Kyohei Kiyota, Akiko Takemoto, Saori Okajima, Shizuka Morino, Satoru Kakoi, Junko Sakuma, Masato Yoshimitsu, Kazuhiko Akutsu, Keiji Kajimura
[A Survey of School Lunch Provision for Elementary School Students with Food Allergy in Seven Cities of Osaka Prefecture]
Shokuhin eiseigaku zasshi. Journal of the Food Hygienic Society of Japan
signal imaging investigations currently key components diagnosis prognosis follow heart diseases nowadays need efficient costeffective personalised care led renaissance clinical decision support systems cdsss purpose paper present effective way achieving highlevel integration signal image processing methods general process care means clinical decision support system discuss advantages approach wide range heart diseases heart failure whose complexity best highlights benefits integration selected analysis users needs expectations significant suitably designed image signal processing algorithms introduced objectively reliably evaluate important features involved decisional problems heart failure domain cdss conceived combine domain knowledge advanced analytical tools data processing particular relevant significant medical knowledge experts knowhow formalised according ontological formalism suitably augmented base rules inferential reasoning proposed methods tested evaluated daily practice physicians operating department cardiology university magna graecia catanzaro italy population 79 patients different scenarios involving decisional problems based analysis biomedical signals images considered scenarios training 3 months use cdss able provide important useful suggestions routine workflows integrating clinical parameters computed developed methods echocardiographic image segmentation algorithms electrocardiography processing cdss allows integration signal image processing algorithms general process care feedback endusers positive