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Predicting Blood-Brain Barrie ( Flutter APP )

Flutter Application for Predicting the Blood−Brain Barrie


Predicting the ability of chemical species to cross the blood−brain barrier (BBB) is an active field of research for development and mechanistic understanding in the pharmaceutical industry.


Flutter APP

flutter-video_R6XKu1zy.mp4

Dataset

There are many databases for the blood-brain barrier, but we used this data because it is for humans and includes all the data used as it contains:  48 attributes of different types.  44 of them are numeric, 2 string and 2 null cells


Machine learning models:

Support vector Machine(SVM).

SVM-code


Logistic Regression.

LOG-Code


Gradient Boosting Classifier.

GBM-Code


K-Nearest Neighbor (KNN).

KNN-Code


Decision Tree.

Dtree-code


all

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Flutter Application for Predicting the Blood−Brain Barrie (Machine learning) (Python)

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