title: [Individual prognosis of critically ill patients with septic shock by neural network?].
abstract: 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%).
authors.affiliation: Klinik für Allgemeinchirurgie, Johann-Wolfgang-Goethe-Universität Frankfurt/Main.
authors.forename: E
authors.initials: E
authors.lastname: Hanisch
authors.forename: M
authors.initials: M
authors.lastname: Büssow
authors.forename: R
authors.initials: R
authors.lastname: Brause
authors.forename: A
authors.initials: A
authors.lastname: Encke
mesh_terms: 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
vernacular_title: Individuelle Prognose bei kritisch kranken Patienten mit septischem Schock durch ein neuronales Netz?