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

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