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Decision-making odontoiatrico: un modello basato su alberi decisionali

Author

Listed:
  • Ernesto D?Avanzo
  • Paola Adinolfi
  • Ambrosina Michelotti

Abstract

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?Universit? 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, facilit? di utilizzo e rapidit? 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 ci?, sul piano dell?efficienza gestionale, implica una riduzione dei costi delle prestazioni, sia per gli esami diagnostici sia per quelli clinici.

Suggested Citation

  • Ernesto D?Avanzo & Paola Adinolfi & Ambrosina Michelotti, 2018. "Decision-making odontoiatrico: un modello basato su alberi decisionali," MECOSAN, FrancoAngeli Editore, vol. 0(105), pages 9-24.
    • Handle: RePEc:fan:mesame:v:html10.3280/mesa2018-105002
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    References listed on IDEAS

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    1. Pizzini, Mina J., 2006. "The relation between cost-system design, managers' evaluations of the relevance and usefulness of cost data, and financial performance: an empirical study of US hospitals," Accounting, Organizations and Society, Elsevier, vol. 31(2), pages 179-210, February.
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