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.

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Faisal, Shah
مؤلفون آخرون:	Haque, Munima
التنسيق:	أطروحة
اللغة:	English
منشور في:	Brac University 2024
الموضوعات:	Cervical cancer Comparative analysis Predictive modeling Machine learning Healthcare infrastructure Cervix uteri > Cancer > Diagnosis. Machine learning > Computer programs
الوصول للمادة أونلاين:	http://hdl.handle.net/10361/22686

مواد مشابهة

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Cervical Cancer Detection from Cervix Image Using Pap smear Imaging through CNN
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Diagnosis of cervical cancer using effective hybrid model in Bangladesh
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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
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Review on cervical cancer: effective vaccination project
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Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children
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Skin cancer classification for seven types of skin lesions
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Skin cancer detection and classification using multiple optimized deep convolutional neural network
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A counseling system to predict the study path for freshmen
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Machine learning for stress prediction
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A comparative study of lung cancer prediction using deep learning
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Statistics and informatics in molecular cancer research

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A deep learning approach to predict crypto-currency price by evaluating sentiment and stock market correlations
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Prediction of anxiety and depression among the transgender in Bangladesh
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Investigation assistant with suspect anticipating intelligence
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