Systematic review of nutritional recommendation systems
I Orue-Saiz, M Kazarez, A Mendez-Zorrilla - Applied Sciences, 2021 - mdpi.com
In recent years, the promotion of healthy habits, and especially diet-oriented habits, has
been one of the priority interests of our society. There are many apps created to count …
been one of the priority interests of our society. There are many apps created to count …
Machine learning techniques in healthcare informatics: Showcasing prediction of type 2 diabetes mellitus disease using lifestyle data
Abstract Machine learning (ML) is an emerging area of research in the healthcare industry.
The healthcare data are being generated from multiple sources along with different formats …
The healthcare data are being generated from multiple sources along with different formats …
A neural network based model for predicting chronic kidney diseases
C Suresh, BC Pani, C Swatisri, R Priya… - … on inventive research …, 2020 - ieeexplore.ieee.org
Chronic kidney infection is a huge and rising problem among developing populations. It is
one of the critical known health concerns with rising demand for early detection for …
one of the critical known health concerns with rising demand for early detection for …
Meal Suggestions for Caregivers and Indecisive Individuals Without a Set Food Plan
CAS Cunha, TR Cardoso, RP Duarte - International Conference on Smart …, 2023 - Springer
Recommendation systems have played a crucial role in assisting users with decision-
making across various domains. In nutrition, these systems can provide valuable assistance …
making across various domains. In nutrition, these systems can provide valuable assistance …
Chronic Diseases System Based on Machine Learning Techniques
SA EL_Rahman, RA AlRashed, DN AlZunaytan… - International Journal of …, 2020 - ijods.org
This paper aims to improve the quality of the patient's life and provide them with the lifestyle
they need. And we have the intention to obtain this by creating a mobile application that …
they need. And we have the intention to obtain this by creating a mobile application that …
Improving Chronic Kidney Disease Prediction Using ANN with Normalization
Chronic kidney disease (CKD) is one of the most critical diseases in today's day and age,
and its accurate and thorough diagnosis is the need of the hour. This work aims to …
and its accurate and thorough diagnosis is the need of the hour. This work aims to …
RDED: Recommendation of Diet and Exercise for Diabetes Patients using Restricted Boltzmann Machine
Abstract As per World Health Organization, noncommunicable diseases such as untimely
birth, heart attacks, diabetes, and cancers are on the upswing. Diet intake that is insufficient …
birth, heart attacks, diabetes, and cancers are on the upswing. Diet intake that is insufficient …
Food Optimizing for Patients with Kidney Failure Using Evolution Strategies Algorithm
AN Sihananto, MAF Aryanda… - 2023 IEEE 9th …, 2023 - ieeexplore.ieee.org
Kidney disease is a global health concern, affecting 1 in 10 people and causing 5–10 million
deaths annually. It can be diagnosed through GFR and albuminuria, with increased …
deaths annually. It can be diagnosed through GFR and albuminuria, with increased …
Diabetes Health Care Routine Using Machine Learning
IJ Eva, SJ Anika, MA Mitu… - 2022 First International …, 2022 - ieeexplore.ieee.org
Day by day machine learning is getting its prominence. Recommending something using
machine learning is a popular area for enthusiastic researchers. The recommendation …
machine learning is a popular area for enthusiastic researchers. The recommendation …
Prediction of PCOS Using Machine Learning and Deep Learning Algorithms
SM Farhan, MM Hoque, MN Uddin - Applied Intelligence for …, 2023 - taylorfrancis.com
In recent times, the whole population is facing severe medical conditions where majority are
especially women. Infertility, abortions, anovulation etc. are some common medical issues …
especially women. Infertility, abortions, anovulation etc. are some common medical issues …