Building a Fuzzy Expert System for Assessing the Severity of Pneumonia-Reference-Cited by-同舟云学术

Building a Fuzzy Expert System for Assessing the Severity of Pneumonia

Published:2022-09-01 Issue: Volume: Page:380-396
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
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Author:

Burnashev Rustam,Enikeeva Adelya,Amer Ismail F.,Akhmedova Alfira,Bolsunovskaya Marina,Enikeev Arslan

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-16075-2_27

Reference24 articles.

1. Rudnov, V.A., Fesenko, A.A., Drozd, A.V.: A comparative analysis of diagnostic values of prognostic scales in patients with community acquired pneumonia admitted to ICU. Klinicheskaya mikrobiologiya i antimikrobnaya khimioterapiya 4(9), 330–336 (2007)

2. Arani, L.A., Sadoughi, F., Langarizadeh, M.: An expert system to diagnose pneumonia using fuzzy logic. Acta Informatica Medica 27(2), 103 (2019)

3. Nascimento, L.F.C., Rizol, P.M.S.R., Peneluppi, A.P.: Estimating the average length of hospitalization due to pneumonia: a fuzzy approach. Braz. J. Med. Biol. Res. 47, 977–981 (2014)

4. Wahyuni, E., Ramadhan, A.: Application for the diagnosis of pneumonia based on Pneumonia Severity Index (PSI) values. In: Proceeding of the Electrical Engineering Computer Science and Informatics, vol. 5, no. 1, pp. 107–112 (2018)

5. Tricahya, S., Rustam, Z.: Forecasting the amount of pneumonia patients in Jakarta with weighted high order fuzzy time series. In: IOP Conference Series: Materials Science and Engineering, vol. 546, no. 5, p. 052080. IOP Publishing (2019)

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