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  1. 481
    por Ilijason, Robert
    Publicado 2020
    Enlace del recurso
    Beginning Apache Spark Using Azure Databricks: Unleashing Large Cluster Analytics in the Cloud
  2. 482
    “…We think our quick tips can help anyone make use of Apache Spark distributed computing systems more efficiently and ultimately help generate better, more reliable scientific results.…”
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    Online Artículo Texto
    Ten quick tips for bioinformatics analyses using an Apache Spark distributed computing environment
  3. 483
    “…BACKGROUND: This study aims to compare Cardiac Surgery Score (CASUS) and the Acute Physiology and Chronic Health Evaluation (APACHE II) scoring systems for predicting mortality in patients undergoing isolated coronary artery bypass grafting. …”
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    Online Artículo Texto
    CASUS and APACHE II score in predicting mortality after coronary artery bypass grafting
  4. 484
    “…The Acute Physiology and Chronic Health Evaluation (APACHE) score was developed to assess disease severity. …”
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    Online Artículo Texto
    Nurses' performance in using the APACHE score: Its effect on outcomes of patients with cardiac surgery
  5. 485
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    Online Artículo Texto
    APACHE II and SOFA scores for intensive care and hospital outcome prediction in oncologic patients
  6. 486
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    Online Artículo Texto
    Low APACHE II and ASA score predicts survival in patients with perforated peptic ulcer
  7. 487
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    Online Artículo Texto
    Correlation of stress ulceration in the critically ill patients to APACHE score and role of Helicobacter pylori
  8. 488
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    Online Artículo Texto
    Evaluation of APACHE II and the ICU cancer mortality model in an Indian cancer hospital ICU
  9. 489
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    Online Artículo Texto
    SAPS 2 is a better score than APACHE II to predict mortality in the ICU
  10. 490
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    Online Artículo Texto
    Mortality prediction by hormonal profile versus APACHE score assessment in critically ill patients
  11. 491
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    Online Artículo Texto
    The apache ii and serum sodium levels as predictors of mortality in the surgical critically ill patients
  12. 492
    “…We sought to verify whether the Acute Physiology and Chronic Health Evaluation II (APACHE II) can predict freedom from prolonged mechanical ventilation (PMV) in patients treated in a regional weaning centre. …”
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    Online Artículo Texto
    APACHE II score cannot predict successful weaning from prolonged mechanical ventilation
  13. 493
    “…In conclusion, septic patients with low APACHE II scores were at a higher mortality risk than expected, and subsequent sepsis rather than index sepsis was the primary cause of death. …”
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    Online Artículo Texto
    Clinical Trajectories and Causes of Death in Septic Patients with a Low APACHE II Score
  14. 494
    “…RESULTS: DECA is a horizontally scalable implementation of the XHMM algorithm using the ADAM framework and Apache Spark that incorporates novel algorithmic optimizations to eliminate unneeded computation. …”
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    Online Artículo Texto
    DECA: scalable XHMM exome copy-number variant calling with ADAM and Apache Spark
  15. 495
    “…The Acute Physiology and Chronic Health Evaluation IV (APACHE IV) scoring system is useful for estimating the hospital mortality of high-risk patients. …”
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    Online Artículo Texto
    APACHE IV system helps to determine role of cholecystostomy in elderly patients with acute cholecystitis
  16. 496
    “…Therefore, this paper proposes hybrid machine learning techniques that include feature selection methods and machine learning classification algorithms based on big data platforms (Apache Spark) that were used to detect chronic kidney disease (CKD). …”
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    Online Artículo Texto
    Predicting Chronic Kidney Disease Using Hybrid Machine Learning Based on Apache Spark
  17. 497
    “…In this paper, we propose a parallel multiobjective PSO weighted average clustering algorithm based on apache Spark (Spark-MOPSO-Avg). First, the entire data set is divided into multiple partitions and cached in memory using the distributed parallel and memory-based computing of Apache Spark. …”
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    Online Artículo Texto
    A Parallel Multiobjective PSO Weighted Average Clustering Algorithm Based on Apache Spark
  18. 498
    “…CASE REPORT: Here, we describe the clinical course of a 51-year-old male patient with terminal kidney disease who suffered from the rare benign pruritic condition of Grzybowski’s generalized eruptive keratoacanthomas (GEKA) and experienced a significant reduction of lesions and symptoms upon topical therapy with imiquimod 5% cream and lapacho tea dressings alike. CONCLUSIONS: Very little is known about the potential antiinflammatory or antiproliferative effects on the epidermis of the popular phytotherapeutic agent lapacho tea. …”
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    Online Artículo Texto
    Grzybowski’s Generalized Eruptive Keratoacanthomas in a Patient with Terminal Kidney Disease—An Unmet Medical Need Equally Ameliorated by Topical Imiquimod Cream and Lapacho Tea Wraps: A Case Report
  19. 499
    por Jácome Camacho, Yoselic
    Publicado 2010
    Tesis Libro
    El cine mexicano su presencia e influencia en la primera gran construcción de la vida nacional 1934-1940
  20. 500
    por Deshpande, Tanmay
    Publicado 2016
    Enlace del recurso
    Hadoop real world solutions cookbook: over 90 hands-on recipes to help you learn and master the intricacies of Apache Hadoop 2.X, YARN, Hive, Pig, Oozie, Flume, Sqoop, Apache Spark, and Mahout
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