The number of deteriorated buildings is increasing every year, and the number of accidents is increasing due to the lack of timely diagnosis, maintenance, and reinforcement. The number of specialized institutions that can diagnose this is limited compared to the number of deteriorated buildings, and a lot of time and resources are invested in the absence of advanced diagnostic techniques based on the evaluation factors of deteriorated buildings. Therefore, it is necessary to build an improved building diagnosis platform by examining the reliability of existing diagnostic evaluation factors for accurate and rapid building diagnosis.