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Ken Min Chin,John Carson Allen,Jin Yao Teo,Juinn Huar Kam,Ek Khoon Tan,Yexin Koh,Kim Poh Brian Goh,Peng Chung Cheow,Prema Raj,Kah Hoe Pierce Chow,Yaw Fui Alexander Chung,London Lucien Ooi,Chung Yip Ch 한국간담췌외과학회 2018 Annals of hepato-biliary-pancreatic surgery Vol.22 No.3
Backgrounds/Aims: To determine the prevalence of post-hepatectomy liver failure/insufficiency (PHLF/I) in patients undergoing extensive hepatic resections for hepatocellular carcinoma (HCC) and to assess the predictive value of preoperative factors for post-hepatectomy liver failure or insufficiency (PHLF/I). Methods: A retrospective review of patients who underwent liver resections for HCC between 2001 and 2013 was conducted. Preoperative parameters were assessed and analyzed for their predictive value of PHLF/I. Definitions used included the 50-50, International Study Group of Liver Surgery (ISGLS) and Memorial Sloan Kettering Cancer Centre (MSKCC) criteria. Results: Among the 848 patients who underwent liver resections for HCC between 2001 and 2013, 157 underwent right hepatectomy (RH) and extended right hepatectomy (ERH). The prevalence of PHLF/I was 7%, 41% and 28% based on the 50-50, ISGLS and MSKCC criteria, respectively. There were no significant differences in PHLF/I between RH and ERH. Model for End-Stage Liver Disease (MELD) score and bilirubin were the strongest independent predictors of PHLF/I based on the 50-50 and ISGLS/MSKCC criteria, respectively. Predictive models were developed for each of the criteria with multiple logistic regression. Conclusions: MELD score, bilirubin, alpha-fetoprotein and platelet count showed significant predictive value for PHLF/I (all p<0.05). A composite score based on these factors serves as guideline for physicians to better select patients undergoing extensive resections to minimize PHLF.
A General Distributed Deep Learning Platform
Chonho Lee,Wei Wang,Meihui Zhang,Beng Chin Ooi 한국정보과학회 2016 정보과학회지 Vol.34 No.3
This article reviews Apache SINGA, a general distributed deep learning (DL) platform. The system components and its architecture are presented, as well as how to configure and run SINGA for different types of distributed training using model/data partitioning. Besides, several features and performance are compared with other popular DL tools.
A General Distributed Deep Learning Platform: A Review of Apache SINGA
Lee, Chonho,Wang, Wei,Zhang, Meihui,Ooi, Beng Chin Korean Institute of Information Scientists and Eng 2016 정보과학회지 Vol.34 No.3
This article reviews Apache SINGA, a general distributed deep learning (DL) platform. The system components and its architecture are presented, as well as how to configure and run SINGA for different types of distributed training using model/data partitioning. Besides, several features and performance are compared with other popular DL tools.
An Optimized Iterative Semantic Compression Algorithm And Parallel Processing for Large Scale Data
( Ran Jin ),( Gang Chen ),( Anthony K H Tung ),( Lidan Shou ),( Beng Chin Ooi ) 한국인터넷정보학회 2018 KSII Transactions on Internet and Information Syst Vol.12 No.6
With the continuous growth of data size and the use of compression technology, data reduction has great research value and practical significance. Aiming at the shortcomings of the existing semantic compression algorithm, this paper is based on the analysis of ItCompress algorithm, and designs a method of bidirectional order selection based on interval partitioning, which named An Optimized Iterative Semantic Compression Algorithm (Optimized ItCompress Algorithm). In order to further improve the speed of the algorithm, we propose a parallel optimization iterative semantic compression algorithm using GPU (POICAG) and an optimized iterative semantic compression algorithm using Spark (DOICAS). A lot of valid experiments are carried out on four kinds of datasets, which fully verified the efficiency of the proposed algorithm.
Ultrasonography in Acupuncture—Uses in Education and Research
Mabel Qi He Leow,Shu Li Cui,Mohammad Taufik Bin Mohamed Shah,Taige Cao,Shian Chao Tay,Peter Kay Chai Tay,Chin Chin Ooi 사단법인약침학회 2017 Journal of Acupuncture & Meridian Studies Vol.10 No.3
This study aims to explore the potential use of ultrasound in locating the second posterior sacral foramen acupuncture point, quantifying depth of insertion and describing surrounding anatomical structures. We performed acupuncture needle insertion on a study team member. There were four steps in our experiment. First, the acupuncturist located the acupuncture point by palpation. Second, we used an ultrasound machine to visualize the structures surrounding the location of the acupuncture point and measure the depth required for needle insertion. Third, the acupuncturist inserted the acupuncture needle into the acupuncture point at an angle of 30°. Fourth, we performed another ultrasound scan to ensure that the needle was in the desired location. Results suggested that ultrasound could be used to locate the acupuncture point and estimate the depth of needle insertion. The needle was inserted to a depth of 4.0 cm to reach the surface of the sacral foramen. Based on Pythagoras theorem, taking a needle insertion angle of 30° and a needle insertion depth of 4.0 cm, the estimated perpendicular depth is 1.8 cm. An ultrasound scan corroborated the depth of 1.85 cm. The use of an ultrasound-guided technique for needle insertion in acupuncture practice could help standardize the treatment. Clinicians and students would be able to visualize and measure the depth of the sacral foramen acupuncture point, to guide the depth of needle insertion. This methodological guide could also be used to create a standard treatment protocol for research. A similar mathematical guide could also be created for other acupuncture points in future.
Benjamin Yong-Qiang Tan,Nicholas Jinghao Ngiam,Zi Yun Chang,Sandra Ming Yien Tan,Xiayan Shen,Shao Feng Mok,Srinivas Subramanian,Shirley Beng Suat Ooi,Adrian Chin-Leong Kee 한국의학교육학회 2019 Korean journal of medical education Vol.31 No.3
Long duty hours have been associated with significant medical errors, adverse events, and physician “burn-out”. An innovative night float (NF) system has been implemented in our internal medicine program to reduce the negative effects of long duty hours associated with conventional full-call systems. However, concerns remain if this would result in inadequate training for interns. We developed a structured questionnaire to assess junior doctors’ perceptions of the NF system compared to full calls, in areas of patient safety, medical training, and well-being. Ninety-seven (71%) of the 137 doctors polled responded. Ninety-one (94%) felt the NF system was superior to the full call system. A strong majority felt NF was beneficial for patient safety compared to full call (94% vs. 2%, p<0.001). The NF system was also perceived to reduce medical errors (94% vs. 2%, p<0.001) and reduce physician “burn-out” (95% vs. 5%, p<0.001). Beyond being a practical solution to duty-hour limitations, there was a significant perceived benefit of the NF system compared to the full call in terms of overall satisfaction, patient safety, reducing medical errors and physician “burn-out”.