Artificial neural networks and their potentialities in analyzing budget health data: an application for Italy of what-if theory.

Paolo Massimo Buscema; Guido Maurelli; Francesco Saverio Mennini; Lara Gitto; Simone Russo; Matteo Ruggeri; Silvia Coretti; Americo Cicchetti

doi:10.1007/s11135-016-0329-y

Artificial neural networks and their potentialities in analyzing budget health data: an application for Italy of what-if theory.

Paolo Massimo Buscema
, Guido Maurelli
, Francesco Saverio Mennini
, Lara Gitto
, Simone Russo
, Matteo Ruggeri
, Silvia Coretti
, Americo Cicchetti

Semeion centro ricerche di scienze della communicazione
University of Rome Tor Vergata

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

Artificial Neural Networks

Original language	English
Pages (from-to)	1261-1276
Number of pages	16
Journal	Quality and Quantity
Volume	51
DOIs	https://doi.org/10.1007/s11135-016-0329-y
Publication status	Published - 2017

Keywords

Neural Networks

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10.1007/s11135-016-0329-y

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title = "Artificial neural networks and their potentialities in analyzing budget health data: an application for Italy of what-if theory.",

abstract = "Artificial Neural Networks",

keywords = "Neural Networks, Neural Networks",

author = "Buscema, \{Paolo Massimo\} and Guido Maurelli and Mennini, \{Francesco Saverio\} and Lara Gitto and Simone Russo and Matteo Ruggeri and Silvia Coretti and Americo Cicchetti",

year = "2017",

doi = "10.1007/s11135-016-0329-y",

language = "English",

volume = "51",

pages = "1261--1276",

journal = "Quality and Quantity",

issn = "1573-7845",

publisher = "Springer Netherlands",

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TY - JOUR

T1 - Artificial neural networks and their potentialities in analyzing budget health data: an application for Italy of what-if theory.

AU - Buscema, Paolo Massimo

AU - Maurelli, Guido

AU - Mennini, Francesco Saverio

AU - Gitto, Lara

AU - Russo, Simone

AU - Ruggeri, Matteo

AU - Coretti, Silvia

AU - Cicchetti, Americo

PY - 2017

Y1 - 2017

N2 - Artificial Neural Networks

AB - Artificial Neural Networks

KW - Neural Networks

UR - http://hdl.handle.net/10807/96284

U2 - 10.1007/s11135-016-0329-y

DO - 10.1007/s11135-016-0329-y

M3 - Article

SN - 1573-7845

VL - 51

SP - 1261

EP - 1276

JO - Quality and Quantity

JF - Quality and Quantity

ER -

Artificial neural networks and their potentialities in analyzing budget health data: an application for Italy of what-if theory.

Abstract

Keywords

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