Development of Predictive Model for Emollients Adverse Effect using Bayesian Network

ARMAN, NURBATRISYIA AQILAH (2024) Development of Predictive Model for Emollients Adverse Effect using Bayesian Network. [Final Year Project] (Submitted)

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Abstract

Emollients are one of the most ordinarily used chemotherapeutic agents for the treatment of various diseases; mainly acting as moisturizers incorporated during the formulation of cosmetics and hygiene products.

Item Type:	Final Year Project
Subjects:	T Technology > TP Chemical technology
Departments / MOR / COE:	Engineering > Chemical
Depositing User:	Mr Ahmad Suhairi Mohamed Lazim
Date Deposited:	07 Aug 2024 01:53
Last Modified:	07 Jan 2025 08:27
URI:	http://utpedia.utp.edu.my/id/eprint/28433

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