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 …

Automatic illness prediction system through speech

HA Abdulmohsin, B Al-Khateeb, SS Hasan… - Computers and …, 2022 - Elsevier
Due to the COVID-19 epidemic and the curfew caused by it, many people have sought to
find an ADPS on the internet in the last few years. This hints to a new age of medical …

Machine learning for online automatic prediction of common disease attributes using never-ending image learner

E Rajesh, S Basheer, RK Dhanaraj, S Yadav, S Kadry… - Diagnostics, 2022 - mdpi.com
The rapid increase in Internet technology and machine-learning devices has opened up
new avenues for online healthcare systems. Sometimes, getting medical assistance or …

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 hel** individuals to understand …

Automatic health speech prediction system using support vector machine

HA Abdulmohsin - Proceedings of International Conference on Computing …, 2022 - Springer
In the past couple of years, seeking for automatic disease prediction system (ADPS) on the
Internet has been attempted by many users online especially after COVID-19 pandemic …

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 …

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 …