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Learning disease causality knowledge from the web of health data
Health information becomes importantly valuable for protecting public health in the current
coronavirus situation. Knowledge-based information systems can play a crucial role in …
coronavirus situation. Knowledge-based information systems can play a crucial role in …
[PDF][PDF] A comprehensive study on disease risk predictions in machine learning
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 …
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
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 …
into the opinions of the users that are spread across a wide range of geographical space in …
Automatic illness prediction system through speech
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 …
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
The rapid increase in Internet technology and machine-learning devices has opened up
new avenues for online healthcare systems. Sometimes, getting medical assistance or …
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 …
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 …
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 …
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 …
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 …
technologies for prediction and reasoning. Deep Learning processes build the prediction …