摘要：The rapid growth of Internet technologies and availability of web tools created an opportunity to develop a robust and user-friendly web service model for medical care, and it demands urgent solutions as the uncertainty of disease spread threaten humanity. With changing Quality of Service principles, many existing web services need to offer specific medical services that suit practical needs. The provision of an effective service selection and recommendation features that best meet the user's requirements will be able to improve the quality of web service model. The Quality of Service metrics should be calculated and analyzed before optimizing a recommendation technique. Evaluation therefore forms an important part of the process for designing and implementing recommendation systems. Further, predicting Quality of Service indicators accurately from historical background dataset under complex scenarios and combination of conditions is useful. In this perspective, lots of web service methods are studied, and this paper presents our comprehensive analysis mainly focusing on the development of better web service based framework for medical applications.
其他摘要：The rapid growth of Internet technologies and availability of web tools created an opportunity to develop a robust and user-friendly web service model for medical care, and it demands urgent solutions as the uncertainty of disease spread threaten humanity. With changing Quality of Service principles, many existing web services need to offer specific medical services that suit practical needs. The provision of an effective service selection and recommendation features that best meet the user's requirements will be able to improve the quality of web service model. The Quality of Service metrics should be calculated and analyzed before optimizing a recommendation technique. Evaluation therefore forms an important part of the process for designing and implementing recommendation systems. Further, predicting Quality of Service indicators accurately from historical background dataset under complex scenarios and combination of conditions is useful. In this perspective, lots of web service methods are studied, and this paper presents our comprehensive analysis mainly focusing on the development of better web service based framework for medical applications.
