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Expert knowledge integration in the data mining process with application to cardiovascular risk assessment.

, , , , , , , и . EMBC, стр. 2538-2542. IEEE, (2015)

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Mahmud Dianati

Marco Alberto Diana

Arezoo Dianat

Francesca Diana

Irmtraud Mendes

 

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Ambient Assisted Living using Non-intrusive Smart Sensing and IoT for Gait Rehabilitation., , и . MetroXRAINE, стр. 489-494. IEEE, (2022)Assessment of cardiovascular risk based on a data-driven knowledge discovery approach., , , , , , и . EMBC, стр. 6800-6803. IEEE, (2015)Comparison of an interpretable data-driven approach with state of the art classifiers: Application to cardiovascular risk assessment., , , , , и . RTSI, стр. 1-5. IEEE, (2017)Causal inference of server- and client-side code smells in web apps evolution., , и . Empir. Softw. Eng., 29 (5): 133 (сентября 2024)Expert knowledge integration in the data mining process with application to cardiovascular risk assessment., , , , , , , и . EMBC, стр. 2538-2542. IEEE, (2015)Strategies for personalized risk assessment for CVD management., , , , , и . BHI, стр. 344-347. IEEE, (2016)Improving clinical models based on knowledge extracted from current datasets: A new approach., , , , , и . EMBC, стр. 2295-2298. IEEE, (2016)A Clinical Interpretable Approach Applied to Cardiovascular Risk Assessment., , , , , , , и . EMBC, стр. 3252-3255. IEEE, (2018)An interpretable data-driven approach for rules construction: Application to cardiovascular risk assessment., , , , , и . EMBC, стр. 2646-2649. IEEE, (2017)Mutual information: a measure of dependency for nonlinear time series, , и . Physica A: Statistical Mechanics and its Applications, 344 (1): 326--329 (2004)