Biological Data Analysis for Disease Prediction and Classification in Bioinformatics

A type of cancer known as leukemia occurs when many immature lymphocyte blood cells develop and obstruct the development of other blood cells. Leukemia is typically detectable through the use of the Complete Blood Count (CBC) test. Leukemia is indicated by either an excess or a shortage of a certain...

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Bibliographic Details
Published in2024 8th International Conference on Inventive Systems and Control (ICISC) pp. 435 - 440
Main Authors Shree, D. Vijaya, Shiva Kumar, B.L., Ganesan, V., Sivaraman, M., Sumitha, J.
Format Conference Proceeding
LanguageEnglish
Published IEEE 29.07.2024
Subjects
Accuracy
Adaptation models
Algorithms
Cells (biology)
Classification
Confusion Matrix
Data Mining
Evaluation
Machine learning algorithms
Medical services
Prediction algorithms
Predictive models
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Summary:A type of cancer known as leukemia occurs when many immature lymphocyte blood cells develop and obstruct the development of other blood cells. Leukemia is typically detectable through the use of the Complete Blood Count (CBC) test. Leukemia is indicated by either an excess or a shortage of a certain type of blood cell in the complete blood count (CBC). Leukemia can be lethal in adults even though it affects youngsters 80% of the time. Therefore, early leukemia detection is critical to saving lives. Rapid leukemia diagnosis can be facilitated by computer technology. After that, the features were used to train and evaluate several machine learning classification methods, including SVM, and Random Forest. The most effective classifier can be found by comparing its performance against several performance criteria, such as accuracy and precision.
DOI:10.1109/ICISC62624.2024.00080