Comorbid-Graphs

Side by side comparison of disorders based on comorbidity factors for clinical psychology.

1. create hierarchies of sources of information
2. extract valuable elements from text
3. visualize dependencies

Simple Example

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

Additional Resources

• 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.
  • Ontologies on Psychology showing different tools to be used when analysing psychological text.
  • DSM-V Exploration extraction from book, and analysis of usage of terms.
  • Forensic Neuroscience extraction of cases, and analysis of terms used.
  • Wikipedia Articles extract and analyse the well-known source of data.

• Report issue: If something doesnt seem right.
• Applications: Who is using Comorbid-Graphs?
• Readings: Interesting related articles or repositories.

References

This package can be thought as a thin wrapper to Anytree, with some useful functionalities for use-case of ontologies and text-processing.

• Applications using this tool
  • Garden-of-Graphs - latest version usage
  • DiseasePainter - first version usage
• Libraries I am using
  • Pandas - for bulk analysis
  • Spacy - future usage
• Similar packages
  • KGlab - docs, code
  • OntoBio's OntolFactory - docs, sample notebook on wikidata - interesting
  • Ontospy - visualize ontologies - code
  • PyTextRank - ppt, code