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 94
- Downloads 0
Towards a Real Time Energy Management Strategy for Hybrid Wind-PV Power System based on Hierarchical Distribution of Loads
Energy management is a crucial aspect for achieving energy efficiency within a Hybrid Renewable energy power station. Load being unbalanced through the day, a reasonable power management can avoid energy dissipation and...
Outsourcing of Secure k-Nearest Neighbours Interpolation Method
Cloud computing becomes essential in these days for the enterprises. Most of the large companies are moving their services and data to the cloud servers which offer flexibility and efficiency. Data owner (DO) hires a clo...
Adaptive Return of e-Training (ROT) based on Communication Technology
Persistent economic insecurity and harsh severity actions across the world push businesses either to cut down on training costs or to be very painstaking in choosing a training program that conveys palpable outcomes in a...
Time-Dependence in Multi-Agent MDP Applied to Gate Assignment Problem
Many disturbances can impact gate assignments in daily operations of an airport. Gate Assignment Problem (GAP) is the main task of an airport to ensure smooth flight-to-Gate assignment managing all disturbances. Or, flig...
Risk Factors for Software Requirements Change Implementation
Requirements change has been regarded as a substantial risk in software development projects. The factors that contribute to the risk are identified through impact analysis, which later determine the planning of the chan...