Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Melanie Osl"'
Publikováno v:
Journal of the American Medical Informatics Association : JAMIA
Objective: Predictive models that generate individualized estimates for medically relevant outcomes are playing increasing roles in clinical care and translational research. However, current methods for calibrating these estimates lose valuable infor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a789bd49b67873f13743bffdd3aabbba
https://doi.org/10.1136/amiajnl-2011-000291
https://doi.org/10.1136/amiajnl-2011-000291
Autor:
Christian Baumgartner, F. Hanser, M. Wurz, Michael Seger, Melanie Osl, Günter Schreier, B. Pfeifer, Michael Netzer, Robert Modre-Osprian
Publikováno v:
Methods of Information in Medicine. 49:290-293
Summary Objectives: In this work, a cellular automaton software package for simulating different infectious diseases, storing the simulation results in a data warehouse system and analyzing the obtained results to generate prediction models as well a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69016aed7a5639452c31530451c7055f
https://doi.org/10.3414/me09-02-0025
https://doi.org/10.3414/me09-02-0025
Autor:
Bernhard Pfeifer, Georg Schäfer, Stephan Dreiseitl, Helmut Klocker, Klaus M. Weinberger, Melanie Osl, Armin Graber, Christian Baumgartner, Georg Bartsch, Bernhard Tilg
Publikováno v:
Bioinformatics. 24:2908-2914
Motivation: Prostate cancer is the most prevalent tumor in males and its incidence is expected to increase as the population ages. Prostate cancer is treatable by excision if detected at an early enough stage. The challenges of early diagnosis requir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f0393734eeab7b575803cebe4ed1c29
https://doi.org/10.1093/bioinformatics/btn506
https://doi.org/10.1093/bioinformatics/btn506
Autor:
Andreas Dander, Christian Baumgartner, Manfred Wurz, Maria Mercedes Tejada, Michael Seger, Karl G. Kugler, Armin Graber, Bernhard Pfeifer, Michael Handler, Bernhard Tilg, Melanie Osl, Michael Netzer
Publikováno v:
The Open Medical Informatics Journal
In this paper, a cellular automaton framework for processing the spatiotemporal spread of infectious diseases is presented. The developed environment simulates and visualizes how infectious diseases might spread, and hence provides a powerful instrum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30b0985a6d41c42bab11483b84321490
https://doi.org/10.2174/1874431100802010070
https://doi.org/10.2174/1874431100802010070
Publikováno v:
AMIA ... Annual Symposium proceedings. AMIA Symposium. 2010
Medical diagnosis and prognosis using machine learning methods is usually represented as a supervised classification problem, where a model is built to distinguish "normal" from "abnormal" cases. If cases are available from only one class, this appro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::034293770e83507219e3c7cc15d97d2c
https://pubmed.ncbi.nlm.nih.gov/21346963
https://pubmed.ncbi.nlm.nih.gov/21346963
Autor:
Melanie Osl, Stephan Dreiseitl
Publikováno v:
Biomedical Engineering.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ebda555e8cf73b624a4382e123c26f3
https://doi.org/10.2316/p.2010.723-072
https://doi.org/10.2316/p.2010.723-072
Publikováno v:
Artificial intelligence in medicine. 50(3)
Objective: To evaluate and compare the performance of different rule-ranking algorithms for rule-based classifiers on biomedical datasets. Methodology: Empirical evaluation of five rule ranking algorithms on two biomedical datasets, with performance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01e2b3612ec760fde5d4761d2260bd85
https://pubmed.ncbi.nlm.nih.gov/20466526
https://pubmed.ncbi.nlm.nih.gov/20466526
Autor:
Melanie Osl
Publikováno v:
African Journal of Information & Communication Technology; Vol 5 No 2 (2009)
In this paper we give a survey of the combination of classifiers. We briefly describe basic principles of machine learning and the problem of classifier construction and review several approaches to generate different classifiers as well as establish
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d541b5af438726670544ce9322efdcaf
https://doi.org/10.5130/ajict.v5i2.1152
https://doi.org/10.5130/ajict.v5i2.1152
Autor:
Stephan Dreiseitl, Melanie Osl
Publikováno v:
Computer Aided Systems Theory-EUROCAST 2009 ISBN: 9783642047718
EUROCAST
EUROCAST
The process of feature selection is an important first step in building machine learning models. Feature selection algorithms can be grouped into wrappers and filters; the former use machine learning models to evaluate feature sets, the latter use ot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::984a3e17fb82ebaf6dd7d78661bea837
https://doi.org/10.1007/978-3-642-04772-5_99
https://doi.org/10.1007/978-3-642-04772-5_99
Autor:
Melanie, Osl, Lucila, Ohno-Machado, Christian, Baumgartner, Bernhard, Tilg, Stephan, Dreiseitl
Publikováno v:
AMIA ... Annual Symposium proceedings. AMIA Symposium.
To improve the calibration of logistic regression (LR) estimates using local information.Individualized risk assessment tools are increasingly being utilized. External validation of these tools often reveals poor model calibration.We combine a cluste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::c4f30630d6ba69e910e203db2bdc2596
https://pubmed.ncbi.nlm.nih.gov/18998878
https://pubmed.ncbi.nlm.nih.gov/18998878