Learning disease causality knowledge from the web of health data

HQ Yu, S Reiff-Marganiec - International Journal on Semantic Web …, 2022 - igi-global.com
Health information becomes importantly valuable for protecting public health in the current
coronavirus situation. Knowledge-based information systems can play a crucial role in …

[PDF][PDF] A comprehensive study on disease risk predictions in machine learning

G Saranya, A Pravin - International Journal of Electrical and …, 2020 - academia.edu
Over recent years, multiple disease risk prediction models have been developed. These
models use various patient characteristics to estimate the probability of outcomes over a …

Multi-class text classification using machine learning models for online drug reviews

S Joshi, E Abdelfattah - 2021 IEEE world AI IoT congress (AIIoT …, 2021 - ieeexplore.ieee.org
The reviews that are present in different forms on the Internet can provide valuable insights
into the opinions of the users that are spread across a wide range of geographical space in …

Dynamic causality knowledge graph generation for supporting the chatbot healthcare system

HQ Yu - Proceedings of the Future Technologies Conference …, 2021 - Springer
With recent viruses across the world affecting millions and millions of people, the self-
healthcare information systems show an important role in helping individuals to understand …

Health causal probability knowledge graph: Another intelligent health knowledge discovery approach

H Yu - Proceedings of the 7th International Conference on …, 2020 - dl.acm.org
Currently, most of the health-data research concentrates on applying Deep Learning
technologies for prediction and reasoning. Deep Learning processes build the prediction …

[PDF][PDF] Performance analysis of machine learning algorithms for Movie Review

AH Quraishi - International Journal of Computer Applications, 2020 - academia.edu
In this paper, we have evaluated the performance of four machine learning algorithms in
terms of sentiment analysis in the IMDB review dataset. Among these algorithms, two are …

Disease prediction from speech using natural language processing and deep learning method

R Kumar, S Pradhan, T Rebaka, J Prakash - Congress on Intelligent …, 2021 - Springer
Disease prediction is an active area of research, which supports to make the best possible
medical care decisions. Moreover, it helps to reduce the overhead work of a doctor and …

Experimental disease prediction research on combining natural language processing and machine learning

HQ Yu - 2019 IEEE 7th International Conference on Computer …, 2019 - ieeexplore.ieee.org
Nowadays Artificial Intelligent (AI) technologies are applied widely in many different areas to
assist knowledge gaining and decision-making tasks. Especially, health information system …

A framework for disease identification from unstructured data using text classification and disease knowledge base

F Faisal, SA Bhuiyan, FB Ashraf… - 2019 5th International …, 2019 - ieeexplore.ieee.org
With the increasing number of internet user, online searching for health advice has gone
through a rapid popularization. In today's world, people tend to search online for health …

[PDF][PDF] Exigency of Natural Language processing to skirmish with COVID-19 pandemic

N Agarwal, K Ratan, MK Ratan - … Journal of Advances in Engineering and …, 2021 - ijaem.net
The COVID-19 pandemic outburst has affected whole world population. It needs urgent
attention because of non-availability of properly tested vaccine and alarmingly fast …