Side by side comparison of disorders based on comorbidity factors for clinical psychology.
Create from sample file:
from comorbid_graphs import ComorbidGraph
my_graph = ComorbidGraph.from_yaml('big_picture.yaml')
print(my_graph.explore(maxlevel=4))
Results:
Diagnosing Mental Health Issues
├── Frameworks
│ ├── DSM-V
│ │ ├── what
│ │ ├── where
│ │ │ ├── wikipedia
│ │ │ ├── website
│ │ │ └── manual
│ │ ├── who
│ │ │ └── APA
│ │ ├── elements
│ │ │ ├── disorder
│ │ │ ├── symptom
│ │ │ └── diagnostic guideline
│ │ └── mini versions
│ │ ├── Chinese Classification of Mental Disorders
│ │ │ └── wikipedia
│ │ └── Psychodynamic Diagnostic Manual
│ │ └── wikipedia
│ ├── ICD-10
│ │ ├── what
│ │ ├── where
│ │ │ ├── website
│ │ │ ├── manual
│ │ │ └── wikipedia
│ │ ├── who
│ │ │ └── WHO
│ │ └── elements
│ │ └── disorder
│ ├── HiTOP
│ │ ├── what
│ │ ├── where
│ │ │ ├── website
│ │ │ └── manual
│ │ └── elements
│ │ ├── spectra
│ │ ├── subfactor
│ │ ├── syndrome
│ │ ├── maladaptive trait
│ │ ├── symptoms
│ │ └── disorder
│ └── RDoC
│ ├── what
│ ├── where
│ │ ├── website
│ │ └── wikipedia
│ ├── who
│ │ └── nimh
│ └── elements
│ ├── genes
│ ├── molecules
│ ├── cells
│ ├── circuits
│ ├── physiology
│ ├── behaviors
│ ├── self-reports
│ └── paradigms
└── approaches
├── authoritative
├── psychodynamic
├── empirical
└── network
Short story long: Why? What are the elements I am trying to study?
In-depth example: Check in depth the tool in a notebook.
Examples & Resources: Learn how to apply it to your problem through these use-cases.
Report issue: If something doesnt seem right.
Applications: Who is using Comorbid-Graphs?
Readings: Interesting related articles or repositories.
This package can be thought as a thin wrapper to Anytree, with some useful functionalities for use-case of ontologies and text-processing.