An IoMT based ensemble classification framework to predict treatment response in hepatitis C patients
Hepatitis C is considered a deadly disease as mortality rate in the patients suffering from this
disease is very high, if not properly treated. This research proposes an IOMT based …
disease is very high, if not properly treated. This research proposes an IOMT based …
A survey of data element perspective: Application of artificial intelligence in health big data
H Xiong, H Chen, L Xu, H Liu, L Fan, Q Tang… - Frontiers in …, 2022 - frontiersin.org
Artificial intelligence (AI) based on the perspective of data elements is widely used in the
healthcare informatics domain. Large amounts of clinical data from electronic medical …
healthcare informatics domain. Large amounts of clinical data from electronic medical …
A framework for prediction of response to HCV therapy using different data mining techniques
EMF El Houby - Advances in bioinformatics, 2014 - Wiley Online Library
Hepatitis C which is a widely spread disease all over the world is a fatal liver disease
caused by Hepatitis C Virus (HCV). The only approved therapy is interferon plus ribavirin …
caused by Hepatitis C Virus (HCV). The only approved therapy is interferon plus ribavirin …
Hybrid rough genetic algorithm model for making treatment decisions of hepatitis C
Hepatitis C virus is a massive health issue affecting significant portions of the world's
population. Applying data pre-processing, feature reduction techniques and generating …
population. Applying data pre-processing, feature reduction techniques and generating …
RETRACTED ARTICLE: Analyzing genetic diseases using multimedia processing techniques associative decision tree-based learning and Hopfield dynamic neural …
M Al-Maitah - Neural Computing and Applications, 2020 - Springer
Genetic diseases are the most common next-generation diseases because of the improper
mutation of the genes and DNA. These genetic diseases are failed to predict with an …
mutation of the genes and DNA. These genetic diseases are failed to predict with an …
[PDF][PDF] Analysis of associative classification for prediction of HCV response to treatment
EMF El Houby - International Journal of Computer Applications, 2013 - researchgate.net
The objective of this research is the analysis of predicting the response for treatment in
patient with hepatitis C virus. The Interferon Alfa (IFN) in combination with ribavirin (RBV) is …
patient with hepatitis C virus. The Interferon Alfa (IFN) in combination with ribavirin (RBV) is …
Rough based granular computing approach for making treatment decisions of hepatitis C
Hepatitis C virus is a massive health issue affecting significant portions of the world's
population. Applying data pre-processing, feature reduction techniques and generating …
population. Applying data pre-processing, feature reduction techniques and generating …
Rough—Granular neural network model for making treatment decisions of Hepatitis C
Hepatitis C virus is a massive health issue affecting significant portions of the world's
population. Applying data preprocessing, feature reduction techniques, and generating rules …
population. Applying data preprocessing, feature reduction techniques, and generating rules …
[PDF][PDF] Using associative classification for treatment response prediction
EMF El Houby, MS Hassan - Journal of Applied Sciences …, 2012 - researchgate.net
Extraction of important biological information from experimental datasets is a key role of
bioinformatics. One of the challenges is to predict treatment response in patients with …
bioinformatics. One of the challenges is to predict treatment response in patients with …
[引用][C] Comparison between associative classification and decision tree for HCV treatment response prediction
EMF El Houby, MS Hassan - International Journal of Biomedical and Biological …, 2013