• Rutvik K Shukla
• Dr. Chetan B Bhatt

Emergency Medicine is one of the most critical areas in hospital. It is very important to initiate primary treatment to patient who met with any medical emergency. Developing and heavily populated countries, like India, The major issue is lack of medical professional, and it would be very difficult to address this critical issue of primary care to the rural patient. In this scenario, an expert system can be very much useful to facilitate the emergency care providers to take timely decision and to initiate treatment. But again most of the expert systems are based in rule base which depends on the individuals who designed and developed that particular system. In this case, it would be impossible to incorporate all possibilities for integrating the entire knowledge of the experts. Ontology enables explicit and consensual knowledge to be shared and reused between human and software agents. This makes the system interoperable, reusable and scalable. In this paper, we proposed ontology for the emergency risk level detection. This ontology was developed by Protégé editor, an open source editor provided for creating, testing and updating ontology. The developed ontology can be checked for consistency by reasoned and can be validated by running SPARQL query on it.This paper includes the ontology for risk level detection based on the values of patient’s vital parameter.

Emergency Health; Ontology; NEWS scoring system,; Protégé; SPARQL

"EMERGENCY HEALTH CARE ONTOLOGY FOR RISK LEVEL DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.472-478, May-2019, Available :http://www.jetir.org/papers/JETIR1905K62.pdf

"EMERGENCY HEALTH CARE ONTOLOGY FOR RISK LEVEL DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp472-478, May-2019, Available at : http://www.jetir.org/papers/JETIR1905K62.pdf