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말기 암 환자의 생존기간 예측: 혈액학 검사와 PPI에 대한 전향적 연구
손효림 ( Hyo Rim Son ),김대은 ( Dae Eun Kim ),강현욱 ( Hyun Wook Kang ),김하나 ( Ha Na Kim ),서일국 ( Il Kook Seo ),윤주영 ( Ju Young Yoon ),황준일 ( Jun Eul Hwang ),심현정 ( Hyun Jeong Shim ),조상희 ( Sang Hee Cho ),정익주 ( Ik J 대한내과학회 2011 대한내과학회지 Vol.81 No.3
Background/Aims: The palliative prognostic index (PPI) was designed to predict life expectancy based on clinical symptoms. In this study, a PPI was constructed and used with other biological parameters to predict 3-week survival in patients with advanced cancer. Methods: The study included 222 patients. The PPI was constructed with five variables (performance status, oral intake, edema, dyspnea at rest, and delirium). PPI scores were grouped as follows: 4 (group 1); > 4 and ≤ 6 (group 2); and > 6 (group 3). At admission, seven biological variables (white blood cell count, lymphocyte, C-reactive protein [CRP], bilirubin, albumin, creatinine, and lactate dehydrogenase) were measured. Results: The overall survival duration was 50 days in group 1, 22 days in group 2, and 14 days in groups 3. Using the PPI, a survival of < 3 weeks in group 3 was predicted with a sensitivity of 76.5% and a specificity of 65.4%. The important factors significantly affecting the 3-week survival rate were a PPI score > 6 and increases in serum bilirubin and CRP levels. Furthermore, the 3-week survival rate in patients with hepatopancreatobiliary cancer was more accurately predicted using a combination of the PPI, CRP, and serum bilirubin levels. Conclusions: Although a PPI has limitations, it can be quickly applied to determine survival duration in patients admitted to hospice and accurately predicts 3-week survival. Furthermore, bilirubin and CRP are useful factors for predicting 3-week survival in patients with gastrointestinal cancer, including hepatopancreatobiliary cancer. (Korean J Med 2011;81:359-365)
분산 운영체제를 위한 Reliable Multicast Communication의 Modeling
황준(J. Hwang),김창민(C. M. Kim),김영찬(Y. C. Kim) 한국정보과학회 1987 한국정보과학회 학술발표논문집 Vol.14 No.1
본 연구에서는 분산운영체제에서의 Reliable한 Multicast communication을 행해 줄 수 있는 여러 방법들을 비교 평가했으며, 이를 바탕으로 보다 Reliable하면서도 효율이 향상된 Multicast Communication Algorithm을 제시하고 이를 Modeling하였다. 특히 프로세스간의 통신에 있어서 Packet event가 많이 일어나면 일어날수록 host의 overhead는 심해지므로, 이를 고려해서 message의 Retransmission시 packet event를 최소화하는데 촛점을 두었다.