A review on the role of machine learning in enabling IoT based healthcare applications

HK Bharadwaj, A Agarwal, V Chamola… - IEEE …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is playing a vital role in the rapid automation of the healthcare
sector. The branch of IoT dedicated towards medical science is at times termed as …

Machine learning applied to diagnosis of human diseases: A systematic review

N Caballé-Cervigón, JL Castillo-Sequera… - Applied Sciences, 2020 - mdpi.com
Human healthcare is one of the most important topics for society. It tries to find the correct
effective and robust disease detection as soon as possible to patients receipt the …

[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 …

A machine learning methodology for diagnosing chronic kidney disease

J Qin, L Chen, Y Liu, C Liu, C Feng, B Chen - IEEE access, 2019 - ieeexplore.ieee.org
Chronic kidney disease (CKD) is a global health problem with high morbidity and mortality
rate, and it induces other diseases. Since there are no obvious symptoms during the early …

Detection and diagnosis of chronic kidney disease using deep learning-based heterogeneous modified artificial neural network

F Ma, T Sun, L Liu, H Jing - Future Generation Computer Systems, 2020 - Elsevier
The prevalence of chronic kidney disease (CKD) increases annually in the present scenario
of research. One of the sources for further therapy is the CKD prediction where the Machine …

Chronic kidney disease prediction using machine learning techniques

DA Debal, TM Sitote - Journal of Big Data, 2022 - Springer
Goal three of the UN's Sustainable Development Goal is good health and well-being where
it clearly emphasized that non-communicable diseases is emerging challenge. One of the …

Explainable prediction of chronic renal disease in the colombian population using neural networks and case-based reasoning

GR Vásquez-Morales, SM Martinez-Monterrubio… - Ieee …, 2019 - ieeexplore.ieee.org
This paper presents a neural network-based classifier to predict whether a person is at risk
of developing chronic kidney disease (CKD). The model is trained with the demographic …

Food grade nanoemulsions: promising delivery systems for functional ingredients

F Islam, F Saeed, M Afzaal, M Hussain, A Ikram… - Journal of Food Science …, 2023 - Springer
Nano-emulsions are receiving great attention in various industries, especially in the food
sector. Peculiar properties of nano-sized droplets and high surface area are most suited for …

Clinically applicable machine learning approaches to identify attributes of chronic kidney disease (CKD) for use in low-cost diagnostic screening

M Rashed-Al-Mahfuz, A Haque, A Azad… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Objective: Chronic kidney disease (CKD) is a major public health concern worldwide. High
costs of late-stage diagnosis and insufficient testing facilities can contribute to high morbidity …

[HTML][HTML] A survey of machine learning in kidney disease diagnosis

J Qezelbash-Chamak, S Badamchizadeh… - Machine Learning with …, 2022 - Elsevier
Applications of Machine learning (ML) in health informatics have gained increasing
attention. The timely diagnosis of kidney disease and the subsequent immediate response …