eprintid: 8017
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/80/17
datestamp: 2023-11-09 16:19:52
lastmod: 2023-11-09 16:19:52
status_changed: 2023-11-09 16:10:58
type: article
metadata_visibility: show
creators_name: El-Harbawi, M.
creators_name: Trang, P.T.K.
title: Development of mathematical model using group contribution method to predict exposure limit values in air for safeguarding health
ispublished: pub
keywords: Algorithms; Health hazards; Learning algorithms; Linear regression; MATLAB, American conference of governmental industrial hygienists; Experimental assessment; Group contribution method; Multiple linear regressions; Occupational Exposure Limits; OELs; QSPR; Quantitative structure property relationships, Health
note: cited By 1; Conference of 2nd International Conference on Harmony Search Algorithm, ICHSA 2015 ; Conference Date: 19 August 2015 Through 21 August 2015; Conference Code:129199
abstract: Occupational Exposure Limits (OELs) are representing the amount of a workplace health hazard that most workers can be exposed to without harming their health. In this work, a new Quantitative Structure Property Relationships (QSPR) model to estimate occupational exposure limits values has been developed. The model was developed based on a set of 100 exposure limit values, which were published by the American Conference of Governmental Industrial Hygienists (ACGIH). MATLAB software was employed to develop the model based on a combination between Multiple Linear Regression (MLR) and polynomial models. The results showed that the model is able to predict the exposure limits with high accuracy, R2 = 0.9998. The model can be considered scientifically useful and convenient alternative to experimental assessments. © Springer-Verlag Berlin Heidelberg 2016.
date: 2016
publisher: Springer Verlag
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946762044&doi=10.1007%2f978-3-662-47926-1_38&partnerID=40&md5=630714ffe3e7c72a3e21dbc8de3a3895
id_number: 10.1007/978-3-662-47926-1₃₈
full_text_status: none
publication: Advances in Intelligent Systems and Computing
volume: 382
pagerange: 395-402
refereed: TRUE
isbn: 9783662479254
issn: 21945357
citation:   El-Harbawi, M. and Trang, P.T.K.  (2016) Development of mathematical model using group contribution method to predict exposure limit values in air for safeguarding health.  Advances in Intelligent Systems and Computing, 382.  pp. 395-402.  ISSN 21945357