Neutrosophic rule-based prediction system for toxicity effects assessment of biotransformed hepatic drugs

作者：

Highlights：

• Novel Neutrosophic Rule-based Classification System (NRCS) models are proposed.

• Our dataset has 553 drugs that were bio-transformed into liver.

• Three rough set-based algorithms are used for features selection.

• Three sampling algorithms are used to obtain balanced data.

• The proposed model obtained promising results.

摘要

•Novel Neutrosophic Rule-based Classification System (NRCS) models are proposed.•Our dataset has 553 drugs that were bio-transformed into liver.•Three rough set-based algorithms are used for features selection.•Three sampling algorithms are used to obtain balanced data.•The proposed model obtained promising results.

论文关键词：Toxic effects,Drugs design,Neutrosophic theory,Rule-based classification,Prediction model

论文评审过程：Received 27 April 2018, Revised 7 December 2018, Accepted 8 December 2018, Available online 11 December 2018, Version of Record 19 December 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.12.014