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Authors: Roman Suvorov 1 ; Ivan Smirnov 2 ; Konstantin Popov 3 ; Nikolay Yarygin 4 and Konstantin Yarygin 5

Affiliations: 1 Institute for Systems Analysis of Russian Academy of Sciences, Russian Federation ; 2 Institute of Systems Analysis of Russian Academy of Sciences, Russian Federation ; 3 Engelhardt Institute of Molecular Biology Russian Academy of Sciences, Russian Federation ; 4 State University of Medicine and Dentistry, Russian Federation ; 5 Russian Academy of Medical Sciences, Russian Federation

ISBN: 978-989-758-077-2

Keyword(s): Clinical Trials, Meta Analysis, Information Retrieval, Natural Language Processing, Machine Learning.

Related Ontology Subjects/Areas/Topics: Active Learning ; Applications ; Artificial Intelligence ; Classification ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Natural Language Processing ; On-Line Learning ; Pattern Recognition ; Symbolic Systems ; Theory and Methods

Abstract: To estimate patients risks and make clinical decisions, evidence based medicine (EBM) relies upon the results of reproducible trials and experiments supported by accurate mathematical methods. Experimental and clinical evidence is crucial, but laboratory testing and especially clinical trials are expensive and time-consuming. On the other hand, a new medical product to be evaluated may be similar to one or many already tested. Results of the studies hitherto performed with similar products may be a useful tool to determine the extent of further pre-clinical and clinical testing. This paper suggests a workflow design aimed to support such an approach including methods for information collection, assessment of research reliability, extraction of structured information about trials and meta-analysis. Additionally, the paper contains a discussion of the issues emering during development of an integrated software system that implements the proposed workflow.

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Paper citation in several formats:
Suvorov, R.; Smirnov, I.; Popov, K.; Yarygin, N. and Yarygin, K. (2015). Assessment of the Extent of the Necessary Clinical Testing of New Biotechnological Products Based on the Analysis of Scientific Publications and Clinical Trials Reports.In Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM, ISBN 978-989-758-077-2, pages 343-348. DOI: 10.5220/0005287403430348

@conference{icpram15,
author={Roman Suvorov. and Ivan Smirnov. and Konstantin Popov. and Nikolay Yarygin. and Konstantin Yarygin.},
title={Assessment of the Extent of the Necessary Clinical Testing of New Biotechnological Products Based on the Analysis of Scientific Publications and Clinical Trials Reports},
booktitle={Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,},
year={2015},
pages={343-348},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005287403430348},
isbn={978-989-758-077-2},
}

TY - CONF

JO - Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,
TI - Assessment of the Extent of the Necessary Clinical Testing of New Biotechnological Products Based on the Analysis of Scientific Publications and Clinical Trials Reports
SN - 978-989-758-077-2
AU - Suvorov, R.
AU - Smirnov, I.
AU - Popov, K.
AU - Yarygin, N.
AU - Yarygin, K.
PY - 2015
SP - 343
EP - 348
DO - 10.5220/0005287403430348

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