Electronic Health Record (EHR) phenotypes & genotypes extraction
Introduction
Wang Zhiming and I developed this text-mining website to help the NTU Medical Genie AI team to get the genotypes information. There are two main steps. In the first step, we used MetaMap and Clinphen to extract phenotype information from electronic health record (EHR); in the second step, we used Phenolyzer and Variant Prioritizer to convert selected phenotypes to genotype information. The website was developed by Python Django framework.
We cooperated with Doctor Wuh-Liang Hwu who evalutated the extracted results to help us improve the phenotypes and genotypes selection accuracy.
Demo video
The video below shows the basic functions of this website. We input the EHR inside the text box and press the search button. The web server will run MetaMap and do natural-language processing (NLP) to extract phenotype infromation from the EHR. Six categories of phenotypes will be highlighted in different colors.