[HTML][HTML] Disease: a biomedical text analytics system for disease symptom extraction and characterization

M Abulaish, MA Parwez - Journal of Biomedical Informatics, 2019 - Elsevier
Due to increasing volume and unstructured nature of the scientific literatures in biomedical
domain, most of the information embedded within them remain untapped. This paper …

RDF Model Generation for Unstructured Dengue Patients' Clinical and Pathological Data

R Devi, D Mehrotra, H Baazaoui-Zghal - International Journal of …, 2019 - igi-global.com
The automatic extraction of triplets from unstructured patient records and transforming them
into resource description framework (RDF) models has remained a huge challenge so far …

Biomedical text analytics for characterizing climate-sensitive disease

MA Parwez, M Abulaish - Procedia computer science, 2018 - Elsevier
Large-scale influx of scientific literatures in the biomedical domain, enriched with various
biomedical entities like genes, proteins, drugs, diseases, symptoms, microbes, pathogens …

Constituent vs Dependency Parsing-Based RDF Model Generation from Dengue Patients' Case Sheets

R Devi, D Mehrotra, SBAB Lamine… - Journal of Information & …, 2022 - World Scientific
Electronic Health Record (EHR) systems in healthcare organisations are primarily
maintained in isolation from each other that makes interoperability of unstructured (text) data …

[PDF][PDF] Markov logic for statistical relation extraction

MDS Seneviratne, KSD Fernando, DD Karunaratne - 2020 - pdfs.semanticscholar.org
In today's world, the Internet has become a fast and efficient information provider, although
the relevancy or accuracy of the information found is not guaranteed. The web itself presents …