Prognostic Models in Medicine

AUTOIMMUNE THROMBOCYTOPENIA

AS Luchinin

Kirov Research Institute of Hematology and Transfusiology, 72 Krasnoarmeiskaya ul., Kirov, Russian Federation, 610027

For correspondence: Aleksander Sergeevich Luchinin, MD, PhD, 72 Krasnoarmeiskaya ul., Kirov, Russian Federation, 610027; Tel.: +7(919)506-87-86; e-mail: glivec@mail.ru

For citation: Luchinin AS. Prognostic Models in Medicine. Clinical oncohematology. 2023;16(1):27–36. (In Russ).

DOI: 10.21320/2500-2139-2023-16-1-27-36

ABSTRACT

Medical prognostic (prediction) models (MPM) are essential in modern healthcare. They determine health and disease risks and are created to improve diagnosis and treatment outcomes. All MPMs fall into two categories. Diagnostic medical models (DMM) aim at assessing individual risk for a disease present, whereas predictive medical models (PMM) evaluate the risk for development of a disease and its complications in future. This review discusses DMM and PMM characteristics, conditions for their elaboration, criteria for medical application, also in hematology, as well as challenges of their creation and quality check.

Keywords: prognostic model, artificial intelligence.

Received: September 13, 2022

Accepted: December 7, 2022

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Статистика Plumx английский

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