Sidra Anwar

Work place: Memorial University of Newfoundland, St. John's, Canada

E-mail: sidraa@mun.ca

Website:

Research Interests: Computer systems and computational processes, Systems Architecture, Information Systems, Decision Support System

Biography

Sidra Anwar was born in Sialkot, Pakistan in 1992. Now she is a PhD scholar in Memorial University of Newfoundland, Canada. Previously, she has been a lecturer in Computer Science at the Govt. College Women University, Sialkot, Pakistan and member of the ORIC Steering committee since 2015. She did her BS in Software Engineering from Fatima Jinnah Women University, the Mall, Rawalpindi, Pakistan and MS in Project Management from COMSATS Institute of Information Technology, Islamabad, Pakistan. She is also a Registered Engineer under Pakistan Engineering Council Act 1976 with Registration# COMP/14954. She has personally worked and supervised many projects regarding decision support systems serving multidisciplinary domains in IOT.

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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