Srinivasan venkatakrishnan biography of abraham

  • Founder - Leadership Development SaaS Platform "GOALS N U", Investor, Mentor, PHD Chamber of Commerce and Industry, Design Thinking Master.
  • I had a memorable experience witnessing manufacturing efficiency and work ethic like never before!
  • This study aimed to develop a nomogram for predicting the overall survival of SAP in elderly patients.
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    SubjectCourse #Course TitleLimitActualWait ListInstructor(s)Status AAAS 112A 1 Survey Design and Analysis 999 14 0 Amber Spry Open AAAS 131B 1 African Women's and Gender Studies 20 11 0 Olajumoke Yacob-Haliso Open AAAS 136B 1 Black Politics in the United States: Visions, Values, and Voice 35 28 0 Amber Spry Open AAAS 139A 1 What fryst vatten Apartheid 30 8 0 Panashe Chigumadzi Open AAAS 170A 1 Black Childhoods 18 7 0 Wangui Muigai Open AAAS 189A 1 Senior slutsten Seminar 35 6 0 Panashe Chigumadzi Open AAAS/HIS 131A 1 African Americans and Health 35 28 0 Wangui Muigai Open AAAS/WGS 136A 1 Black Feminist Thought 30 16 0 Shoniqua Roach Open AAAS/WGS 148B 1 Black Dance: The Politics of Black Movement 15 14 0 Shoniqua Roach Op

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    Bat Bolan te factors that influence observation. perception A process by which individuals organize and interpret their sensory impressions to ge ‘meaning to their emsronment. Perception, Learning and Individual Decision Making CHAPTER S189 and shiny all the time,” The Telegraph, January 23, 2016, http://www.telegraph.co.uk/ food-and-crink/features/deliciously

    Construction and validation of a nomogram for predicting survival in elderly patients with severe acute pancreatitis: a retrospective study from a tertiary center

    Abstract

    Purpose

    There is a lack of adequate models specifically designed for elderly patients with severe acute pancreatitis (SAP) to predict the risk of death. This study aimed to develop a nomogram for predicting the overall survival of SAP in elderly patients.

    Methods

    Elderly patients diagnosed with SAP between January 1, 2017 and December 31, 2022 were included in the study. Risk factors were identified through least absolute shrinkage and selection operator regression analysis. Subsequently, a novel nomogram model was developed using multivariable logistic regression analysis. The predictive performance of the nomogram was evaluated using metrics such as the receiver operating characteristic curve, calibration curve, and decision curve analysis (DCA).

    Results

    A total of 326 patients were included in the analys

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