title: Development of a rule based prognostic tool for HER 2 positive breast cancer patients.
abstract: A three stage development process for the production of a hierarchical rule based prognosis tool is described. The application for this tool is specific to breast cancer patients that have a positive expression of the HER 2 gene. The first stage is the development of a Bayesian classification neural network to classify for cancer specific mortality. Secondly, low-order Boolean rules are extracted form this model using an Orthogonal Search based Rule Extraction (OSRE) algorithm. Further to these rules additional information is gathered from the Kaplan-Meier survival estimates of the population, stratified by the categorizations of the input variables. Finally, expert knowledge is used to further simplify the rules and to rank them hierarchically in the form of a decision tree. The resulting decision tree groups all observations into specific categories by clinical profile and by event rate. The practical clinical value of this decision support tool will in future be tested by external validation with additional data from other clinical centres.
authors.affiliation: School of Computing and Mathematical Sciences, Liverpool John Moores University, Liverpool, UK. p.j.lisboa@ljmu.ac.uk
authors.forename: Paulo J G
authors.initials: PJ
authors.lastname: Lisboa
authors.forename: Terence A
authors.initials: TA
authors.lastname: Etchells
authors.forename: Ian H
authors.initials: IH
authors.lastname: Jarman
authors.forename: M S Hane
authors.initials: MS
authors.lastname: Aung
authors.forename: Sylvie
authors.initials: S
authors.lastname: Chabaud
authors.forename: Thomas
authors.initials: T
authors.lastname: Bachelot
authors.forename: David
authors.initials: D
authors.lastname: Perol
authors.forename: Thérèse
authors.initials: T
authors.lastname: Gargi
authors.forename: Valérie
authors.initials: V
authors.lastname: Bourdès
authors.forename: Stéphane
authors.initials: S
authors.lastname: Bonnevay
authors.forename: Sylvie
authors.initials: S
authors.lastname: Négrier
mesh_terms: D000465:Algorithms; D001943:Breast Neoplasms / Q000378:metabolism* / Q000401:mortality*; D005260:Female; D005602:France / Q000453:epidemiology; D006801:Humans; D015994:Incidence; D016015:Logistic Models; D011379:Prognosis; D016016:Proportional Hazards Models; D018719:Erb-b2 Receptor Tyrosine Kinases / Q000378:metabolism*; D015203:Reproducibility of Results; D018570:Risk Assessment / Q000379:methods*; D012307:Risk Factors; D012680:Sensitivity and Specificity; D012984:Software; D016019:Survival Analysis; D015996:Survival Rate
chemical_list: D018719:Erb-b2 Receptor Tyrosine Kinases