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@article{178730,
        author = {Smt. K S Sukrutha and Smt. Kavya S N and Ms. Chandana N and Ms. Deeksha S and Ms. Devika P and Ms. Sangeetha},
        title = {Haematological Harmony: Early Blood Cancer Detection},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {4828-4838},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178730},
        abstract = {Blood cancer, medically referred to as hematological malignancy, encompasses a group of cancers that originate in the blood, bone marrow, and lymphatic system. The timely detection and accurate diagnosis of blood cancer play a pivotal role in devising effective treatment strategies. The emerging field of machine learning has demonstrated immense promise in medical diagnostics and disease prediction. Thus, this project aims to leverage machine learning algorithms to develop a predictive model for blood cancer.},
        keywords = {Oncology, Haematological Malignancy, Pattern Recognition, Classification Algorithms, Haematology},
        month = {May},
        }