Assessment of Dendritic Cell Therapy Effectiveness Based on the Feature Extraction from Scientific Publications

Alexey Yu. Lupatov, Alexander I. Panov, Roman E. Suvorov, Alexander V. Shvets, Konstantin N. Yarygin, Galina D. Volkova

2015

Abstract

Dendritic cells (DCs) vaccination is a promising way to contend cancer metastases especially in the case of immunogenic tumors. Unfortunately, it is only rarely possible to achieve a satisfactory clinical outcome in the majority of patients treated with a particular DC vaccine. Apparently, DC vaccination can be successful with certain combinations of features of the tumor and patients immune system that are not yet fully revealed. Difficulty in predicting the results of the therapy and high price of preparation of individual vaccines prevent wider use of DC vaccines in medical practice. Here we propose an approach aimed to uncover correlation between the effectiveness of specific DC vaccine types and personal characteristics of patients to increase efficiency of cancer treatment and reduce prices. To accomplish this, we suggest two-step analysis of published clinical trials results for DCs vaccines: first, the information extraction subsystem is trained, and, second, the extracted data is analyzed using JSM and AQ methodology.

Paper Citation

in Harvard Style

Yu. Lupatov A., I. Panov A., E. Suvorov R., V. Shvets A., N. Yarygin K. and D. Volkova G. (2015). Assessment of Dendritic Cell Therapy Effectiveness Based on the Feature Extraction from Scientific Publications . In Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM, ISBN 978-989-758-077-2, pages 270-276. DOI: 10.5220/0005248802700276

in Bibtex Style

@conference{icpram15,
author={Alexey Yu. Lupatov and Alexander I. Panov and Roman E. Suvorov and Alexander V. Shvets and Konstantin N. Yarygin and Galina D. Volkova},
title={Assessment of Dendritic Cell Therapy Effectiveness Based on the Feature Extraction from Scientific Publications},
booktitle={Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,},
year={2015},
pages={270-276},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005248802700276},
isbn={978-989-758-077-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,
TI - Assessment of Dendritic Cell Therapy Effectiveness Based on the Feature Extraction from Scientific Publications
SN - 978-989-758-077-2
AU - Yu. Lupatov A.
AU - I. Panov A.
AU - E. Suvorov R.
AU - V. Shvets A.
AU - N. Yarygin K.
AU - D. Volkova G.
PY - 2015
SP - 270
EP - 276
DO - 10.5220/0005248802700276