1 research outputs found
Disease Identification From Unstructured User Input
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.Comment: 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 throug