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Decision-making odontoiatrico: un modello basato su alberi decisionali
Titolo Rivista: MECOSAN 
Autori/Curatori: Ernesto D’Avanzo, Paola Adinolfi, Ambrosina Michelotti 
Anno di pubblicazione:  2018 Fascicolo: 105 Lingua: Italiano 
Numero pagine:  16 P. 9-24 Dimensione file:  428 KB
DOI:  10.3280/MESA2018-105002
Il DOI è il codice a barre della proprietà intellettuale: per saperne di più:  clicca qui   qui 


Il lavoro propone un’implementazione di albero decisionale per la modellizzazione dei processi sanitari e il supporto al decision-making in ambito ortodontico. La sperimentazione, che impiega un dataset costituito da 290 cartelle cliniche (costituite da 39 attributi) di pazienti della scuola di Odontoiatria dell’Università d Napoli Federico II, ha il duplice obiettivo di migliorare il grado di within e between agreeement tra gli ortodontisti e validare, da un punto di vista clinico, le euristiche generate tramite l’albero decisionale. La procedura, oltre a soddisfare i criteri di accuratezza, facilità di utilizzo e rapidità proposti da Bodemer et al. (2015), migliora il livello di agreement fra gli ortodontisti e, allo stesso tempo, riduce il numero di attributi impiegati per arrivare alla decisione ortodontica. Tutto ciò, sul piano dell’efficienza gestionale, implica una riduzione dei costi delle prestazioni, sia per gli esami diagnostici sia per quelli clinici.


Keywords: Euristiche, processi sanitari, alberi decisionali, odontoiatria, efficienza.

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Ernesto D’Avanzo, Paola Adinolfi, Ambrosina Michelotti, in "MECOSAN" 105/2018, pp. 9-24, DOI:10.3280/MESA2018-105002

   

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