[HTML][HTML] Chronic kidney disease prediction based on machine learning algorithms

MA Islam, MZH Majumder, MA Hussein - Journal of pathology informatics, 2023 - Elsevier
Chronic kidney disease (CKD) is a dangerous ailment that can last a person's entire life and
is caused by either kidney malignancy or decreased kidney functioning. It is feasible to halt …

Detailed review of chronic kidney disease

Y Kakitapalli, J Ampolu, SD Madasu… - Kidney Diseases, 2020 - karger.com
Background: Nephropathy problems in the Udhanam region of Andhra Pradesh in India
have motivated researchers to investigate the various factors related to chronic kidney …

[HTML][HTML] Fuzzy logic-based systems for the diagnosis of chronic kidney disease

G Murugesan, TI Ahmed, J Bhola… - BioMed Research …, 2022 - ncbi.nlm.nih.gov
Kidney failure occurs whenever the kidney stops to operate properly and would be unable to
cleanse or refine the bloodstream as it should. Chronic kidney disease (CKD) is a potentially …

Machine learning for anomaly detection and process phase classification to improve safety and maintenance activities

E Quatrini, F Costantino, G Di Gravio… - Journal of Manufacturing …, 2020 - Elsevier
Anomaly detection is a crucial aspect for both safety and efficiency of modern process
industries. This paper proposes a two-steps methodology for anomaly detection in industrial …

Diet recommendation system based on different machine learners: A review

M Shah, S Degadwala, D Vyas - 2022 Second International …, 2022 - ieeexplore.ieee.org
In today's culture, many people suffer from a range of ailments and illnesses. It's not always
simple to recommend a diet right away. The majority of individuals are frantically trying to …

A comparative analysis of machine learning models: a case study in predicting chronic kidney disease

H Iftikhar, M Khan, Z Khan, F Khan, HM Alshanbari… - Sustainability, 2023 - mdpi.com
In the modern world, chronic kidney disease is one of the most severe diseases that
negatively affects human life. It is becoming a growing problem in both developed and …

[PDF][PDF] Chronic kidney disease prediction using machine learning models

S Revathy, B Bharathi, P Jeyanthi… - International Journal of …, 2019 - researchgate.net
The field of biosciences have advanced to a larger extent and have generated large
amounts of information from Electronic Health Records. This have given rise to the acute …

Performance analysis of support vector machine in diabetes prediction

N Mohan, V Jain - 2020 4th International conference on …, 2020 - ieeexplore.ieee.org
Diabetes is emerging as a predominant disease in the developing countries like India. The
disease is becoming very serious and cause many other problems in the human body. Many …

An efficiency random forest algorithm for classification of patients with kidney dysfunction

N Chumuang, N Meesang, M Ketcham… - … Joint Symposium on …, 2020 - ieeexplore.ieee.org
In this paper, we presented a separate separation and comparison of data of people with
renal impairment. By collecting information on CKD. The data was collected for selection in …

An Intelligent Diagnostic System to Analyze Early‐Stage Chronic Kidney Disease for Clinical Application

NI Md. Ashafuddula, B Islam… - … Intelligence and Soft …, 2023 - Wiley Online Library
Chronic kidney disease (CKD) is a progressive condition characterized by the gradual
deterioration of kidney functions, potentially leading to kidney failure if not promptly …