Pattern Recognition for Healing Burns to Compute Evidence: Space Syntax and Machine Learning Analysis of Burns Center Karachi
Journal Title: Sir Syed University Reseacrh Journal of Engineering and Technology - Year 2013, Vol 3, Issue 1
Abstract
Usually elongated hospitalization is experienced by Burn patients, and the precise forecast of the placement of patient according to the healing acceleration has significant consequence on healthcare supply administration. Substantial amount of evidence suggest that sun light is essential to burns healing and could be exceptionally beneficial for burned patients and workforce in healthcare building. Satisfactory UV sunlight is fundamental for a calculated amount of burn to heal; this delicate rather complex matrix is achieved by applying pattern classification for the first time on the space syntax map of the floor plan and Browder chart of the burned patient. On the basis of the data determined from this specific healthcare learning technique, nurse can decide the location of the patient on the floor plan, hence patient safety first is the priority in the routine tasks by staff in healthcare settings. Whereas insufficient UV light and vitamin D can retard healing process, hence this experiment focuses on machine learning design in which pattern recognition and technology supports patient safety as our primary goal. In this experiment we lowered the adverse events from 2012- 2013, and nearly missed errors and prevented medical deaths up to 50% lower, as compared to the data of 2005- 2012 before this technique was incorporated. In this research paper, three distinctive phases of clinical situations are considered—primarily: admission, secondly: acute, and tertiary: post-treatment according to the burn pattern and healing rate—and be validated by capable AI- origin forecasting techniques to hypothesis placement prediction models for each clinical stage with varying percentage of burn i.e. superficial wound, partial thickness or full thickness deep burn. Conclusively we proved that the depth of burn is directly proportionate to the depth of patient’s placement in terms of window distance. Our findings support the hypothesis that the windowed wall is most healing wall, here fundamental suggestion is support vector machines: which is most advantageous hyper plane for linearly divisible patterns for the burns depth as well as the depth map is used.
Authors and Affiliations
Javaria Manzoor Shaikh, JaeSeung Park
Keywords
Related Articles
- EP ID EP432052
- DOI -
- Views 176
- Downloads 0
Barrier free visibility for staff in ICU Focused on space syntax for circulation in Asian ICU
The main contribution of paper is for designers through identification of appropriate shape geometry required for care givers in a hospital by using space syntax technique. Healthcare management field is at a boom now a...
Designing, Planning & Implementation of IT Infrastructure & Security for A Brokerage House
M-Commerce is widely known as wireless network technology, use as the essential means of communication for business transactions. Mobile commerce is seen as an augmentation of E-commerce empowered by cell phones. Transac...
A Conceptual System on Ubiquitous Cardiovascular Health-Care System (UCHS)
— In a cardio center, heart-care monitoring system, it is essential to continually monitor the patient's physiological parameters such as heart patient parameters like heart rate and blood pressure to control their healt...
Efficient AES-XTS Pipelined Implementation on FPGA
In past years, it has been considered that only data communicated via networks need to be secured. This paradigm now shifted towards securing data at rest. With its increasing significance, IEEE has introduced a mode of...
Low Power Design of 40 Gigabit Ethernet Media Access Controller Using Hyper Transport Protocol IO Standard
Abstract— Nowadays, the low power design requirement for the communication equipment is becoming essential for green communication systems. The Ethernet Media Access Controller (EMAC) is an important source interfacing t...