Modeling Pneumococcal Resistance to Penicillin in Southern Sweden Using Artificial Neural Networks-Reference-Cited by-同舟云学术

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Modeling Pneumococcal Resistance to Penicillin in Southern Sweden Using Artificial Neural Networks

Published:2006-09 Issue:3 Volume:12 Page:149-157
ISSN:1076-6294
Container-title:Microbial Drug Resistance
language:en
Short-container-title:Microbial Drug Resistance

Author:

Geli Patricia¹²³,Rolfhamre Per²³,Almeida Jonas⁴,Ekdahl Karl³⁵⁶

Affiliation:

1. Division of Mathematical Statistics, Stockholm University, Stockholm, Sweden.

2. Department of Epidemiology, Swedish Institute for Infectious Disease Control (SMI), Stockholm, Sweden.

3. Stockholm Group for Epidemic Modeling, Stockholm, Sweden.

4. Department for Biostatistics and Applied Mathematics, University of Texas M.D. Anderson Cancer Center, Texas.

5. Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.

6. European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden.

Publisher

Mary Ann Liebert Inc

Subject

Microbiology (medical),Pharmacology,Immunology,Microbiology

Link

http://www.liebertpub.com/doi/pdf/10.1089/mdr.2006.12.149

Reference23 articles.

1. Antibiotic Selection Pressure and Resistance inStreptococcus pneumoniaeandStreptococcus pyogenes

2. Predictive non-linear modeling of complex data by artificial neural networks

3. Normalization and analysis of residual variation in two-dimensional gel electrophoresis for quantitative differential proteomics

4. Antimicrobial Resistance in Streptococcus pneumoniae: An Overview

5. The Relationship between Antimicrobial Use and Antimicrobial Resistance in Europe

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