dennishnf / project-symptoms-disease-network

Analysis of the Symptoms-Disease Network database using communities.

Project Symptoms-Disease Network

Overview

Analysis of the Symptoms-Disease Network database using communities.

Usage

The complete code of this project is in this repository, in the file: symptoms-disease-network.ipynb.

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Approach

The steps developed in this project were as follows:

Dataset

The dataset was extracted from the paper: "Human symptoms–disease network" Link.

More exactly, here we employ the "Supplementary Data 3": Term co-occurrences between symptoms and diseases measured by TF-IDF weighted values. This table includes 147,978 records of symptom and disease relationships.

All Networks: bipartite graph and their projections

Communities of Diseases Network using Louvain

Bipartite graphs of each community by symptoms and diseases

Table of the characterization of each community by symptoms

Predict the disease category based on symptoms

References

• Zhou, X., Menche, J., Barabási, AL. et al. Human symptoms–disease network. Nat Commun 5, 4212 (2014). https://doi.org/10.1038/ncomms5212
• Blondel, V. D., Guillaume, J.-L., Lambiotte, R., & Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment, 2008(10), P10008. doi:10.1088/1742-5468/2008/10/p10008