scholarly journals Applying data mining techniques to determine important parameters in chronic kidney disease and the relations of these parameters to each other

2016 ◽  
Vol 6 (2) ◽  
pp. 83-87 ◽  
Author(s):  
Shahram Tahmasebian ◽  
Marjan Ghazisaeedi ◽  
Mostafa Langarizadeh ◽  
Mehrshad Mokhtaran ◽  
Mitra Mahdavi-Mazdeh ◽  
...  
Keyword(s):  
Data Mining ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Data Mining Techniques

Early Prediction of Chronic Kidney Disease Using Data Mining Techniques

2021 ◽  
pp. 947-957
Author(s):  
Hasin Shahed Shad ◽  
Zeeshan Jamal ◽  
S. M. Foysal Ahmed ◽  
Sifat Momen ◽  
Nafees Mansoor
Keyword(s):  
Data Mining ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Early Prediction ◽  
Data Mining Techniques ◽  
Using Data

Chronic Kidney Disease (CKD) Prediction Using Data Mining Techniques

2021 ◽  
pp. 976-988
Author(s):  
Abhijit Pathak ◽  
Most. Asma Gani ◽  
Abrar Hossain Tasin ◽  
Sanjida Nusrat Sania ◽  
Md. Adil ◽  
...  
Keyword(s):  
Data Mining ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Data Mining Techniques ◽  
Using Data

scholarly journals Early Detection of Cardiovascular Disease in Patients with Chronic Kidney Disease using Data Mining Techniques

2020 ◽  
Vol 6 (3) ◽  
pp. 65-76
Author(s):  
Avijit Kumar Chaudhuri ◽  
Arkadip Ray ◽  
Anirban Das ◽  
Prasun Chakrabarti ◽  
Dilip K. Banerjee
Keyword(s):  
Data Mining ◽  
Cardiovascular Disease ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Early Detection ◽  
Data Mining Techniques ◽  
Using Data

scholarly journals Research of Chronic Kidney Disease based on Data Mining Techniques

2019 ◽  
Vol 8 (2S11) ◽  
pp. 115-120
Keyword(s):  
Data Mining ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Information Mining ◽  
Data Mining Techniques ◽  
Medical Issues ◽  
The World ◽  
Mining Methods ◽  
The Given ◽  
Low Pay

Kidney disease is one of the real general medical issues these days. Ceaseless ailments prompt to horribleness and mortality in India and furthermore in the low pay and center nation. The interminable infections on record is 60% of death all through the around the world. 80% of unending malady passing overall additionally happen in low and center pay nations. In India, most likely the quantity of passing is because of the ceaseless ailment observed to be 5.21 million in 2008 and is by all accounts brought to 7.63 million up in 2020 roughly 66.7%. Information mining is the procedure of extraction is the concealed data from the given expansive dataset. Different information mining strategies, for example, bunching, characterization, affiliation investigation, relapse, outline, time arrangement examination and succession investigation were utilized to anticipate kidney maladies. The strategies that were presented so far had minor downsides in the nature of pre handling or at some other stages. In this paper, the different information mining methods are reviewed to foresee kidney sicknesses and real issues are quickly clarified

scholarly journals Data Mining to Predict Early Stage Chronic Kidney Disease

2020 ◽  
Vol 177 ◽  
pp. 562-567
Author(s):  
Ana Pinto ◽  
Diana Ferreira ◽  
Cristiana Neto ◽  
António Abelha ◽  
José Machado
Keyword(s):  
Data Mining ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Early Stage
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