The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Soft Statistical Decision Fusion for Distributed Medical Data on Grids
Abstract
This chapter introduces the decision fusion as a means of exploring information from distributed medical data. It proposes a new method of applying soft data fusion algorithm on the grid to analyze massive data and discover meaningful and valuable information. It could potentially help to better understand and process medical data and provide high-quality services in patient diagnosis and treatment. It allows incorporation of multiple physicians into one single case to recover and resolve problems, and integration of distributed data sources overcome some limitations of geographical locations to share knowledge and experience based on the soft data and decision fusion approach.
Related Content
|
Saloua Mabsor-Zgandaoui, Khawla Rachmoune, Ilham Aftais, Fatima Ezzahra Elamrani, Imade Amradi, Adil El Housseini, Youssef Ait Hamdan, Youness Zgandaoui, Abdelghani Iddar, Mohammed El Mzibri, Adnane Moutaouakkil, Aboubaker El Hessni, Abdelhalim Mesfioui.
© 2026.
30 pages.
|
|
Yusuf Olatunji Waidi.
© 2026.
20 pages.
|
|
Ajinkya Nene, Sorour Sadeghzade, Wenjie Yang, Prakash Somani.
© 2026.
12 pages.
|
|
Seyyed Mohammad Amin Mousavi-Sagharchi, Mahdieh Ranjbar-Jamalabadi, Sama Yavari, Elina Afrazeh, Naresh Poondla, Mohsen Sheykhhasan.
© 2026.
32 pages.
|
|
Wenqiang Xie, Yuan Su, Ruiqi Zhang, Sijia Li, Jia Ni, Longquan Shao.
© 2026.
18 pages.
|
|
Zhengao Wang, Huiyu Zhao, Yao Han, Wuyi Zhou, Chengyun Ning.
© 2026.
30 pages.
|
|
Navya Aggarwal, Shinjini Sen, Tanmay J. Urs, Shreya Gupta, Banashree Bondhopadhyay.
© 2026.
36 pages.
|
|
|