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Management - časopis za teoriju i praksu menadžmenta
2011, vol. 16, br. 59, str. 55-63
jezik rada: srpski, engleski
vrsta rada: neklasifikovan

Skriveni Markov modeli u medicini primenjeni u analizi vremenskih nizova podataka za otkrivanje upale pluća pneumonije u bolnicama
aUniversity Jena (FSU), Department of Information Systems, Jena, Germany
bUniversity Hospital, Jena, Germany

e-adresa: marek.opuszko@uni-jena.de, j.ruhland@wiwi.uni-jena.de

Sažetak

Pneumonija - kao zapaljenjsko oboljenje pluća - predstavlja opasnu i često fatalnu bolest. Od ventilatorne pneumonije (VAP), posebnog oblika ove bolesti, oboljeva otprilike jedna petina pacijenata u odeljenjima intenzivne nege (ICU). Na osnovu skupa podataka za period od dve godine, prikupljenih u jednom velikom odeljenju intenzivne nege, ispitivali smo novi metod obrade vremenskih serija podataka da bismo razvili sistem koji bi na vreme upozorio na opasnost od oboljevanja od pneumonije. U ovom sistemu fokusiramo se na period pre početka bolesti i pokušavamo da odredimo budući tok događaja. Prilikom kategorisanja i predviđanja datih vremenskih serija kod pacijenta koristili smo Skriveni Markov Model (HMM) i paradigmu slaganja. Na kraju smo prikazali primer sa skupom podataka za stvarnog pacijenta i na taj način pokazali kakva je korist od našeg pristupa.

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