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Demonstration prototype of a decision support system designed to clinical interpretations of expanded coagulogram results at children with hemorrhagic diathesis

Keywords:

S.P. Olympieva – Ph.D. (Biol.), Leading Research Scientist, Russian national research medical university under the name N.I. Pirogov (Moscow)
D.D. Dolotova – Assistant, Russian national research medical university under the name N.I. Pirogov (Moscow)
V.V. Kilikovsky – Ph.D. (Biol.), Associate Professor, Russian national research medical university under the name N.I. Pirogov (Moscow)
C.M. Lobkova – Сlinical Intern, Russian national research medical university under the name N.I. Pirogov (Moscow)
A.N. Zacharova – Student, Russian national research medical university under the name N.I. Pirogov (Moscow)


The results of the second phase of the demonstration prototype of the clinical interpretation of laboratory tests in extended coagulogram (CILT COAG-2), whose main aim is the implementation of intelligent decision support in the diagnosis of hemostatic disorders. A prototype system, created by means of ACCESS database, focuses on the differential diagnosis of a group of diseases "hemorrhagic diathesis" in children with a specific type of bleeding (hematoma, microcirculatory or mixed). Developed in the first phase prototype system based on the results of the minimal coagulogram 1st stage (6 tests) formed diagnostic hypothesis as a "generalized" diagnostic conclusion – subgroup diagnoses containing from 1 to 12 final diagnoses with coinciding laboratory picture on the short list tests. Developed in the second stage prototype system solves the problem of differential diagnosis between final diagnoses included in diagnosed at the 1st stage subgroup diagnoses ("generalized" diagnostic conclusion), using a complete list of laboratory tests composing extended coagulogram (more40 tests). Implemented with the development of a demonstration prototype advisory system a two-step diagnostic process allows at each step to reduce the number of differentiable diagnoses and optimize the list of necessary laboratory tests used in the 2nd stage of diagnosis. During test run on historical data of 141 patients in 96 % (88...98 %) of the cases the correct diagnosis gets on top of the list of differentiable diagnoses, ranked by degree of agreement of the laboratory portrait with laboratory painting, identified in the patient.
References:

 

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June 24, 2020
May 29, 2020

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