Application and Evaluation of Ensemble Machine Learning Models for the Differential Diagnosis of Clinical and Hematological Syndromes in the Health Passport Software Package

Development, evaluation, and visualization of machine learning models for the differential diagnosis of anemia and its subtypes based on clinical blood test indicators using ensemble and neural network optimization techniques integrated into a health monitoring software environment.

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Publication Details

Journal
Engineered Science
Published
2025-01-01
DOI
https://doi.org/10.30919/es1635
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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article

Application and Evaluation of Ensemble Machine Learning Models for the Differential Diagnosis of Clinical and Hematological Syndromes in the Health Passport Software Package

Indira Uvaliyeva, Zhenisgul Rakhmetullina, David Borozenets
Engineered Science
Artificial Intelligence in Healthcare
article

Application and Evaluation of Ensemble Machine Learning Models for the Differential Diagnosis of Clinical and Hematological Syndromes in the Health Passport Software Package

Indira Uvaliyeva, Zhenisgul Rakhmetullina, David Borozenets
article en

Abstract

Development, evaluation, and visualization of machine learning models for the differential diagnosis of anemia and its subtypes based on clinical blood test indicators using ensemble and neural network optimization techniques integrated into a health monitoring software environment.

Engineered Science
D. Serikbayev East Kazakhstan State Technical University (KZ)
Openalex Percentile: Top 79%
Artificial Intelligence in Healthcare
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