title: [A method for predicting the efficiency of rehabilitative treatment based on decision tree analysis].
abstract: The necessity of the choice of means and methods to facilitate optimal correction of individual reserves of the organism accounts for the importance of the search for the most efficient preventive, therapeutic, and rehabilitative modalities. One way to address this problem is to simulate prognosis of the outcomes of rehabilitative treatment. It is proposed to use a two-step method to achieve this goal. Step 1 consists of construction of the decision tree to perform categorization of all objects of interest (patients) into the previously established classes; it provides a basis for step 2 or classification proper of new observations. The original software program ensures high accuracy of prognosis of the efficiency of two scenarios of combined sanatorium and spa treatment used in the present study. A special case of application of the decision tree analysis in clinical practice is considered. It is concluded that this approach can be recommended for the use in all specialized medical and health care facilities for the management of a variety of pathological conditions.
authors.forename: A A
authors.initials: AA
authors.lastname: Zaĭtsev
authors.forename: E F
authors.initials: EF
authors.lastname: Levitskiĭ
authors.forename: I A
authors.initials: IA
authors.lastname: Khodashanskiĭ
authors.forename: L V
authors.initials: LV
authors.lastname: Barabash
authors.forename: O O
authors.initials: OO
authors.lastname: Plotnikov
mesh_terms: D003658:Decision Making, Computer-Assisted; D006294:Health Resorts; D006801:Humans; D012046:Rehabilitation / Q000379:methods*; D012984:Software; D016896:Treatment Outcome