This module defines how patient related models work and how they interact with each
other. Currently, four models are implemented: The Dataset, Patient, Tumor
and the Diagnose. A Dataset groups Patient entries and associates them with an
Institution, while also providing methods for importing and exporting from and to CSV
file.
A Patient holds demographic and relational information about each recorded patient.
The respective entry can have multiple Tumor and Diagnose entries associated with
it, which is defined by the django.db.models.ForeignKey attribute in the Tumor
and Diagnose class.
There are also custom methods implemented, making sure that e.g. the diagnosis of a sublevel (lets say Ia) is consistent with the diagnosis of the respective superlevel (in that case I).
| Class | |
A collection of patients, usually importet from a CSV file in a GitHub repo. |
| Class | |
Model describing the diagnosis of one side of a patient's neck with regard to their lymphaitc metastatic involvement. |
| Class | |
The representation of a patient in the database. |
| Class | |
Model to describe a patient's tumor in detail. |
| Exception | |
Raised when there is reason to believe that the dataset is corrupted. |
| Exception | |
Raised when a Dataset or an associated entry was tried to be edited. |
| Variable | logger |
Undocumented |
| Variable | |
Undocumented |