Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Jens Madsen

Biographic Data

ID6842626
NAMEJens Madsen
GIVEN NAMESJens
FAMILY NAMEMadsen
SIGNATUREMADSEN J
AFFILIATIONSUniversity College Hospital
ORCID0000-0003-1664-7645
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2021
H-INDEX0
  • Genetic Variants of DMBT1 and SFTPD and Disease Severity in Paediatric Inflammatory Bowel Disease—A Polish Population-Based Study

    Open Access•Aleksandra Glapa-Nowak, Mariusz Szczepanik et al.•ARTICLE•Children•2021

    Deleted in malignant brain tumours 1 protein (DMBT1) and surfactant protein D (SFTPD) are antimicrobial peptides previously linked to inflammatory bowel disease (IBD) susceptibility. This study attempts to link the most potential IBD-associated polymorphisms in DMBT1 and SFTPD with the disease severity in children. A total of 406 IBD patients (Crohn's disease (CD) n = 214 and ulcerative colitis (UC) n = 192) were genotyped using hydrolysis probe …

  • Calibrating Agent-Based Models with Linear Regressions

    Open Access•Ernesto Carrella, Richard M Bailey et al.•ARTICLE•Journal of Artificial Societies…•2020

    In this paper, we introduce a simple way to parametrize simulation models by using regularized linear regression. Regressions bypass the three major challenges of calibrating by minimization: selecting the summary statistics, defining the distance function and minimizing it numerically. By substituting regression with classification, we can extend this approach to model selection. We present five example estimations: a statistical fit, a biologic…

No prominent works on this page.

  • Calibrating Agent-Based Models with Linear Regressions

    Open Access•Ernesto Carrella, Richard M Bailey et al.•ARTICLE•Journal of Artificial Societies…•2020

    In this paper, we introduce a simple way to parametrize simulation models by using regularized linear regression. Regressions bypass the three major challenges of calibrating by minimization: selecting the summary statistics, defining the distance function and minimizing it numerically. By substituting regression with classification, we can extend this approach to model selection. We present five example estimations: a statistical fit, a biologic…

  • Genetic Variants of DMBT1 and SFTPD and Disease Severity in Paediatric Inflammatory Bowel Disease—A Polish Population-Based Study

    Open Access•Aleksandra Glapa-Nowak, Mariusz Szczepanik et al.•ARTICLE•Children•2021

    Deleted in malignant brain tumours 1 protein (DMBT1) and surfactant protein D (SFTPD) are antimicrobial peptides previously linked to inflammatory bowel disease (IBD) susceptibility. This study attempts to link the most potential IBD-associated polymorphisms in DMBT1 and SFTPD with the disease severity in children. A total of 406 IBD patients (Crohn's disease (CD) n = 214 and ulcerative colitis (UC) n = 192) were genotyped using hydrolysis probe …

Artificial Intelligence (1 works) · Complex Systems and Time Series Analysis (1 works) · Computer Science (1 works) · Disease (1 works) · Econometrics (1 works) · Environmental health (1 works) · Eosinophilic Esophagitis (1 works) · Financial Risk and Volatility Modeling (1 works) · Gastroenterology (1 works) · Heuristics (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae