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.

Xehetasun bibliografikoak
Egile Nagusiak:	Khandker Al- Muhaimin, Tahsan Mahmud, Sudeepta Acharya, Ashiqul Islam
Beste egile batzuk:	Alam, Md. Ashraful
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2020
Gaiak:	Supervised learning Comparative study Breast cancer Cancer prediction Adaboost classifier PCA Image processing Machine learning
Sarrera elektronikoa:	http://hdl.handle.net/10361/13780

Antzeko izenburuak

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

Breast cancer awareness seminars
nork: Anwer Khan Modern Medical College
Argitaratua: (2016)

Recent advancement on breast cancer detection and treatment
nork: Rahman, Sanjida
Argitaratua: (2023)

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

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

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

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

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

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

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

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

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

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

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

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

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

Cervical Cancer Detection from Cervix Image Using Pap smear Imaging through CNN
nork: Bhuiyan, Mazedul Haque, et al.
Argitaratua: (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
nork: Iqbal, Mohammad Shamim, et al.
Argitaratua: (2017)

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

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

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

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

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

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

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

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

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

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

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

Statistics and informatics in molecular cancer research

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

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

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

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

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

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

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

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

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

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