Early detection of chronic kidney disease using machine learning

Early detection of chronic kidney disease using machine learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.

Bibliografiska uppgifter
Huvudupphovsmän:	Abrar, Tahmid, Tasnim, Samiha, Hossain, Md. Mehrab
Övriga upphovsmän:	Alam, Md Ashraful
Materialtyp:	Lärdomsprov
Språk:	English
Publicerad:	Brac University 2019
Ämnen:	Chorionic kidney disease XGBoost Support Vector Regressor (SVR) Logistic Regressor (LR) AdaBoost Gradient Boosting Tree and Decision Tree Regressor Machine learning
Länkar:	http://hdl.handle.net/10361/12817

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