[Individual prognosis of critically ill patients with septic shock by neural network?].
From 1. 11. 93 to 30. 3. 97, 1149 patients were prospectively studied during their ICU stay. Of them, 114 met the criteria of septic shock, with lethality of 47.3%. A neural network was trained with datasets from 91 of these 114 patients. Testing the trained neural network with the remaining 23 patients, the following result was obtained: all 10 patients dying from septic shock were correctly predicted; of 13 surviving patients, 12 were correctly identified (sensitivity 100%; specificity 92.3%).
Hanisch
E
E
Klinik für Allgemeinchirurgie, Johann-Wolfgang-Goethe-Universität Frankfurt/Main.
Büssow
M
M
Brause
R
R
Encke
A
A
D018806:APACHE; D000293:Adolescent; D000328:Adult; D000368:Aged; D003936:Diagnosis, Computer-Assisted; D005260:Female; D006801:Humans; D007362:Intensive Care Units; D008297:Male; D008875:Middle Aged; D009102:Multiple Organ Failure / Q000175:diagnosis / Q000401:mortality; D016571:Neural Networks, Computer; D011379:Prognosis; D012680:Sensitivity and Specificity; D012720:Severity of Illness Index; D012772:Shock, Septic / Q000175:diagnosis* / Q000401:mortality; D015996:Survival Rate
Individuelle Prognose bei kritisch kranken Patienten mit septischem Schock durch ein neuronales Netz?