Quasi-fourier modeling for individual and count outcomes

Michael Friger, Yelena Novack, Ulrich Ranft

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This article develops a model based on time-series analysis for investigating health outcome, such as disease or death, in relation to levels of air pollution. The model is built under assumption that any health outcome belongs to multivariate hierarchical system and depends on meteorology, pollution, geophysical and socio-cultural variables in it. The possible connections in this system are considered and mathematically formalized by means of trigonometric and polynomial functions. The model is tested by two simulations: (1) with count outcomes taken from Philadelphia daily mortality records for the period from 1974 to 1980; (2) with the individual outcomes taken from the peak flow measurements in 48 adults with vulnerable respiratory system in Leipzig, Germany, October 1990 - April 1991.

Original languageEnglish
Title of host publicationMedical Data Analysis - 2nd International Symposium, ISMDA 2001, Proceedings
EditorsJose Crespo, Victor Maojo, Fernando Martin
PublisherSpringer Verlag
Pages95-100
Number of pages6
ISBN (Electronic)3540427341, 9783540427346
DOIs
StatePublished - 1 Jan 2001
Event2nd International Symposium on Medical Data Analysis, ISMDA 2001 - Madrid, Spain
Duration: 8 Oct 20019 Oct 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2199
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Symposium on Medical Data Analysis, ISMDA 2001
Country/TerritorySpain
CityMadrid
Period8/10/019/10/01

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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