%0 Conference Paper %1 werner:2003:PKDD %A Werner, James Cunha %A Kalganova, Tatiana %B The ECML/PKDD-2003 Discovery Challenge Workshop %C Cavtat-Dubrovnik, Croatia %D 2003 %E Berka, Petr %K algorithms, diagnostic genetic medical programming, %P 120--134 %T Risk Evaluation using Evolvable Discriminate Function %U http://www.geocities.com/jamwer2002/arte1.pdf %X This essay proposes a new approach to risk evaluation using disease mathematical modelling. The mathematical model is an algebraic equation of the available database attributes and is used to evaluate the patient condition. If its value is greater than zero it means that the patient is ill (or in risk condition), otherwise healthy. In practice risk evaluation has been a very difficult problem mainly due its sporadic behaviour (suddenly, the patient has a stroke, etc as a condition aggravation) and its database representation. The database contains, under the label of risk patient data, information of the patient condition that sometimes is in risk condition and sometimes is not, introducing errors in the algorithm training. The study was applied to Atherosclerosis database from Discovery Challenge 2003 - ECML/PKDD 2003 workshop.

@inproceedings{werner:2003:PKDD, abstract = {This essay proposes a new approach to risk evaluation using disease mathematical modelling. The mathematical model is an algebraic equation of the available database attributes and is used to evaluate the patient condition. If its value is greater than zero it means that the patient is ill (or in risk condition), otherwise healthy. In practice risk evaluation has been a very difficult problem mainly due its sporadic behaviour (suddenly, the patient has a stroke, etc as a condition aggravation) and its database representation. The database contains, under the label of risk patient data, information of the patient condition that sometimes is in risk condition and sometimes is not, introducing errors in the algorithm training. The study was applied to Atherosclerosis database from Discovery Challenge 2003 - ECML/PKDD 2003 workshop.}, added-at = {2008-06-19T17:35:00.000+0200}, address = {Cavtat-Dubrovnik, Croatia}, author = {Werner, James Cunha and Kalganova, Tatiana}, biburl = {https://www.bibsonomy.org/bibtex/26d43ca13d725a9996cc202488fb906b8/brazovayeye}, booktitle = {The {ECML/PKDD-2003} Discovery Challenge Workshop}, editor = {Berka, Petr}, interhash = {dbbc93057e3d10b84dd6c1e7738d81d6}, intrahash = {6d43ca13d725a9996cc202488fb906b8}, keywords = {algorithms, diagnostic genetic medical programming,}, month = {September 23}, notes = {http://lisp.vse.cz/challenge/ecmlpkdd2003/chall2003.htm 14th European Conference on Machine Learning and 7th European Conference on Principles and Practice of Knowledge Discovery in Databases ECML/PKDD-2003}, pages = {120--134}, size = {12 pages}, timestamp = {2008-06-19T17:54:05.000+0200}, title = {Risk Evaluation using Evolvable Discriminate Function}, url = {http://www.geocities.com/jamwer2002/arte1.pdf}, year = 2003 }