Fuzzy logic–based clinical decision support system for the evaluation of renal function in post‐Transplant Patients
Author:
Affiliation:
1. Department of Public Health of the University HospitalUniversity of Naples Federico II Naples Italy
2. Department of Electronic Engineering and Information Technology, Faculty of EngineeringUniversity of Naples Federico II Naples Italy
Publisher
Wiley
Subject
Public Health, Environmental and Occupational Health,Health Policy
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/jep.13302
Reference53 articles.
1. Artificial intelligence in medicine
2. Clinical Decision-Support Systems
3. SantiniS PescapèA ValenteAS AbateV ImprotaG TriassiM RicchiP FilosaA.Using fuzzy logic for improving clinical daily‐care of β‐thalassemia patients. FUZZ‐IEEE 20175090‐6034.
4. Effects of Computerized Clinical Decision Support Systems on Practitioner Performance and Patient Outcomes
5. CesarelliM RomanoM BifulcoP ImprotaG D'AddioG.Prognostic decision support using symbolic dynamics in CTG monitoring. In EFMI‐STC 2013140‐144.
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