Discovering knowledge embedded in bio-medical databases: Experiences in food characterization and in medical process mining

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Abstract

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.

Lingua originaleInglese
Titolo della pubblicazione ospiteIntelligent Systems Reference Library
EditoreSpringer Science and Business Media Deutschland GmbH
Pagine117-136
Numero di pagine20
DOI
Stato di pubblicazionePubblicato - 2019

Serie di pubblicazioni

NomeIntelligent Systems Reference Library
Volume159
ISSN (stampa)1868-4394
ISSN (elettronico)1868-4408

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