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10篇 您的检索式:作者名="Ravin Kumar"
    题名 作者 年代 出处 被引量
1肛裂临床诊治指南(第三次修订)显示文摘“美国结直肠外科医师协会(American Societyof ColonandRectal Surgeons.ASCRS)”(协会)致力于推进结直肠和肛门疾病的相关理论以及预防和诊疗水平的提高,给患者提供优质的医疗服务。“标准委员会”由协会中在结直肠外科方面有显著专长的成员组成。该委员会的建立是为了引领国际结直肠和肛门疾病诊治的发展,以建立具有循证医学证据的临床诊疗指南。指南是涵盖性的,非指令性的,目的是为临床决策提供信息,而非具体的治疗方法。指南适用于所有相关的医护人员以及希望得到相应指南中疾病的相关诊治信息的患者。Farshid Araghizadeh ~ Robin Boushey Sridhar Chalasani George Chang Robert Cima Gary Dunn Daniel Feingold Philip Fleshner Daniel Geisler Jill Genua Sharon Gregorcyk Daniel Herzig Andreas Kaiser Ravin Kumar David Larson Steven Mills John Monson P. Terry Phang Feza Remzi David Rivadeneira Howard Ross Peter Senatore Elin Sigurdson Thomas Stahl Scott Steele Scott Strong Charles Tement Judith Trudel Madhulika Varnna Martin Weiser 丁义江(译) 皇甫少华(译) 丁曙晴(译) 2013中华胃肠外科杂志2013,16,7:70
2Long-term Results of Ligation of Intersphincteric Fistula Tract (LIFT) for Fistula-in-Ano显示文摘Wendy Y. Liu Armen Aboulian Amy H. Kaji Ravin R. Kumar 2013Diseases of the Colon & Rectum2013,,3:2
3Practice Parameters for the Management of Perianal Abscess and Fistula-in-Ano显示文摘Scott R. Steele Ravin Kumar Daniel L. Feingold Janice L. Rafferty W. Donald Buie 2011Diseases of the Colon & Rectum2011,,:2
4Identification of predictive factors for perioperative blood transfusion in colorectal resection patients显示文摘Justin Kim Viken Konyalian Richard Huynh Raj Mittal Michael Stamos Ravin Kumar 2007International Journal of Colorectal Disease2007,,12:1
5Formalising and Detecting Community Structures in Real World Complex Networks显示文摘Community structure is an integral characteristic of real world networks whichever processes or areas they emerge from. This paper addresses the problem of community structure detection theoretically as well as computationally. The authors introduce a number of concepts such as the neighbourhood and strength of a subgraph, p-community, local maximal p-community, hubs, and outliers that play elemental role in formalising the concept of community structure in complex networks. A few preliminary results have been derived that lead to the development of an algorithm for community structure detection in undirected unweighted networks. The algorithm is based on a local seed expansion strategy that uses the concept of interaction coefficient. The authors have analysed the algorithm on a number of parameters such as accuracy, stability, and quality on synthetic and real world networks from different areas.KUMAR Pawan DOHARE Ravins 2021Journal of Systems Science & Complexity2021,34,1:1
6Selective treatment of rectal cancer with single-stage coloanal or ultralow colorectal anastomosis does not adversely affect morbidity and mortality显示文摘Allen P. Kong Justin Kim Alicia Holt Viken Konyalian Richard Huynh Sejal M. Udani Michael J. Stamos Ravin R. Kumar 2007International Journal of Colorectal Disease2007,,8:1
7Early Result of Ligation of the Intersphincteric Fistula Tract for Fistula-in-Ano显示文摘Armen Aboulian Amy H. Kaji Ravin R. Kumar 2011Diseases of the Colon & Rectum2011,,3:1
8Evaluation of safety of increased time interval between chemoradiation and resection for rectal cancer显示文摘Cam-Ly Tran Sejal Udani Alicia Holt Tracey Arnell Ravin Kumar Michael J. Stamos 2006The American Journal of Surgery2006,,:1
9Feingold,Prac-tice Parameters for the Management of Perianal Abscessand Fistula-in-Ano显示文摘Scott R Steele? Ravin Kumar Daniel L 2011Dis Colon Rectum2011,54,12:1
10A neighborhood proximity based algorithm for overlapping community structure detection in weighted networks显示文摘1 Introduction Many real networks are inherently composed of overlapping structure at modular level where nodes have multiple memberships.Additionally,many real networks are equipped with several metadata such as ground truth,node and edge weights which make the whole business of community detection complicated.Nevertheless,there are a few well known algorithms,e.g.,CPMw[1]that can detect overlapping community structure in weighted networks.When it comes to the application of an algorithm,the desired output depends on the right choice of parameters.Pawan KUMAR Ravins DOHARE 2019Frontiers of Computer Science2019,13,6:1
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