Patient diabetes forecasting based on machine learning approach

AK Shukla - … Computing: Theories and Applications: Proceedings of …, 2020 - Springer
In current scenario, machine learning plays an important role for forecasting diseases. The
patient should passes through number of tests for diseases detection. This paper deals with …

Analysation of big data in smart healthcare

SZD Babu, D Pandey, GT Naidu, S Sumathi… - Artificial Intelligence on …, 2022 - Springer
Large information analytics can improve affected person outcomes, enhance and customise
care, enhance company collaborations with treatment holders and deduction the huge cost …

Predictive analytics for chronic kidney disease using machine learning techniques

A Charleonnan, T Fufaung… - 2016 management …, 2016 - ieeexplore.ieee.org
Predictive analytics for healthcare using machine learning is a challenged task to help
doctors decide the exact treatments for saving lives. In this paper, we present machine …

Approach to heart diseases diagnosis and monitoring through machine learning and iOS mobile application

N Dharmasiri, S Vasanthapriyan - 2018 18th International …, 2018 - ieeexplore.ieee.org
Internet of things and machine learning has empowered smart health applications focused
on healthcare sector, where, heart diseases are rapidly growing issue. Heart diseases are …

Smart heart disease prediction system using Improved K-means and ID3 on big data

TU Mane - … Conference on Data Management, Analytics and …, 2017 - ieeexplore.ieee.org
The term Big Data is becoming global today. The Big data is huge amount of variety of data,
and the data is increasing very rapidly according to the time. So there is need to process that …

Preemptive diagnosis of chronic kidney disease using machine learning techniques

RA Alassaf, KA Alsulaim, NY Alroomi… - … on innovations in …, 2018 - ieeexplore.ieee.org
Chronic Kidney Disease (CKD) is a major public health concern with rising prevalence. In
Saudi Arabia, approximately 2 Billion Riyals are solely allocated for renal replacement …

Implementation of machine learning algorithms to detect the prognosis rate of kidney disease

FMJM Shamrat, P Ghosh, MH Sadek… - … for innovation in …, 2020 - ieeexplore.ieee.org
The chronic kidney disease is the loss of kidney function. Often time, the symptoms of the
disease is not noticeable and a significant amount of lives are lost annually due to the …

Machine learning applied to kidney disease prediction: Comparison study

AKMSA Rabby, R Mamata, MA Laboni… - 2019 10th …, 2019 - ieeexplore.ieee.org
Machine learning has earned a remarkable position in healthcare sector because of its
capability to enhance the disease prediction in healthcare sector. Artificial intelligence and …

[PDF][PDF] Prediction of heart disease using rnn algorithm

NSR Pillai, KK Bee, J Kiruthika - International Research Journal of …, 2019 - academia.edu
An infrastructure builds in the data mining platform which is reliable to challenge the
commercial and non-commercial IT development communities of data streams in high …

Predictionand diagnosis of heart disease patients using data mining technique

SP Shaji - … on communication and signal processing (ICCSP), 2019 - ieeexplore.ieee.org
We are living in a post modern era and there are tremendous changes happening to our
daily routines which make an impact on our health positively and negatively. As a result of …