Treatment response prediction in hepatitis C patients using machine learning techniques

AA Kashif, B Bakhtawar, A Akhtar… - International Journal …, 2021 - journals.gaftim.com
The proper prognosis of treatment response is crucial in any medical therapy to reduce the
effects of the disease and of the medication as well. The mortality rate due to hepatitis c virus …

An IoMT based Ensemble Classification Framework to Predict Treatment Response in Hepatitis C Patients

TM Ghazal, S Abbas, M Ahmad… - … Conference on Business …, 2022 - ieeexplore.ieee.org
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 …

[PDF][PDF] A Comparative Analysis of Machine Learning Algorithms to Predict Liver Disease.

M Ghosh, MMS Raihan, M Raihan… - … Automation & Soft …, 2021 - cdn.techscience.cn
The liver is considered an essential organ in the human body. Liver disorders have risen
globally at an unprecedented pace due to unhealthy lifestyles and excessive alcohol …

[PDF][PDF] A comparative study on liver disease prediction using supervised machine learning algorithms

AS Rahman, FMJM Shamrat, Z Tasnim… - International Journal of …, 2019 - academia.edu
Chronic Liver Disease is the leading cause of global death that impacts the massive quantity
of humans around the world. This disease is caused by an assortment of elements that harm …

Prediction of liver disease using classification algorithms

AS Singh, M Irfan, A Chowdhury - 2018 4th international …, 2018 - ieeexplore.ieee.org
The industry that are providing healthcare is producing a large amount of data. We know that
Machine Learning algorithms can also be used to find hidden information for diagnosis and …

Liver disease prediction using machine learning classification techniques

K Gupta, N Jiwani, N Afreen… - 2022 IEEE 11th …, 2022 - ieeexplore.ieee.org
Machine Learning is a process which is used to discover patterns in huge data/large data
set to enable decision, thereby allowing machines to go through a learning process (ie …

[HTML][HTML] Artificial intelligence-based ensemble learning model for prediction of hepatitis C disease

MO Edeh, S Dalal, IB Dhaou, CC Agubosim… - Frontiers in Public …, 2022 - frontiersin.org
Machine learning algorithms are excellent techniques to develop prediction models to
enhance response and efficiency in the health sector. It is the greatest approach to avoid the …

[PDF][PDF] Predicting liver patients using artificial neural network

MM Musleh, E Alajrami, AJ Khalil… - … Journal of Academic …, 2019 - researchgate.net
Liver diagnosis at an early stage is essential for enhanced handling. Precise classification is
required for automatic recognition of disease from data samples (utilizing data mining for …

Detection of liver disease using machine learning approach

PR Kshirsagar, DH Reddy, M Dhingra… - … and Informatics (IC3I …, 2022 - ieeexplore.ieee.org
For more effective therapy, it's critical to get an early diagnosis of liver illness. Due to the
disease's modest symptoms, it is a very difficult challenge for medical experts to forecast the …

[HTML][HTML] Hepatitis C Virus prediction based on machine learning framework: a real-world case study in Egypt

H Mamdouh Farghaly, MY Shams… - … and Information Systems, 2023 - Springer
Prediction and classification of diseases are essential in medical science, as it attempts to
immune the spread of the disease and discover the infected regions from the early stages …