A method to identify probable diseases from the unstructured textual input (eg, health forum posts) by incorporating a lexicographic and semantic feature based two-phase text classification module and a symptom-disease correlation-based similarity measurement module. One notable aspect of my approach was to develop a competent algorithm to extract all inherent features from the data source to make a better decision.
@article{arxiv.1905.01987,
title = {Disease Identification From Unstructured User Input},
author = {Fahim Faisal and Shafkat Ahmed Bhuiyan and Abu Raihan Mostofa Kamal},
journal= {arXiv preprint arXiv:1905.01987},
year = {2024}
}
Comments
This was an undergraduate research. The hypotheses it proposes is based on a small number of samples and thus, can not be declared significant. To declare it significant, a large number of sample testing is needed. After that, it can be put through