. Gribkov, V. I. Gorbachenko, V. V. Potapov, I. Miltykh, O. Zenin // Artificial Intelligence and Human-Computer Interaction. — 2024, Vol. 385. — P. 299 – 305. file:///D:/System/Downloads/FAIA-385-FAIA240165.pdf | |
| Url: | http://file:///D:/System/Downloads/FAIA-385-FAIA240165.pdf | |
| Language: | English | |
| Post date: | 03.10.2025 |