Results 21 to 30 of about 284,564 (225)
A Comparison of Intensive Care Unit Mortality Prediction Models through the Use of Data Mining Techniques [PDF]
Healthcare Informatics Research, 2011 ObjectivesThe intensive care environment generates a wealth of critical care data suited to developing a well-calibrated prediction tool. This study was done to develop an intensive care unit (ICU) mortality prediction model built on University of ...
Sujin Kim, Woojae Kim, Rae Woong Park
doaj +1 more source
Indirect calorimetry versus usual care: a retrospective cohort study.
Critical Care Innovations, 2022 NTRODUCTION: : This is a study evaluating the effect of Indirect calorimetry on the length of stay. The study comprises of the comparison between the use of indirect calorimetry versus usual care in critically ill mechanically ventilated patients with ...
Sanjith Saseedharan +4 more
doaj +1 more source
Comparison of APACHE Scoring Systems in Predicting Mortality in ICU: a Systematic Review and Meta-Analysis [PDF]
Journal of Advanced Biomedical Sciences, 2020 Background & Objective: APACHE scoring systems are performed to predict the mortality rate of patients admitted to the hospital's intensive care unit (ICU). At present, APACHE II, III and VI are used in ICUs of Iranian hospitals.
Saeed Khorramnia +5 more
doaj
Implementasi Load Balancing Pada Web Server Menggunakan Nginx
Jurnal Teknologi dan Manajemen Informatika, 2020 Kebutuhan internet mempengaruhi pengunjung website semakin meningkat dan membuat beban traffic meningkat pada server, semakin banyak jumlah traffic ke server bisa menyebabkan web server menjadi down, jika digunakan dengan jumlah berlebih (overload ...
Fahmi Apriliansyah +2 more
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mod_oai: An Apache Module for Metadata Harvesting
, 2005 We describe mod_oai, an Apache 2.0 module that implements the Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH). OAIPMH is the de facto standard for metadata exchange in digital libraries and allows repositories to expose their contents
Harrison, Terry L. +4 more
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Multi-Objective Big Data Optimization with jMetal and Spark [PDF]
, 2017 Big Data Optimization is the term used to refer to optimization problems which have to manage very large amounts of data. In this paper, we focus on the parallelization of metaheuristics with the Apache Spark cluster computing system for solving multi ...
A Cabanas-Abascal +11 more
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Real-time predictive maintenance for wind turbines using Big Data frameworks
, 2017 This work presents the evolution of a solution for predictive maintenance to a Big Data environment. The proposed adaptation aims for predicting failures on wind turbines using a data-driven solution deployed in the cloud and which is composed by three ...
Canizo, Mikel +4 more
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BigData Analysis in Healthcare: Apache Hadoop , Apache spark and Apache Flink
Frontiers in Health Informatics, 2019 Introduction: Health care data is increasing. The correct analysis of such data will improve the quality of care and reduce costs. This kind of data has certain features such as high volume, variety, high-speed production, etc. It makes it impossible to analyze with ordinary hardware and software platforms. Choosing the right platform for managing this
Elham Nazari +2 more
openaire +2 more sources
The New SDSS 2.5 m Telescope Wide-field Corrector for SDSS-V
The Astronomical JournalSDSS-V is the fifth generation of the Sloan Digital Sky Survey and is an ambitious follow-up to a project that has been producing ground-breaking science for more than two decades.
Stephen A. Smee +22 more
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Benchmarking Distributed Stream Data Processing Systems
, 2019 The need for scalable and efficient stream analysis has led to the development of many open-source streaming data processing systems (SDPSs) with highly diverging capabilities and performance characteristics.
Heiskanen, Henri +5 more
core +2 more sources