PRELIMINARY DATA ANALYSIS IN HEALTHCARE MULTICENTRIC DATA MINING: A PRIVACY-PRESERVING DISTRIBUTED APPROACH

Andrea Damiani; Carlotta Masciocchi; Luca Boldrini; Roberto Gatta; Nicola Dinapoli; Jacopo Lenkowicz; Giuditta Chiloiro; Maria Antonietta Gambacorta; Luca Tagliaferri; Rosa Autorino; Monica Maria Pagliara; Maria Antonietta Blasi; Johan van Soest; Andre Dekker; Vincenzo Valentini

doi:10.20368/1971-8829/1454

PRELIMINARY DATA ANALYSIS IN HEALTHCARE MULTICENTRIC DATA MINING: A PRIVACY-PRESERVING DISTRIBUTED APPROACH

Andrea Damiani^*, Carlotta Masciocchi, Luca Boldrini, Roberto Gatta, Nicola Dinapoli, Jacopo Lenkowicz, Giuditta Chiloiro, Maria Antonietta Gambacorta, Luca Tagliaferri, Rosa Autorino, Monica Maria Pagliara, Maria Antonietta Blasi, Johan van Soest, Andre Dekker, Vincenzo Valentini

^*Corresponding author for this work

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

6 Citations (Web of Science)

Abstract

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.

Original language	English
Pages (from-to)	71-81
Number of pages	11
Journal	Journal of E-Learning and Knowledge Society
Volume	14
Issue number	1
DOIs	https://doi.org/10.20368/1971-8829/1454
Publication status	Published - 1 Jan 2018

Keywords

distributed learning
distributed preliminary analysis
privacy-preserving
healthcare
data mining
DECISION-SUPPORT-SYSTEMS
ONCOLOGY

Access to Document

10.20368/1971-8829/1454Licence: CC BY

https://www.learntechlib.org/p/182311/

Cite this

Damiani, A., Masciocchi, C., Boldrini, L., Gatta, R., Dinapoli, N., Lenkowicz, J., Chiloiro, G., Gambacorta, M. A., Tagliaferri, L., Autorino, R., Pagliara, M. M., Blasi, M. A., van Soest, J., Dekker, A., & Valentini, V. (2018). PRELIMINARY DATA ANALYSIS IN HEALTHCARE MULTICENTRIC DATA MINING: A PRIVACY-PRESERVING DISTRIBUTED APPROACH. Journal of E-Learning and Knowledge Society, 14(1), 71-81. https://doi.org/10.20368/1971-8829/1454

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abstract = "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.",

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author = "Andrea Damiani and Carlotta Masciocchi and Luca Boldrini and Roberto Gatta and Nicola Dinapoli and Jacopo Lenkowicz and Giuditta Chiloiro and Gambacorta, {Maria Antonietta} and Luca Tagliaferri and Rosa Autorino and Pagliara, {Monica Maria} and Blasi, {Maria Antonietta} and {van Soest}, Johan and Andre Dekker and Vincenzo Valentini",

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Damiani, A, Masciocchi, C, Boldrini, L, Gatta, R, Dinapoli, N, Lenkowicz, J, Chiloiro, G, Gambacorta, MA, Tagliaferri, L, Autorino, R, Pagliara, MM, Blasi, MA, van Soest, J , Dekker, A & Valentini, V 2018, 'PRELIMINARY DATA ANALYSIS IN HEALTHCARE MULTICENTRIC DATA MINING: A PRIVACY-PRESERVING DISTRIBUTED APPROACH', Journal of E-Learning and Knowledge Society, vol. 14, no. 1, pp. 71-81. https://doi.org/10.20368/1971-8829/1454

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