Raja Manzar Abbas

Work place: University of Limerick, Limerick/ Department of Computer Science, Ireland

E-mail: manzar.abbas@ul.ie

Website:

Research Interests: Computer systems and computational processes, Autonomic Computing, Computer Architecture and Organization, Data Structures and Algorithms, Programming Language Theory

Biography

Raja Manzar Abbas is a PhD scholor in University of Limerick, Ireland. Previously, he has been a lecturer in Software Engineering at Fatima Jinnah Woman University, Rawalpindi, Pakistan, and National University of Modern Languages (NUML), Islamabad. He did his BS in Computer Engineering from COMSATS Institute of Information Technology, Islamabad, Pakistan and MS in Software Engineering & Management from Gothenburg University, Gothenburg, Sweden. He has personally worked and supervised many projects regarding decision support systems and Digital Image Processing.

Author Articles
Managing Data Diversity on the Internet of Medical Things (IoMT)

By Iram Mehmood Sidra Anwar AneezaDilawar Isma zulfiqar Raja Manzar Abbas

DOI: https://doi.org/10.5815/ijitcs.2020.06.05, Pub. Date: 8 Dec. 2020

In the healthcare industry, the Internet of Medical  Services (IOMT) plays a vital role throughout the increasing performance, reliability, and efficiency of an electronic device. Healthcare is also characterized as being complicated due to its highly diverse and large number of shareholders. Data diversity refers to the continuum of various types of elements in the data. The integration of data is difficult where different sources can adopt different identification for the same entity, but there is no explicit connection. Researches are contributing to a digitized Health care system through interconnections available medical resources and health care services. This Research presents the contribution of IoT to people in the field of Healthcare, highlighting the issues in different data integration,  analysis of the existing algorithms and models, applications, and future challenges of IoT in terms of healthcare medical services. Big data analytics that incorporates millions of fragmented, organized, and unstructured sources of data will play a key role in how health care will be delivered in the future.

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