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.

Bibliografiska uppgifter
Huvudupphovsmän: Sakib, Hasibul, Alok, Aditto Baidya, Huq, Fardin, Ullah, Shamsil Arafin, Ghosh, Riya
Övriga upphovsmän: Shakil, Arif
Materialtyp: Lärdomsprov
Språk:English
Publicerad: Brac University 2024
Ämnen:
SEER Data
Machine learning
Deep Learning
Cancer
Survivability
Machine learning.
Data mining.
Cancer > Chemotherapy.
Cancer > Radiotherapy.
Länkar:http://hdl.handle.net/10361/22713

Internet

http://hdl.handle.net/10361/22713

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