Comparative analysis and machine learning predictions of cervical cancer incidence: a multi-national study

Comparative analysis and machine learning predictions of cervical cancer incidence: a multi-national study

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Biotechnology and Bachelor of Science in Microbiology, 2023.

Библиографические подробности
Главный автор:	Faisal, Shah
Другие авторы:	Haque, Munima
Формат:	Диссертация
Язык:	English
Опубликовано:	Brac University 2024
Предметы:	Cervical cancer Comparative analysis Predictive modeling Machine learning Healthcare infrastructure Cervix uteri > Cancer > Diagnosis. Machine learning > Computer programs
Online-ссылка:	http://hdl.handle.net/10361/22686

Схожие документы

Early detection of cervical cancer using deep neural networks
по: Akhund, Atoshi, и др.
Опубликовано: (2023)

Decoding the functional roles of intronic microRNA miR-2355 and its host gene KLF7 in immunobiology of cervical cancer
по: Samia, Nure Sharaf Nower
Опубликовано: (2021)

Machine learning as an indicator for breast cancer prediction
по: Shadman, Tahsin Mohammed, и др.
Опубликовано: (2019)

Cervical Cancer Detection from Cervix Image Using Pap smear Imaging through CNN
по: Bhuiyan, Mazedul Haque, и др.
Опубликовано: (2021)

Breast cancer prediction using different machine learning models
по: Khandker Al- Muhaimin, и др.
Опубликовано: (2020)

Diagnosis of cervical cancer using effective hybrid model in Bangladesh
по: Saad-Ul-Kabir, Syed, и др.
Опубликовано: (2021)

A comparative analysis of deep learning and hybrid models to diagnose multi-class skin cancer
по: Nawrin, Ishrat Nur, и др.
Опубликовано: (2023)

Lung cancer detection and classification using machine learning
по: Arefin, Mahbubul, и др.
Опубликовано: (2023)

A review on the socio-demographic and cultural factors associated with the delayed diagnosis of cervical cancer and possible interventions in screening attitude: From South Asian perspective
по: Tarannum, Nafisa, и др.
Опубликовано: (2023)

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

Hypothesizing precise cancer treatments based on patient survival using machine learning & deep learning
по: Sakib, Hasibul, и др.
Опубликовано: (2024)

Review on cervical cancer: effective vaccination project
по: Humayra, Ayonti
Опубликовано: (2024)

Awareness of cervical cancer vaccination among educated females: a Bangladeshi perspective
по: Taniya, Sumaiya Akter
Опубликовано: (2023)

Detection of acute Lymphocytic Leukemia (ALL) and its type by image processing and machine learning
по: Chowdhury, Himadri, и др.
Опубликовано: (2019)

Survey on patients undergoing treatments for cervical, endometrial and ovarian cancer
по: Nawar, Anika
Опубликовано: (2019)

Detection of skin cancer using Convolutional neural network
по: Ahsan, Abu Sa-adat Mohamed Moon-Im Al, и др.
Опубликовано: (2020)

Predicting climate induced floods using machine learning
по: Saleh, Chowdhury Nafis, и др.
Опубликовано: (2022)

Use of machine learning and weather predictions to bridge the gap between consumer demands and the market requirements of food crops
по: Hasan, Raad, и др.
Опубликовано: (2021)

Comparative analysis between machine learning algorithms in efficiency of Coronary Heart Disease (CHD) prediction
по: Oishi, Fayza Rezwana, и др.
Опубликовано: (2020)

Point-of care diagnostic devices in cancer detection
по: Yasmin, Rizwana
Опубликовано: (2022)

Machine learning In breast cancer prognosis and prediction
по: Chowdhury, Shah Abul Hasnat, и др.
Опубликовано: (2023)

Predicting the outcome of purchasing a hotel package to assist policymakers using machine learning
по: Islam, Zahedul, и др.
Опубликовано: (2023)

An efficient deep learning approach to detect skin Cancer
по: Islam, Ashfaqul, и др.
Опубликовано: (2022)

Developing a machine learning based prognostic model and a supporting web-based application for predicting the possibility of early diabetes and diabetic kidney disease
по: Amin, M.M. Shahriar, и др.
Опубликовано: (2021)

Implementing machine learning techniques to forecast floods In Bangladesh based on historical data
по: Toufique, S.M, и др.
Опубликовано: (2024)

Recent advancement on breast cancer detection and treatment
по: Rahman, Sanjida
Опубликовано: (2023)

Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children
по: Alhossen, Md., и др.
Опубликовано: (2021)

Skin cancer classification for seven types of skin lesions
по: Rahman, Md. Tawsifur, и др.
Опубликовано: (2024)

Skin cancer detection and classification using multiple optimized deep convolutional neural network
по: Sakir, Adnan, и др.
Опубликовано: (2023)

A counseling system to predict the study path for freshmen
по: Usha, Rowshni Tasneem, и др.
Опубликовано: (2019)

Yield prediction for precision agriculture using extreme gradient boosting and support vector regression
по: Ahmed, Md. Sabbir, и др.
Опубликовано: (2021)

Machine learning for stress prediction
по: Salehin, Sherajus, и др.
Опубликовано: (2023)

A comparative study of lung cancer prediction using deep learning
по: Mugdho, Aka Mohammad, и др.
Опубликовано: (2023)

Heart disease prediction using machine learning algorithms
по: Ali, Musfiq, и др.
Опубликовано: (2019)

Statistics and informatics in molecular cancer research

Prostate cancer detection using deep learning neural network with transfer learning approach
по: Badhon, Ariful Islam Mahmud, и др.
Опубликовано: (2022)

A deep learning approach to predict crypto-currency price by evaluating sentiment and stock market correlations
по: Maliha, Miftahul Zannat, и др.
Опубликовано: (2023)

Detecting Adverse Drug Reaction (ADR) with data mining and predicting its intensity with machine learning
по: Hussain, Nadib, и др.
Опубликовано: (2018)

Prediction of anxiety and depression among the transgender in Bangladesh
по: Easha, Ishrat Jahan, и др.
Опубликовано: (2023)

Investigation assistant with suspect anticipating intelligence
по: Abdullah, Saqueeb, и др.
Опубликовано: (2019)