Diagnostic errors in patients with diseases of the chest cavity and ways to reduce them

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This paper presents an algorithm for reducing the risk of errors in the diagnosis of diseases of the chest cavity within 14 days after treatment of patients. The developed algorithm, based on multivariate analysis of the integrated assessment of clinical and radiological descriptors (signs) of diseases, determination of the probability coefficient of errors, software for comparing individual integral data with established typical characteristics for differentiable pathological processes, improved diagnostics, aimed the doctor at an adequate examination, and reduced the risk of error by 20.1%.

作者简介

N. Lukyanenko

Altai State Medical University

编辑信件的主要联系方式.
Email: nik.lukyanenko.50@mail.ru
ORCID iD: 0000-0002-8703-1277

MD, PhD, DSc, Professor

俄罗斯联邦, Barnaul

Ya. Shoikhet

Altai State Medical University

Email: nik.lukyanenko.50@mail.ru
ORCID iD: 0000-0002-5253-4325
俄罗斯联邦, Barnaul

A. Lazarev

Altai State Medical University

Email: nik.lukyanenko.50@mail.ru
ORCID iD: 0000-0003-1080-5294
俄罗斯联邦, Barnaul

V. Lubennikov

Altai regional cancer clinic

Email: nik.lukyanenko.50@mail.ru
俄罗斯联邦, Barnaul

I. Vikhlyanov

Altai regional cancer clinic

Email: nik.lukyanenko.50@mail.ru
俄罗斯联邦, Barnaul

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