TY - CHAP
AU - Leonardi, Giorgio
AU - Montani, Stefania
AU - Portinale, Luigi
AU - Quaglini, Silvana
AU - Striani, Manuel
ED - Esposito, Anna
ED - Esposito, Antonietta M.
ED - Jain, Lakhmi C.
PY - 2019
DA - 2019//
TI - Discovering Knowledge Embedded in Bio-medical Databases: Experiences in Food Characterization and in Medical Process Mining
BT - Innovations in Big Data Mining and Embedded Knowledge
SP - 117
EP - 136
PB - Springer International Publishing
CY - Cham
AB - In this paper, we will exploreLeonardi, Giorgio the potential of knowledge discovery from bio-medical databases in healthMontani, Stefania safeguard, by illustrating two specific case studies, where different knowledge extraction techniques have been exploited. Specifically, we will first report on howPortinale, Luigi machine learning and data mining algorithms can address the problem of food adulteration. Then, we will show how processQuaglini, Silvana mining techniques can be adopted to analyze the quality of patient care provided at a specific health care organization. Working in the bio-medical applicationStriani, Manuel domain has not only led to consistent and concretely useful experimental outcomes, but has also required some significant methodological advances with respect to the existing literature.
SN - 978-3-030-15939-9
UR - https://doi.org/10.1007/978-3-030-15939-9_7
DO - 10.1007/978-3-030-15939-9_7
ID - Leonardi2019
ER -