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슬내장에서 자기 고명 영상 소견과 슬관절경 검사 소견의 비교
김용훈(Yonghoon Kim),김근우(Keunwoo Kim),민학진(Hakjin Min),윤의성(Uiseoung Yoon),조국형(Kookhyeung cho),조성휘(Seongwhi Cho),김상림(Sangrim Kim),이유진(Yujin Lee),김호석(Hosuk Kim) 대한슬관절학회 1998 대한슬관절학회지 Vol.10 No.2
We selected one hundred magnetic resonance imaging(MRI) in knees of patients with internal derangement of the knee, in all of those cases, arthroscopic operations were performed. Twenty medical doctors, who didnt know the arthroscopic findings, reviewed these MRI; 5 radiology specialists, 5 radiology residents, 5 orthopedic surgeons and 5 orthopedic residents. The radiologists were not informed about the medical history and physical examination of the patients when they read the MRI, but the orthopedic surgeons had the information about those of the patients. The accuracy of reading of MRI was compared between radiologists and orthopedic surgeons, and between specialists and residents. The check-list of the reading were medial and lateral meniscus, ACL and PCL, medial synovial plica and osteochondral lesion. Overall results of accuracy of MRI reading were as follows; radiology specialist-86%-, radiology resident-77%-, orthopedic surgeon-90%- and orthopedic resident-84%-. So accuracy was superior in orthopedic group and specialist group. The medical history and the physical examination of the patients were very helpful to improve accuracy of MRI reading. Reading skill was also important for accurate reading of MRI.
Bayesian Changepoints Detection for the Power Law Process with Binary Segmentation Procedures
Kim Hyunsoo,Kim Seong W.,Jang Hakjin The Korean Statistical Society 2005 Communications for statistical applications and me Vol.12 No.2
We consider the power law process which is assumed to have multiple changepoints. We propose a binary segmentation procedure for locating all existing changepoints. We select one model between the no-changepoints model and the single changepoint model by the Bayes factor. We repeat this procedure until no more changepoints are found. Then we carry out a multiple test based on the Bayes factor through the intrinsic priors of Berger and Pericchi (1996) to investigate the system behaviour of failure times. We demonstrate our procedure with a real dataset and some simulated datasets.