Breast cancer prediction using different machine learning models

Breast cancer prediction using different machine learning models

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.

Bibliografiske detaljer
Main Authors:	Khandker Al- Muhaimin, Tahsan Mahmud, Sudeepta Acharya, Ashiqul Islam
Andre forfattere:	Alam, Md. Ashraful
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2020
Fag:	Supervised learning Comparative study Breast cancer Cancer prediction Adaboost classifier PCA Image processing Machine learning
Online adgang:	http://hdl.handle.net/10361/13780

Lignende værker

Machine learning as an indicator for breast cancer prediction
af: Shadman, Tahsin Mohammed, et al.
Udgivet: (2019)

Breast cancer awareness seminars
af: Anwer Khan Modern Medical College
Udgivet: (2016)

Recent advancement on breast cancer detection and treatment
af: Rahman, Sanjida
Udgivet: (2023)

Natural products and their combinatory effects in breast cancer treatment
af: Siddique, Md. Ayman
Udgivet: (2021)

Targeted therapeutic options in the treatment of Breast Cancer
af: Alam, Kazi Tasnuva
Udgivet: (2022)

A review of Breast Cancer risk factor assessment on women in developing countries, cancer drug resistance, and Breast Cancer treatment in Bangladesh
af: Raihan, Dilraj
Udgivet: (2024)

Early detection of breast cancer using machine learning
af: Fuad, Wasi Mohammad
Udgivet: (2019)

The impact of breast cancer on women’s lives in Bangladesh
af: Mobashera, Tayeeba Tum
Udgivet: (2024)

Pooled analysis of progression-free survival and overall survival in phase II clinical trials of breast cancer
af: Shobnam, Sohana
Udgivet: (2024)

Drug repurposing: potential of Antimicrobial Drugs in Breast Cancer Treatment
af: Chakraborty, Anuradha
Udgivet: (2024)

A review on triple-negative breast cancer and its potential treatment
af: Niasa, Jannatul Ferdous
Udgivet: (2023)

Comparison of conventional doxorubicin with liposome encapsulated doxorubicin as a treatment of breast cancer-a review
af: Akter, Honufa
Udgivet: (2024)

Machine learning In breast cancer prognosis and prediction
af: Chowdhury, Shah Abul Hasnat, et al.
Udgivet: (2023)

Breast cancer therapy through Liposomal drug delivery system
af: Ome, Nusrat Jahan
Udgivet: (2024)

Comparative analysis and machine learning predictions of cervical cancer incidence: a multi-national study
af: Faisal, Shah
Udgivet: (2024)

Targeting DHFR in breast cancer: exploring expression patterns and identifying potential inhibitors through docking studies
af: Araf, Faiaz Fahim
Udgivet: (2024)

Cervical Cancer Detection from Cervix Image Using Pap smear Imaging through CNN
af: Bhuiyan, Mazedul Haque, et al.
Udgivet: (2021)

Breast cancer in low-resource settings: Prioritizing the awareness and access programmes to overcome sociocultural and economic barriers for early detection and improved outcomes
af: Iqbal, Mohammad Shamim, et al.
Udgivet: (2017)

Pathway analysis of Disease-Gene associated network in the human breast cancer
af: Lamia
Udgivet: (2020)

A review on the potential of repurposing of metformin for colon cancer and breast cancer
af: Oishy, Jannatun Noor
Udgivet: (2024)

Breast cancer in South Asia: a Bangladeshi perspective
af: Hossain, Mohammad Sorowar, et al.
Udgivet: (2017)

Best feature selection and data visualization for breast cancer prediction
af: Hemel, Tanjim Ahmed, et al.
Udgivet: (2020)

Prostate cancer detection using deep learning neural network with transfer learning approach
af: Badhon, Ariful Islam Mahmud, et al.
Udgivet: (2022)

Lung cancer detection and classification using machine learning
af: Arefin, Mahbubul, et al.
Udgivet: (2023)

In silico analysis revealed hsa-miR-19a-3p and hsa-miR-19b-3p as two potential inhibitors of EGF mRNA in Breast Cancer
af: Nuha, Nabiha Tahsin
Udgivet: (2024)

Detection of skin cancer using Convolutional neural network
af: Ahsan, Abu Sa-adat Mohamed Moon-Im Al, et al.
Udgivet: (2020)

Flight fare prediction using machine learning
af: Noyon, Md. Shaim Hosan, et al.
Udgivet: (2024)

Hypothesizing precise cancer treatments based on patient survival using machine learning & deep learning
af: Sakib, Hasibul, et al.
Udgivet: (2024)

Association of BRCA1, BRCA2, RAD51, and HER2 gene polymorphisms with the breast cancer risk in the Bangladeshi population
af: Parvin, Salma, et al.
Udgivet: (2016)

Statistics and informatics in molecular cancer research

An efficient deep learning approach to detect skin Cancer
af: Islam, Ashfaqul, et al.
Udgivet: (2022)

Cancer classification using deep learning from medical image data
af: Monir, Raiyan Janik, et al.
Udgivet: (2022)

Genetic innovations for breast cancer treatment : a review of gene therapy strategies and future implications
af: Hasan, Sakib
Udgivet: (2024)

A comparative analysis of deep learning and hybrid models to diagnose multi-class skin cancer
af: Nawrin, Ishrat Nur, et al.
Udgivet: (2023)

Detection of acute Lymphocytic Leukemia (ALL) and its type by image processing and machine learning
af: Chowdhury, Himadri, et al.
Udgivet: (2019)

Tamoxifen: The ideal post operative hormonal therapy to demote Ductal Carcinoma in Situ
af: Mirza, Maisa Tasnim
Udgivet: (2023)

An enhanced CNN model for classifying skin cancer
af: Haider, Kazi MD Minhajul, et al.
Udgivet: (2022)

Application of deep convolutional neural network in breast cancer prediction using Digital Mammograms
af: Al Mamun, Rafsan, et al.
Udgivet: (2022)

Diagnosis of cervical cancer using effective hybrid model in Bangladesh
af: Saad-Ul-Kabir, Syed, et al.
Udgivet: (2021)

Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
af: Tasnim, Anika, et al.
Udgivet: (2022)