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Evaluating Metagenomic Analysis for Pathogen Transmission in Healthcare Settings

Curt Hewitt, Katharina Weber, Danielle LeSassier, Anthony Kappell, Kathleen Schulte, Nicole Westfall, Nicolette Albright, Gene Godbold, Veena Palsikar, Carlos Acevedo, Krista Ternus
2020 Infection control and hospital epidemiology  
Pathogen transfer between skin coupons was measured following direct skin contact and fomite surface transmission. The effects of handwashing or fomite decontamination were also evaluated.  ...  The objective of this CDC-funded project was to evaluate and correlate sequencing approaches for pathogen transmission with standard culture-based analysis.  ...  The implementation of a GDH/Toxin/ PCR stepwise algorithm would have reduced the annual cost to US $160,488.75, with 6 false-negative results and 1 false-positive Evaluating the Cost-Effectiveness of  ... 
doi:10.1017/ice.2020.768 fatcat:caborshf6rh3zo6iga6bxdguyy

Impact of the Validity Analysis Model and Multirelational Data Clustering Based on the Trust Probability

Zhongzhen Zhang, Muhammad Talha, Muhammad Arif
2022 Security and Communication Networks  
In view of the present poor impact of multi relational data clustering, a multirelational data clustering effectiveness analysis model based on trusted probability is created.  ...  The construction of the multirelational data clustering trusted probability evaluation model, standardization of the multirelational data clustering trusted probability evaluation index, optimization of  ...  Trust Probability Evaluation Algorithm for Cluster Analysis of Multirelational Data. e process of judging the clustering results is called clustering effectiveness analysis.  ... 
doi:10.1155/2022/4852736 fatcat:ixmwdaf7nje6pdtyvwdaaqta3a

A survey of dimension reduction and classification methods for RNA-Seq data on malaria vector

Micheal Olaolu Arowolo, Marion Olubunmi Adebiyi, Charity Aremu, Ayodele A. Adebiyi
2021 Journal of Big Data  
contributes to the advances of RNA-Sequencing approach.  ...  AbstractRecently unique spans of genetic data are produced by researchers, there is a trend in genetic exploration using machine learning integrated analysis and virtual combination of adaptive data into  ...  classification algorithms requires, getting the evaluation measures requires the output results of a classification confusion matrix, which comprises of the metrics used in evaluating the classified models  ... 
doi:10.1186/s40537-021-00441-x fatcat:zwdbm44x5bak5bzror2ajegfzq

Infrared and Low-Light-Level Image Fusion Quality Evaluation Based on the Grey Correlation Analysis

Weipeng Zhang
2013 Research Journal of Applied Sciences Engineering and Technology  
In this study, we evaluate comprehensively the indexes of the five image fusion algorithms through the analysis of grey correlation degree.  ...  The result shows: HIS transform method shows a better correlation and the fusion image has the best quality; followed by the component transform method, wavelet transform method, weighed average method  ...  of the information of a variable contained in another variable and is used to measure the mutual information amount between fusion image and source image and to evaluate the effect of fusion.  ... 
doi:10.19026/rjaset.5.4597 fatcat:hs7haj4lknfjtk42m424fesc5a

Toward a Complete E-learning System Framework for Semantic Analysis, Concept Clustering and Learning Path Optimization

Vincent Tam, Edmund Y. Lam, S.T. Fung
2012 2012 IEEE 12th International Conference on Advanced Learning Technologies  
Therefore, we propose in this paper a complete system framework that can perform an explicit semantic analysis on the course materials, possibly aided by the relevant Wiki articles for any missing information  ...  about the involved concepts, to formulate the individual concepts, and followed by a heuristic-based concept clustering algorithm to group relevant concepts before finding their relationship measures.  ...  ACKNOWLEDGMENT The authors would like to thank Dr. Kinshuk, Dr. Daniel Churchil and Professor Yi Shang for their fruitful discussions.  ... 
doi:10.1109/icalt.2012.66 dblp:conf/icalt/TamLF12 fatcat:tlj574sbazcfpjzprvbi2mpoxm

Image Scrambling Degree Evaluation Algorithm Based on Grey Relation Analysis

Tan Yongjie, Zhou Wengang
2010 2010 International Conference on Computational and Information Sciences  
Finally the gray relevancy of every two sequences using gray relation analysis is calculated to evaluate the image scrambling degree.  ...  In order to objectively and automatically evaluate the degree of digital image scrambling, introduce the grey relation analysis theory, the paper proposes a new evaluation method of image scrambling.  ...  L's length reduces to nbins. (3) The gray relevancy of every two sequences using gray relation analysis is calculated to get The bigger the scrambling factor is, the larger the correlation of the sub-images  ... 
doi:10.1109/iccis.2010.131 fatcat:2fln6m4o75fwzb2fipzvjhlfeu

Collective Intelligence for Smarter API Recommendations in Python [article]

Andrea Renika D'Souza, Di Yang, Cristina V. Lopes
2016 arXiv   pre-print
To evaluate the effectiveness of our system, the code completion queries are automatically extracted from projects and tested quantitatively using a ten-fold cross validation technique.  ...  A fair amount of work has been done recently to improve the relevance of these code completion results, especially for statically typed languages like Java.  ...  ACKNOWLEDGMENTS This work was partly supported by a grant from the DARPA MUSE program.  ... 
arXiv:1608.08736v1 fatcat:bw2xsdfdcnap5dntcu6olabnwu

Importance of Features Selection, Attributes Selection, Challenges and Future Directions for Medical Imaging Data: A Review

