Results 51 to 60 of about 20,810 (198)

Early prediction of multiple organ failure for sepsis patients based on machine learning algorithms

Journal of Intelligent Medicine, EarlyView.
Abstract In recent years, there has been a notable rise in sepsis incidence leading to more multiple organ failure and higher mortality. The lack of effective treatments for sepsis highlights the importance of early prediction in preventing multiple organ failure. This study aimed to develop a model for the early prediction of multiple organ failure in
Runnan He, Nan Su, Yuqing Wang, Yulin Sun, Xin Weng, Tania Pereira, Chenggong Hu, Keliang Xie, Meijun Pang, Kuo Zhang, Chuanxiang Huang, Xiuyun Liu   +11 more
wiley   +1 more source

Performance Optimization System for Hadoop and Spark Frameworks

Cybernetics and Information Technologies, 2020
The optimization of large-scale data sets depends on the technologies and methods used. The MapReduce model, implemented on Apache Hadoop or Spark, allows splitting large data sets into a set of blocks distributed on several machines.
Astsatryan Hrachya, Kocharyan Aram, Hagimont Daniel, Lalayan Arthur   +3 more
doaj   +1 more source

Genetic analysis of primary lung interdigitating dendritic cell sarcomas

The Journal of Pathology, EarlyView.
Abstract Interdigitating dendritic cell sarcomas (IDCSs) are rare tumors that commonly arise in the hematopoietic system and rarely outside. The genetic drivers of IDCS carcinogenesis are unknown; therefore, therapeutic options are limited. We investigated somatic gene mutations and copy‐number alterations (CNAs) in nine IDCSs arising in the lung by ...
Mikhail S Ermakov, Juliana Faria Filipe, Sylvia Eidenhammer, German Ott, Iris Halbwedl, Karl Kashofer, Helmut Popper   +6 more
wiley   +1 more source

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, Karimov, Jeyhun, Katsifodimos, Asterios, Markl, Volker, Rabl, Tilmann, Samarev, Roman   +5 more
core   +2 more sources

Current Flow Betweenness Centrality with Apache Spark [PDF]

, 2016
The identification of the most central nodes of a graph is a fundamental task of data analysis. The current flow betweenness is a centrality index which considers how the information flows along all the paths of a graph, not only on the shortest ones. Finding the exact value of the current flow betweenness is computationally expensive for large graphs,
Bertolucci, Massimiliano, Lulli, Alessandro, Ricci, Laura   +2 more
openaire   +3 more sources

Nutritional properties, traditional uses and potential new applications for the sotol plant (Asparagaceae, Convallarioideae): A review

PLANTS, PEOPLE, PLANET, EarlyView.
Sotol (Dasylirion spp.) is a resilient desert plant that sustains ecosystems, cultures and livelihoods in Chihuahua Desert. Our review highlights its nutritional properties, traditional uses and potential new applications in food, pharmaceuticals, renewable energy and water remediation. By synthesizing evidence across disciplines, we show how sotol can
Dámaris Leopoldina Ojeda Barrios, Antonio Martínez Ruiz, Marisela Calderón Jurado, Ramón Saúl Luján Aguirre, Juan Luis Jacobo Cuellar, Oscar Sariñana‐Aldaco, María Teresa Martínez Damián, Oscar Cruz Alvarez   +7 more
wiley   +1 more source

Software analysis of scientific texts: comparative study of distributed computing frameworks

Радіоелектронні і комп'ютерні системи
The relevance of this study is related to the need for efficient analysis of scientific texts in the context of the growing amount of information.
Serik Altynbek, Gabit Shuitenov, Madi Muratbekov, Alibek Barlybayev   +3 more
doaj   +1 more source

Apache Spark Streaming, Kafka and HarmonicIO: A Performance Benchmark and Architecture Comparison for Enterprise and Scientific Computing

, 2019
This paper presents a benchmark of stream processing throughput comparing Apache Spark Streaming (under file-, TCP socket- and Kafka-based stream integration), with a prototype P2P stream processing framework, HarmonicIO.
Blamey, Ben, Hellander, Andreas, Toor, Salman   +2 more
core   +1 more source

Predicting Failure at Initiation of High‐Flow Nasal Oxygen in Patients With COVID‐19: Literature Review, Development and Internal Validation of a Prediction Model

Respirology, EarlyView.
A prediction model was developed for high‐flow nasal oxygen (HFNO) failure in acute hypoxemic patients with COVID‐19 pneumonia using predictors available prior to HFNO initiation. This stable and good‐performing model can assist in clinical decision‐making at a critical point, aiding timely intervention for patients at risk of HFNO failure.
Daphne J. T. Sjauw, Matthijs L. Janssen, Yasemin Türk, Carmen A. T. Reep, Leo Heunks, Sara J. Baart, Evert‐Jan Wils, on behalf of the Dutch HFNO study group, NORMO2 project group, E. J. Wils, H. Endeman, W. Hanselaar, M. L. Janssen, Y. Türk, R. A. S. Hoek, R. Heller, D. P. Boer, J. H. Elderman, A. Dubois, O. Hoiting, J. Holters, M. vd Steen‐Dieperink, L. Heunks, E. J. Wils, S. J. Baart, M. L. Duiverman, L. M. Fleuren, L. C. Urlings‐Strop, J. G. van den Aardweg, D. Weller, C. A. T. Reep, D. J. T. Sjauw   +31 more
wiley   +1 more source

An Efficient Approach to Extract and Store Big Semantic Web Data Using Hadoop and Apache Spark GraphX

Advances in Distributed Computing and Artificial Intelligence Journal
The volume of data is growing at an astonishingly high speed. Traditional techniques for storing and processing data, such as relational and centralized databases, have become inefficient and time-consuming. Linked data and the Semantic Web make internet
Wria Mohammed Salih Mohammed, Alaa Khalil Jumaa   +1 more
doaj   +1 more source