Big data and machine learning driven bioprocessing–recent trends and critical analysis
Given the potential of machine learning algorithms in revolutionizing the bioengineering
field, this paper examined and summarized the literature related to artificial intelligence (AI) …
field, this paper examined and summarized the literature related to artificial intelligence (AI) …
[HTML][HTML] Chronic kidney disease prediction based on machine learning algorithms
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 …
is caused by either kidney malignancy or decreased kidney functioning. It is feasible to halt …
Identification and prediction of chronic diseases using machine learning approach
R Alanazi - Journal of Healthcare Engineering, 2022 - Wiley Online Library
Nowadays, humans face various diseases due to the current environmental condition and
their living habits. The identification and prediction of such diseases at their earlier stages …
their living habits. The identification and prediction of such diseases at their earlier stages …
Research issues and future research directions toward smart healthcare using internet of things and machine learning
Machine Learning (ML) and Internet of Things (IoT) are two of the highly discussed and
extensively used research areas in the current world. In highly essential and sensitive …
extensively used research areas in the current world. In highly essential and sensitive …
[Retracted] Early Detection and Diagnosis of Chronic Kidney Disease Based on Selected Predominant Features
Z Ullah, M Jamjoom - Journal of healthcare engineering, 2023 - Wiley Online Library
In numerous perilous cases, a quick medical decision is needed for the early detection of
chronic diseases to avoid austere consequences that may be fatal. Chronic kidney disease …
chronic diseases to avoid austere consequences that may be fatal. Chronic kidney disease …
Prediction of pesticides and fertilizers using machine learning and Internet of Things
L Kanuru, AK Tyagi, SU Aswathy… - 2021 International …, 2021 - ieeexplore.ieee.org
According to the Agricultural Census of India, 64.5% of the population is affiliated to
agriculture and yields around 16-17% of the country's GDP. Agriculture is the backbone of …
agriculture and yields around 16-17% of the country's GDP. Agriculture is the backbone of …
Traffic prediction using machine learning
HR Deekshetha, AV Shreyas Madhav… - … Computing and Mobile …, 2022 - Springer
The paper deals with traffic prediction that can be done in intelligent transportation systems
which involve the prediction between the previous year's dataset and the recent year's data …
which involve the prediction between the previous year's dataset and the recent year's data …
Security optimization of resource-constrained internet of healthcare things (IOHT) devices using asymmetric cryptography for blockchain network
V Jayaprakash, AK Tyagi - International Conference on Network Security …, 2021 - Springer
Abstract The term “Internet of Things” is becoming increasingly popular and promising,
ushering in a new era of smarter connectivity across billions of gadgets. In the foreseeable …
ushering in a new era of smarter connectivity across billions of gadgets. In the foreseeable …
Deep-kidney: an effective deep learning framework for chronic kidney disease prediction
Chronic kidney disease (CKD) is one of today's most serious illnesses. Because this disease
usually does not manifest itself until the kidney is severely damaged, early detection saves …
usually does not manifest itself until the kidney is severely damaged, early detection saves …
Class imbalanced data: Open issues and future research directions
Since last two decades, imbalanced data is becoming a hot topic to do research or to
determine meaningful results. One of the problems of machine learning and data mining …
determine meaningful results. One of the problems of machine learning and data mining …