Blood Cancer Prediction using Leukemia Microarray Gene Data and Deep Learning

Hossain, MD Mehdad; Siddiquee, MD Abul Kalam; Hossain, Muhammad Yeasin

dc.contributor.author	Hossain, MD Mehdad
dc.contributor.author	Siddiquee, MD Abul Kalam
dc.contributor.author	Hossain, Muhammad Yeasin
dc.date.accessioned	2024-08-29T05:30:54Z
dc.date.available	2024-08-29T05:30:54Z
dc.date.issued	2023-06-30
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dc.identifier.uri	http://hdl.handle.net/123456789/2139
dc.description	Supervised by Mr. Tareque Mohmud Chowdhury, Assistant Professor, Co-Supervisor, Tasnim Ahmed, Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh Lecturer	en_US
dc.description.abstract	The diagnosis of blood cancer with the use of any leukemia microarray gene se quence data and a machine learning approach is one of the most important fields of medical research. More advancements are needed to obtain the requisite accu racy and efficiency notwithstanding research efforts. Our work’s major goal is to present a method that, using microarray gene data, can accurately predict blood cancer. By increasing the classification accuracy for automated analysis of microarray data analysis, our research seeks to suggest a deep learning model to identify and categorize various types of leukemia. We will use the Leukemia GSE28497 dataset for training our model which contains 281 samples consisting of 22,285 genes (features) of 7 target classes. We preprocess the dataset by deleting null items before training our models. For the prediction of the blood cancer classes, we investigate three classification algorithms: logistic regression, single-layer neural networks, and TabNet. We use a variety of met rics, such as model accuracy, model loss, confusion matrix, train value accuracy, train value loss, and ROC curve, to measure the performance of our models. The outcomes of our studies analyze the effectiveness of deep learning models for clas sifying different forms of blood cancer from microarray gene dat	en_US
dc.language.iso	en	en_US
dc.publisher	Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh	en_US
dc.title	Blood Cancer Prediction using Leukemia Microarray Gene Data and Deep Learning	en_US
dc.type	Thesis	en_US