• C. Kavitha
• Dr. A. Subramani

Kawasaki Disease is a vasculitis problem that is staggeringly dangerous to young people. Kawasaki Disorder can cause outrageoussymptoms of ischemic coronary ailment or structure into ischemic coronary sickness, provoking end in youths. Researcherslikewise, clinicians need to analyze different data and data resources for explore portions of Kawasaki Ailment. Data Charts have transformed into a critical man-made consciousness method for managing consolidating various types of stunning data and dataresources. In this paper, we present a philosophy for the improvement of Data Diagrams of Kawasaki Sickness. Itconsolidates a broad assortment of data resources associated with Kawasaki Ailment, including clinical principles, clinical primers, drug data bases, clinical composition, and others. It gives a key joining supporting of data anddata concerning Kawasaki Contamination for clinical survey. In this paper, we will show that this affliction specific DataOutlines are significant for exploring various pieces of Kawasaki Sickness.

Kawasaki Disease, Knowledge Graph, Semantic Search.

"INFORMATION DIAGRAMS OF KAWASAKI DISEASE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.16-18, March-2023, Available :http://www.jetir.org/papers/JETIRFV06004.pdf

"INFORMATION DIAGRAMS OF KAWASAKI DISEASE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. pp16-18, March-2023, Available at : http://www.jetir.org/papers/JETIRFV06004.pdf