eprintid: 13614
rev_number: 6
eprint_status: archive
userid: 353
dir: disk0/00/01/36/14
datestamp: 2016-08-09 06:59:25
lastmod: 2021-08-27 17:41:27
status_changed: 2016-08-09 06:59:25
type: book_section
metadata_visibility: show
item_issues_count: 2
creators_name: Asachenkov, A.
creators_id: AL1649
title: Nonlinear models and data analysis of cancer patients
ispublished: pub
abstract: New methods for analyzing clinical data for oncological patients are developed. These data are considered as observed variables of the mathematical tumor model. The connection between a mortality index and individual dynamics of the observed data is discussed. This approach allows the clinically unexpressed part of the tumor process to be observed, and it also allows the process to be examined during treatment.
date: 1989-05
date_type: published
publisher: IEEE
id_number: doi:10.1109/ISCAS.1989.100672
creators_browse_id: 2679
full_text_status: none
place_of_pub: Portland, Oregan
pagerange: 1617-1619
refereed: TRUE
book_title: IEEE International Symposium on Circuits and Systems
coversheets_dirty: FALSE
fp7_type: info:eu-repo/semantics/bookPart
citation:   Asachenkov, A. <https://pure.iiasa.ac.at/view/iiasa/2679.html>  (1989).  Nonlinear models and data analysis of cancer patients.    In:  IEEE International Symposium on Circuits and Systems.  pp. 1617-1619 Portland, Oregan: IEEE.  10.1109/ISCAS.1989.100672 <https://doi.org/10.1109/ISCAS.1989.100672>.