Skip to content
Systems Biology and Bioinformatics Group

Systems Biology and Bioinformatics Group

Department of Information Engineering – University of Padova

  • Home
  • News
  • People
  • Publications
  • Software
  • Thesis topics
Posted on September 4, 2024July 30, 2024 by Erica Tavazzi

Dei Cas D, Di Camillo B, Fadini GP, Sparacino G and Longato E. Effect of Clinical History on Predictive Model Performance for Renal Complications of Diabetes. In: Proc. 19th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics (CIBB) 2024.

CategoriesConference Papers, publications, publications2024 TagsConference Papers

Post navigation

Previous PostPrevious Poletto S, Longato E, Tavazzi E, Vettoretti M. Comparing Propensity Score-Based Methods in Estimating the Treatment Effect: A Simulation Study. In: Proc. 19th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics (CIBB) 2024.
Next PostNext Trescato I, Tavazzi E, Vettoretti M, Vasta R, Chiò A, Di Camillo B. DYNAMITE: Integrating Archetypal Analysis and Process Mining for Interpretable Disease Progression Modelling. IEEE J Biomed Health Inform 2024.

Follow us

  • twitter
  • gitlab
  • linkedin

Department of Information Engineering

  • linkedin
  • instagram
  • facebook
  • youtube
  • wordpress

Follow us

  • twitter
  • linkedin
  • gitlab

Department of Information Engineering – University of Padova

  • wordpress
  • linkedin
  • instagram
  • facebook
  • youtube

Link

UNIPD
DEI@UNIPD
ISCB
elixir
elixir ITA
BITS
Proudly powered by WordPress

We are using cookies to give you the best experience on our website.

You can find out more about which cookies we are using or switch them off in .

Systems Biology and Bioinformatics Group
Powered by  GDPR Cookie Compliance
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.

Strictly Necessary Cookies

Strictly Necessary Cookie should be enabled at all times so that we can save your preferences for cookie settings.