Hospital patient service satisfaction prediction technology based on supervised learning can obtain higher accuracy by training image data. This paper proposes a deep neural network continuous sample data to predict in hospitals, which overcomes the problem of high cost collecting additional labeled while improving Furthermore, our model converts samples into images reflecting characteristics a...

Georgia Sarquella-Brugada, MD, Oscar Campuzano, PhD, Anna Iglesias, MSc, Josefina Grueso, MD, PhD, David J. Bradley, MD, Gunter Kerst, MD, PhD, Daniel Shmorhun, MD, PhD, Josep Brugada, MD, PhD, Ramon Brugada, MD, PhD From the Pediatric Arrhythmia Unit, Cardiology Service, Hospital Sant Joan de Déu, University of Barcelona, Barcelona, Spain, Cardiovascular Genetics Center, University of Girona-I...

nowadays employees in public service organizations have important roles in realizing the goals of organizations and particularly their service quality. one type of organizations in which service quality has very important role, are hospitals which are in contact with a large number of patients and their relatives. the previous researches have shown that organizations service quality is affected...

background there is limited evidence on the course of health service costs before and after psychiatric inpatient treatment, which might also be affected by source of cost data. thus, this study examines: i) differences in health care costs before and after psychiatric inpatient treatment, ii) whether these differences vary by source of cost-data (self-report vs. administrative), and iii) predi...

conclusions this paper reports a new determinant of hospital services quality. results the results of study indicated that nurses' emotional intelligence has a direct effect on the hospital services quality. the study also revealed that nurse's job satisfaction and communication skills have an intermediate role in the emotional intelligence and service quality relation. objectives thi...