Title :
Big data based clouds healthcare web service forecasting: Research challenge
Author_Institution :
Intell. Software Syst. Lab., Iwate Prefectural Univ., Iwate, Japan
Abstract :
Web service predictions are increasingly evolving in crucial manner in service providing in intelligent systems, in health care. This article highlights research challenges in health care forecasting based on cloud computing utilizing preferences project on users using subjective criteria (from user preferences) and objective criteria (statistical data in the clouds). The objective is to forecast user health situation for risk predictions.
Keywords :
Web services; data handling; health care; medical computing; statistical analysis; Web service predictions; big data; cloud computing; clouds healthcare Web service forecasting; health care forecasting; health situation; intelligent systems; risk predictions; statistical data; Big data; Cloud computing; Decision making; Knowledge based systems; Medical services; Risk analysis; Medical service; big data; cognitive model; forecast; health-care; human interaction;
Conference_Titel :
Applied Computational Intelligence and Informatics (SACI), 2015 IEEE 10th Jubilee International Symposium on
Conference_Location :
Timisoara
DOI :
10.1109/SACI.2015.7208261
