Preliminary Data Analysis in Healthcare Multicentric Data Mining: a Privacy-preserving Distributed Approach

Je-LKS: Journal of E-Learning and Knowledge Society

Johan van Soest¹  Andre Dekker¹  Carlotta Masciocchi²  Luca Boldrini²  Maria Antonietta Gambacorta²  Vincenzo Valentini²  Jacopo Lenkowicz²  Giuditta Chiloiro²  Nicola Dinapoli²  Roberto Gatta²  Luca Tagliaferri²  Andrea Damiani²  Rosa Autorino²  Maria Antonietta Blasi³  Monica Maria Pagliara³ 

[1] Maastricht University Medical Center, Radiation Oncology MAASTRO-GROW School for Oncology and Development Biology, Maastricht, Netherlands.;Polo Scienze Oncologiche ed Ematologiche, Istituto di Radiologia, Università Cattolica del Sacro Cuore - Fondazione Policlinico Universitario Agostino Gemelli, Largo Francesco Vito 1 - 00168 - Roma, Italia;Polo scienze dell’invecchiamento, neurologiche, ortopediche e della testa-collo, Fondazione Policlinico Universitario Agostino Gemelli, Largo Francesco Vito 1 - 00168 - Roma, Italia;

关键词: Distributed Learning;    Privacy preserving;    Data anlytics;   

DOI  :  10.20368/1971-8829/1454

来源: DOAJ

【 摘 要 】

The new era of cognitive health care systems offers a large amount of patient data that can be used to develop prediction models and clinical decision support systems. In this frame, the multi-institutional approach is strongly encouraged in order to reach more numerous samples for data mining and more reliable statistics. For these purposes, shared ontologies need to be developed for data management to ensure database semantic coherence in accordance with the various centers’ ethical and legal policies. Therefore, we propose a privacy-preserving distributed approach as a preliminary data analysis tool to identify possible compliance issues and heterogeneity from the agreed multi-institutional research protocol before training a clinical prediction model. This kind of preliminary analysis appeared fast and reliable and its results corresponded to those obtained using the traditional centralized approach. A real time interactive dashboard has also been presented to show analysis results and make the workflow swifter and easier.

【 授权许可】

Unknown