Open Access Open Access  Restricted Access Subscription or Fee Access

Combining Survival Analysis and Neural Networks to predict Life Expectancy

Lazaros Iliadis, Kyriaki Kitikidou, Kassiani Skoularik


This paper aims to shed light in the contribution of determinants to the health status of the population and to provide evidence on whether or not these determinants are producing similar results, in the countries of the Organization for Economic Co-operation and Development (OECD). This is done by employing two different approaches, namely Cox regression and Artificial Neural Networks in. In this study, one output – Life Expectancy (LE) at birth of the total population – and seven inputs are included. The inputs represent the three main dimensions of health outcome production: health resources (measured by health spending or the number of health practitioners), socioeconomic environment (pollution, education and income) and lifestyle (tobacco, alcohol and diet). A variable expressing country specificities is also used. The two distinct approaches performed reached the same conclusion, that health resources and country specific effects are more closely related to LE


Artificial Neural Networks, Cox regression, Health status, Survival analysis.

Full Text:


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.