Nazish Naheed, Muhammad Shaheen, Sajid Ali Khan, Mohammed Alawairdhi, Muhammad Attique Khan
2020 CMES - Computer Modeling in Engineering & Sciences  
Moreover, this review provides the importance of feature selection for correct classification of medical infections. In the end, critical analysis and future directions are provided.  ...  With the exponential growth of information investments in medical data repositories and health service provision, medical institutions are collecting large volumes of data.  ...  MRMR Algorithm Maximum Relevance and Maximum Dependency (MRMR) [77] selects attributes on the basis of two evaluation measures dependency and relevance.  ... 
doi:10.32604/cmes.2020.011380 fatcat:h4tkzadk5rfv5fei7bzyguhdlm

Evaluation of performance of leading algorithms for variant pathogenicity predictions and designing a combinatory predictor method: application to Rett syndrome variants

Satishkumar Ranganathan Ganakammal, Emil Alexov
2019 PeerJ  
Methods We used the clinically significant variants from ClinVar database to evaluate the performance of 14 most popular in-silico predictors using supervised learning methods.  ...  Results The results from analysis shows an optimized selection of prediction algorithm and developed a combinatory predictor method.  ...  of pairwise sequence alignment scores to predict the biological effect on the protein function (Choi et al., 2012) uses supervised learning method utilizing p-values generated by gene prioritization  ... 
doi:10.7717/peerj.8106 pmid:31799076 pmcid:PMC6884988 fatcat:eqagvalxdfacjfcrjz4n4jzzti

Using a Cognitive/Metacognitive Task Model to Analyze Students Learning Behaviors [chapter]

Gautam Biswas, John S. Kinnebrew, James R. Segedy
2014 Lecture Notes in Computer Science  
The results of this analysis provide a foundation for developing performance-and behavior-based learner models in conjunction with adaptive scaffolding mechanisms to promote effective, personalized learning  ...  Adapting to learners' needs and providing useful, individualized feedback to help them succeed has been a hallmark of most intelligent tutoring systems.  ...  Integrating Theory-Driven Measures with Data-Driven Analysis Common behavior patterns identified by the sequence mining algorithm have to be interpreted and analyzed by researchers to identify a relevant  ... 
doi:10.1007/978-3-319-07527-3_18 fatcat:5x2pp2z4ifc7dgtahlumbwzf3m

Event-Based Summarization of News Articles

2020 Turkish Journal of Electrical Engineering and Computer Sciences  
In recent years by the increase of available digital information in the Web, the time needed to find the 3 relevant information is also increased.  ...  2002 datasets, and 9 the results outperformed most of the other well-known summarization methods. 10  ...  Generic text summarization using relevance measure and latent semantic analysis.  ... 
doi:10.3906/elk-1904-98 fatcat:ugwbacbbu5eo5g3jifyqhfcrr4

Query Directed Web Page Clustering

Daniel Crabtree, Peter Andreae, Xiaoying Gao
2006 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings)(WI'06)  
In this paper, we describe a new web page clustering algorithm, QDC, which uses the user's query as part of a reliable measure of cluster quality.  ...  for cluster selection that uses the query directed cluster quality guide, and a new method of improving clusters by ranking the pages by relevance to the cluster.  ...  Acknowledgment Daniel Crabtree is supported by a Top Achiever Doctoral Scholarship from the Tertiary Education Commission of New Zealand.  ... 
doi:10.1109/wi.2006.142 dblp:conf/webi/CrabtreeAG06 fatcat:qxwagpjolff57gcrkipr7i5zpi

An Analysis Of The Mongeau-Sankoff Algorithm For Music Information Retrieval

Carlos Gómez, Soraya Abad-Mota, Edna Ruckhaus
2007 Zenodo  
EXPERIMENTAL STUDY We conducted experiments to evaluate the effectiveness of the Mongeau-Sankoff algorithm as a similarity measure for music retrieval, using the document collections and the ground truth  ...  The objective function to be maximized was the average of the four quality measures used to evaluate the algorithms in the melodic similarity task of MIREX 2005; a previous use of this objective function  ... 
doi:10.5281/zenodo.1417930 fatcat:fo57hsfw4veyvkjpt2oj6vmzbm

A feature selection method based on multiple kernel learning with expression profiles of different types

Wei Du, Zhongbo Cao, Tianci Song, Ying Li, Yanchun Liang
2017 BioData Mining  
Firstly, the relevance between features and classifying samples is measured by using the optimizing function of MKL.  ...  Because most of these data have small number of samples and hundreds or thousands features, how to extract informative features from expression data effectively and robustly using feature selection technique  ...  Funding This work was supported in part by grants from The National Natural Science Foundation of China 61402194, 61472158 and 61572227 and China Postdoctoral Science Foundation 2014 T70291.  ... 
doi:10.1186/s13040-017-0124-x pmid:28184251 pmcid:PMC5288949 fatcat:bjirtin2krbo5af4itoi64ydry

Hierarchical motion analysis for fast summarisation of scalable coded video

Marta Mrak, Janko Calic, Giovanni Cordara, Ahmet Kondoz
2008 2008 IEEE International Conference on Multimedia and Expo  
By combining the analysis of inherently hierarchical motion activity measure and a fast geometrical curve simplification algorithm, a set of the most representative key-frames is generated in a very fast  ...  Due to a high demand for efficient video summarisation and video adaptation technologies, this paper focuses on utilisation of compressed domain feature extraction and hierarchical analysis of motion information  ...  For both test sequences, the analysis algorithms have achieved representative summaries. Evaluation of the quality of summarisation and related complexities are shown in Table 1 .  ... 
doi:10.1109/icme.2008.4607683 dblp:conf/icmcs/MrakCCK08 fatcat:5c6nbadqsve4xlhpgdjqr4ztwy
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