In the context of the gradual development of artificial intelligence in health care, the clinical decision support systems (CDSS) play an increasing crucial role in improving the quality of the therapeutic and diagnostic efficiency in health care. The fuzzy logic (FL) provides an effective means for dealing with uncertainties in the health decision-making process; therefore, FL-based CDSS becomes a very powerful tool for data and knowledge management, being able to think like an expert clinician. This work proposes an FL-based CDSS for the evaluation of renal function in posttransplant patients.

Fuzzy logic–based clinical decision support system for the evaluation of renal function in post-Transplant Patients / Improta, Giovanni; Mazzella, V.; Vecchione, D.; Santini, S.; Triassi, M.. - In: JOURNAL OF EVALUATION IN CLINICAL PRACTICE. - ISSN 1356-1294. - 26:4(2020), pp. 1224-1234. [10.1111/jep.13302]

Fuzzy logic–based clinical decision support system for the evaluation of renal function in post-Transplant Patients

Improta Giovanni;Santini S.;Triassi M.
2020

Abstract

In the context of the gradual development of artificial intelligence in health care, the clinical decision support systems (CDSS) play an increasing crucial role in improving the quality of the therapeutic and diagnostic efficiency in health care. The fuzzy logic (FL) provides an effective means for dealing with uncertainties in the health decision-making process; therefore, FL-based CDSS becomes a very powerful tool for data and knowledge management, being able to think like an expert clinician. This work proposes an FL-based CDSS for the evaluation of renal function in posttransplant patients.
2020
Fuzzy logic–based clinical decision support system for the evaluation of renal function in post-Transplant Patients / Improta, Giovanni; Mazzella, V.; Vecchione, D.; Santini, S.; Triassi, M.. - In: JOURNAL OF EVALUATION IN CLINICAL PRACTICE. - ISSN 1356-1294. - 26:4(2020), pp. 1224-1234. [10.1111/jep.13302]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/779065
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