Hypothesizing precise cancer treatments based on patient survival using machine learning & deep learning

Hypothesizing precise cancer treatments based on patient survival using machine learning & deep learning

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

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Sakib, Hasibul, Alok, Aditto Baidya, Huq, Fardin, Ullah, Shamsil Arafin, Ghosh, Riya
مؤلفون آخرون:	Shakil, Arif
التنسيق:	أطروحة
اللغة:	English
منشور في:	Brac University 2024
الموضوعات:	SEER Data Machine learning Deep Learning Cancer Survivability Machine learning. Data mining. Cancer > Chemotherapy. Cancer > Radiotherapy.
الوصول للمادة أونلاين:	http://hdl.handle.net/10361/22713

مواد مشابهة

Machine learning as an indicator for breast cancer prediction
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Lung cancer detection and classification using machine learning
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A comparative analysis of deep learning and hybrid models to diagnose multi-class skin cancer
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Detection of acute Lymphocytic Leukemia (ALL) and its type by image processing and machine learning
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Breast cancer prediction using different machine learning models
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Comparative analysis and machine learning predictions of cervical cancer incidence: a multi-national study
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Early detection of breast cancer using machine learning
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Comparing effectiveness and safety of combination therapy for esophageal and gastro esophageal junction cancer: a comprehensive meta-analysis
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منشور في: (2024)

Pooled analysis of progression-free survival and overall survival in phase II clinical trials of breast cancer
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Cancer classification using deep learning from medical image data
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منشور في: (2022)

An efficient deep learning approach to detect skin Cancer
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منشور في: (2022)

Prostate cancer detection using deep learning neural network with transfer learning approach
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منشور في: (2022)

Clinical outcomes and safety comparison of gemcitabine plus cisplatin, capecitabine monotherapy, and gemcitabine plus oxaliplatin in the management of gallbladder carcinoma: a comprehensive meta-analysis
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Detection of fake identities on twitter using supervised machine learning
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A review of Breast Cancer risk factor assessment on women in developing countries, cancer drug resistance, and Breast Cancer treatment in Bangladesh
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A machine learning approach to detect depression and anxiety using supervised learning
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Multimodal human detection in disaster situations using deep learning & artificial intelligence
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Statistics and informatics in molecular cancer research

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An implementation and analysis of deep learning models for the detection of wheat diseases
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A Study of gainful employment of learners receiving skills training in the informal sector using Machine Learning
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An examination of therapeutic synergy: a comprehensive meta-analysis comparing the efficacy of TAS-102 and FOLFOX as a combination therapy for colon cancer
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Skin cancer detection and classification using multiple optimized deep convolutional neural network
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Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
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Predicting depression in Bangladeshi undergraduates using machine learning
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Survey on patients undergoing treatments for cervical, endometrial and ovarian cancer
بواسطة: Nawar, Anika
منشور في: (2019)

Machine learning In breast cancer prognosis and prediction
بواسطة: Chowdhury, Shah Abul Hasnat, وآخرون
منشور في: (2023)

Heart disease prediction using machine learning algorithms
بواسطة: Ali, Musfiq, وآخرون
منشور في: (2019)

Machine learning and statistics : the interface /
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Cancer risk factors: a critical review
بواسطة: Tabassum, Tahsina
منشور في: (2017)

An efficient deep learning approach to classify white blood cells
بواسطة: Turja, Afif Ibna Kadir Khan, وآخرون
منشور في: (2024)

Effect of performance status on efficacy endpoints in phase II trials of non-small cell lung cancer
بواسطة: Paul, Pulock
منشور في: (2024)

Public vehicle ETA system using machine learning
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منشور في: (2018)

Predicting depression in Bangladeshi undergraduates using machine learning
بواسطة: Choudhury, Ahnaf Atef, وآخرون
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Document template identification and data extraction using machine learning and deep learning approach
بواسطة: Roy, Kaushik, وآخرون
منشور في: (2024)

Flood prediction using ensemble machine learning models
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منشور في: (2024)

Alumni opportunities using machine learning
بواسطة: Siaum, Arshif Sharlimin, وآخرون
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Analysis of the impact of online education using EEG signals and machine learning algorithms
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Start up business solution using machine learning
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منشور في: (2018)

Impact of machine learning and deep learning on biomedical applications and healthcare industry
بواسطة: Kabir, Md Saif, وآخرون
منشور في: (2024)