Disease diagnosis and recommended remedy

Citation Author(s):
Sudhanshu
Sudhanshu
Indian Institute of Information Technology Allahabad
Narinder Singh
Punn
Indian Institute of Information Technology Allahabad
Sanjay Kumar
Sonbhadra
Indian Institute of Information Technology Allahabad
Sonali
Agarwal
Indian Institute of Information Technology Allahabad
Submitted by:
Narinder Singh Punn
Last updated:
Mon, 07/19/2021 - 04:56
DOI:
10.21227/gzx6-sz65
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Abstract 

With the motivation of no good data sources available for all diseases (from generic to chronic) and their treatment courses, a new dataset is synthesized by exploring several medical websites and resources. It provides the precaution list corresponding to over 1000+ diaganosis. prec\_t.csv : (did, diagnose, pid) = (Disease identifier, Disease name, treatment course). This dataset can be utilized for many machine learning or deep learning based healthcare applications. One such application is developing the recommender systems to recommend the most suitable treatment plan for a given disease.

Instructions: 

This dataset is easy-to-use and can be analyzed or explored with the help of csv management libraries.

If you find this useful please cite our work as follows:

https://arxiv.org/abs/2107.07500

Sudhanshu, Narinder Singh Punn, Sanjay Kumar Sonbhadra and Sonali Agarwal. "Recommending best course of treatment based on similarities of prognostic markers." arXiv preprint arXiv:2107.07500 (2021).