@article{scholars8017,
            year = {2016},
           pages = {395--402},
       publisher = {Springer Verlag},
         journal = {Advances in Intelligent Systems and Computing},
             doi = {10.1007/978-3-662-47926-1{$_3$}{$_8$}},
            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},
          volume = {382},
           title = {Development of mathematical model using group contribution method to predict exposure limit values in air for safeguarding health},
            isbn = {9783662479254},
          author = {El-Harbawi, M. and Trang, P. T. K.},
            issn = {21945357},
        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. {\^A}{\copyright} Springer-Verlag Berlin Heidelberg 2016.},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946762044&doi=10.1007\%2f978-3-662-47926-1\%5f38&partnerID=40&md5=630714ffe3e7c72a3e21dbc8de3a3895},
        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}
}