March 20, 2026 article A haematological data-driven approach for the classification and early detection of Anaemia in women using machine learning techniques: a comparative analysis of Random Forest and Logistic Regression models Australian Journal of Electrical & Electronics Engineering DOI: 10.1080/1448837x.2025.2611668 OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 1 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Machine Learning-Based Prediction of Hemoglobinopathies Using Complete Blood Count Data 2024 Clinical Chemistry article Medicine Hemoglobinopathies and Related Disorders Open access 32 citations 1 result