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The mathematical approaches to differential diagnostics of acute pharyngeal diseases.

Abstract The objective of the present study was to elaborate the program for differential diagnostics of acute pharyngeal diseases based on the 'ENT-Neuro' artificial neuronal network. The study group was formed by means of sampling patients with acute pharyngeal diseases from a set of case histories of the subjects presenting with acute inflammatory diseases. The data thus obtained were employed to develop the expert system to support the decision making process with the use of the 'ENT-Neuro' artificial neuronal network that allows to carry out diagnostics of various inflammatory diseases of the pharynx including the following nosological entities: paratonsillitis, parapharyngitis, acute tonsillitis, and acute pharyngitis, with the minimal probability of erroneous diagnosis (4%). The proposed expert system makes it possible to choose the optimal treatment strategy for the management of various pharyngeal diseases taking into consideration the severity of a concrete pathology and thereby to reduce to a minimum the risk of the related complications.
PMID
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Authors

Mayor MeshTerms

Neural Networks (Computer)

Pharyngeal Diseases

Keywords
Journal Title vestnik otorinolaringologii
Publication Year Start




PMID- 28514359
OWN - NLM
STAT- MEDLINE
DA  - 20170517
DCOM- 20170710
LR  - 20170713
IS  - 0042-4668 (Print)
IS  - 0042-4668 (Linking)
VI  - 82
IP  - 2
DP  - 2017
TI  - [The mathematical approaches to differential diagnostics of acute pharyngeal
      diseases].
PG  - 24-28
LID - 10.17116/otorino201782224-28 [doi]
AB  - The objective of the present study was to elaborate the program for differential 
      diagnostics of acute pharyngeal diseases based on the 'ENT-Neuro' artificial
      neuronal network. The study group was formed by means of sampling patients with
      acute pharyngeal diseases from a set of case histories of the subjects presenting
      with acute inflammatory diseases. The data thus obtained were employed to develop
      the expert system to support the decision making process with the use of the
      'ENT-Neuro' artificial neuronal network that allows to carry out diagnostics of
      various inflammatory diseases of the pharynx including the following nosological 
      entities: paratonsillitis, parapharyngitis, acute tonsillitis, and acute
      pharyngitis, with the minimal probability of erroneous diagnosis (4%). The
      proposed expert system makes it possible to choose the optimal treatment strategy
      for the management of various pharyngeal diseases taking into consideration the
      severity of a concrete pathology and thereby to reduce to a minimum the risk of
      the related complications.
FAU - Yastremsky, A P
AU  - Yastremsky AP
AD  - Department of ENT Diseases, Tyumen State Medical University, Tyumen, Russia,
      625023.
FAU - Izvin, A I
AU  - Izvin AI
AD  - Department of ENT Diseases, Tyumen State Medical University, Tyumen, Russia,
      625023.
LA  - rus
PT  - Journal Article
TT  - Matematicheskie podkhody k differentsial'noi diagnostike ostrykh zabolevanii
      glotki.
PL  - Russia (Federation)
TA  - Vestn Otorinolaringol
JT  - Vestnik otorinolaringologii
JID - 0416577
SB  - IM
MH  - Acute Disease
MH  - Adult
MH  - Diagnosis, Differential
MH  - Disease Management
MH  - Female
MH  - Humans
MH  - Male
MH  - *Neural Networks (Computer)
MH  - Patient Selection
MH  - *Pharyngeal Diseases/diagnosis/therapy
MH  - Severity of Illness Index
EDAT- 2017/05/18 06:00
MHDA- 2017/07/14 06:00
CRDT- 2017/05/18 06:00
PST - ppublish
SO  - Vestn Otorinolaringol. 2017;82(2):24-28. doi: 10.17116/otorino201782224-28.