Context Aware SmartHealth Cloud Platform for Medical Diagnostics
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 7
Abstract
Healthcare has seen a great evolution in current era in terms of new computer technologies. Intensive medical data is generated that opens up research in healthcare analytics. Coping with this intensive data along with making it meaningful to deliver knowledge and be able to make decisions are the most important tasks. To deduce the authenticity of the data on basis of precision, correction, associations and true meaning is important to validate the understanding of correct semantics. In case of medical diagnosis to form accurate understanding of associations while removing ambiguity and forming a correct picture of the case is of utmost importance. To come up with the right metrics for the diagnostic solution we have explored the known criteria to validate healthcare analytics techniques involved in formation of diagnosis that results in betterment and safety of patients under observations and heading towards possible treatments. In this work, we have proposed a thematic taxonomy for the comparison of existing healthcare analytics techniques with emphasis on diabetes and its underlying diseases. This analysis lead us to propose a data model for hybrid distributed simulation model for future Context Aware SmartHealth cloud platform for diagnostics. This platform is designed to inherit smartness of unsupervised learning which in turn would keep updating itself under supervised learning by qualified experts. Finally, the accuracy would be determined using HUM approach with biomarkers or a better accuracy model than AUC. The recommended action plan is also presented.
Authors and Affiliations
Sarah Shafqat, Almas Abbasi, Muhammad Naeem Ahmad Khan, Muhammad Ahsan Qureshi, Tehmina Amjad, Hafiz Farooq Ahmad
Keywords
Related Articles
- EP ID EP358608
- DOI 10.14569/IJACSA.2018.090741
- Views 89
- Downloads 0
Economical Motivation and Benefits of using Load Shedding in Energy Management Systems
With declining fossil fuel consumption and rising energy demand for renewable energy, the need for integration of these highly predictable sources into the electricity system increases. At the same time, there is a rise...
Multiple Trips Pattern Mining
In recent years, photograph sharing is one of the most mainstream web service, for example, Flickr, trip advisor and numerous other web services. The photograph sharing web services give capacities to include Geo coordin...
Resistance to Statistical Attacks of Parastrophic Quasigroup Transformation
The resistance to statistical kind of attacks of encrypted messages is a very important property for designing cryptographic primitives. In this paper, the parastrophic quasigroup PE-transformation, proposed elsewhere, i...
A Simple Approach for Representation of Gene Regulatory Networks (GRN)
Gene expressions are controlled by a series of processes known as Gene Regulation, and their abstract mapping is represented by Gene Regulatory Network (GRN) which is a descriptive model of gene interactions. Reverse eng...
Hybrid Approaches to Image Coding: A Review
Now a days, the digital world is most focused on storage space and speed. With the growing demand for better bandwidth utilization, efficient image data compression techniques have emerged as an important factor for imag...