title: [Population Dynamics of Cancer: a Model of Second Order Phase Transition].
abstract: The paper deals with an approach to the description of the age and temporal dynamics of cancer, based on the model describing the dynamics of the age of cancer as a second order phase transition. This approach is widely used for studying physical systems. This model of cancer development as second order phase transitions is in a good agreement with medical statistics. The cancer incidence dynamics is described only with two free parameters, easily verified according to statistics and well interpreted. The applicability of the second order phase transition model for description of a non-physical system defines the universal nature of the processes occurring during phase transitions.
authors.forename: V G
authors.initials: VG
authors.lastname: Soukhovolsky
authors.forename: Y D
authors.initials: YD
authors.lastname: Ivanova
authors.forename: K
authors.initials: K
authors.lastname: Shulman
authors.forename: V F
authors.initials: VF
authors.lastname: Mazharov
authors.forename: I V
authors.initials: IV
authors.lastname: Tarasova
authors.forename: O V
authors.initials: OV
authors.lastname: Tarasova
authors.forename: R G
authors.initials: RG
authors.lastname: Khlebopros
mesh_terms: D000328:Adult; D017677:Age Distribution; D000367:Age Factors; D002648:Child; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D008877:Middle East / Q000453:epidemiology; D015233:Models, Statistical; D009369:Neoplasms / Q000145:classification / Q000175:diagnosis* / Q000453:epidemiology* / Q000473:pathology; D011157:Population Dynamics / Q000706:statistics & numerical data*; D012426:Russia / Q000453:epidemiology; D012737:Sex Factors; D014481:United States / Q000453:epidemiology