TY - CHAP
T1 - Discovering knowledge embedded in bio-medical databases
T2 - Experiences in food characterization and in medical process mining
AU - Leonardi, Giorgio
AU - Montani, Stefania
AU - Portinale, Luigi
AU - Quaglini, Silvana
AU - Striani, Manuel
N1 - Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - In this paper, we will explore the potential of knowledge discovery from bio-medical databases in health safeguard, by illustrating two specific case studies, where different knowledge extraction techniques have been exploited. Specifically, we will first report on how machine learning and data mining algorithms can address the problem of food adulteration. Then, we will show how process mining techniques can be adopted to analyze the quality of patient care provided at a specific health care organization. Working in the bio-medical application 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.
AB - In this paper, we will explore the potential of knowledge discovery from bio-medical databases in health safeguard, by illustrating two specific case studies, where different knowledge extraction techniques have been exploited. Specifically, we will first report on how machine learning and data mining algorithms can address the problem of food adulteration. Then, we will show how process mining techniques can be adopted to analyze the quality of patient care provided at a specific health care organization. Working in the bio-medical application 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.
UR - http://www.scopus.com/inward/record.url?scp=85068805259&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-15939-9_7
DO - 10.1007/978-3-030-15939-9_7
M3 - Chapter
T3 - Intelligent Systems Reference Library
SP - 117
EP - 136
BT - Intelligent Systems Reference Library
PB - Springer Science and Business Media Deutschland GmbH
ER -