Models
This Shiny-App implements the calculation of several CAP (Community-Aquired-Pneumonia) severity scores for one or multiple patients based on user-updated data.
Creators: Markus Scholz, Maciej Rosolowski, Carl Beuchel
Submitter: Carl Beuchel
Model type: Algebraic equations
Model format: R package
Environment: Shiny
Motivation: The eClaus model can be used to calculate mutation risks for BRCA1/2 as well as life-time risks for breast cancer in women from families with multiple and/or early onset cases of breast and ovarian cancer. The model can be used to assist genetic counselors in clinical decision making regarding genetic testing, intensified surveillance, and prophylatic surgery.
Description: The Claus model is a genetic breast cancer risk calculation model assuming a single rare, highly penetrant gene. ...
Creators: Christoph Engel, Silke Zachariae, Claus, E.B. et al. (1991 and 1994)
Submitter: Silke Zachariae
Model type: Not specified
Model format: R package
Environment: Shiny
Core Ontology of Phenotypes. Contribute to Onto-Med/COP development by creating an account on GitHub.
Creators: Heinrich Herre, Alexandr Uciteli, Christoph Beger
Submitter: Christoph Beger
Model type: Not specified
Model format: Not specified
Environment: Not specified
Age-stratified numbers of COVID-19 testpositives and deaths
This work was done as part of the NFDI4Health Task Force COVID-19 (nfdi4health.de). We gratefully acknowledge the financial support of the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project Number 451265285.
Creators: Holger Kirsten, René Hänsel
Submitter: René Hänsel
Model type: Graphical model
Model format: R package
Environment: Shiny
The Covid‐19 viewer provides an intuitive tool to monitor the development of the pandemic in 188 countries using simple plots. The tool is interactive and enables the user to select different plots for single countries, groups or all of them. It visualizes descriptive features such as slopes or flattening behaviour of epidemic numbers and of their increments to allow a qualitative justification of the current state of the pandemic, e.g. whether it is growing exponentially, stopped due to counter ...
Creators: Hans Binder, Henry Löffler-Wirth
Submitter: Henry Löffler-Wirth
Model type: Not specified
Model format: R package
Environment: Shiny