Extensive review on the role of machine learning for multifactorial genetic disorders prediction

DD Solomon, Sonia, K Kumar, K Kanwar, S Iyer… - … Methods in Engineering, 2024 - Springer
The culture of employing machine learning driven assistance and decision making is
currently adopted by a variety of industries. Artificial intelligence encompasses a wide range …

Machine Learning techniques and Polygenic Risk Score application to prediction genetic diseases

NM Mamani - ADCAIJ: Advances in Distributed Computing and …, 2020 - torrossa.com
For the last 10 years and after important discoveries such as DNA sequence of the entire
human genome, there has been a considerable increase in the interest on researches risk …

A comprehensive analysis of artificial intelligence techniques for the prediction and prognosis of genetic disorders using various gene disorders

N Chaplot, D Pandey, Y Kumar, PS Sisodia - Archives of Computational …, 2023 - Springer
A medical analysis of diagnosing rare genetic diseases has rapidly become the most
expensive and time-consuming component for doctors. By combining predictive methods …

A survey of predictive analytics using big data with data mining

S Poornima, M Pushpalatha - International journal of …, 2018 - inderscienceonline.com
Today, the world is filled with data like Oxygen. The amount of data being harvested and
eaten up is flourishing vigorously in the digital world. The growing exploitation of novel …

Supervised machine learning empowered multifactorial genetic inheritance disorder prediction

TM Ghazal, H Al Hamadi, M Umar Nasir… - Computational …, 2022 - Wiley Online Library
Fatal diseases like cancer, dementia, and diabetes are very dangerous. This leads to fear of
death if these are not diagnosed at early stages. Computer science uses biomedical studies …

[PDF][PDF] A comprehensive study on disease risk predictions in machine learning

G Saranya, A Pravin - International …, 2020 - download.garuda.kemdikbud.go.id
Over recent years, multiple disease risk prediction models have been developed. These
models use various patient characteristics to estimate the probability of outcomes over a …

Supervised Machine Learning‐Based Cardiovascular Disease Analysis and Prediction

MDA Hossen, T Tazin, S Khan, E Alam… - Mathematical …, 2021 - Wiley Online Library
Cardiovascular illness, often commonly known as heart disease, encompasses a variety of
diseases that affect the heart and has been the leading cause of mortality globally in recent …

Heart disease prediction using hybrid machine learning model

M Kavitha, G Gnaneswar, R Dinesh… - 2021 6th …, 2021 - ieeexplore.ieee.org
Heart disease causes a significant mortality rate around the world, and it has become a
health threat for many people. Early prediction of heart disease may save many lives; …

Predicting diabetes mellitus with machine learning techniques

Q Zou, K Qu, Y Luo, D Yin, Y Ju, H Tang - Frontiers in genetics, 2018 - frontiersin.org
Diabetes mellitus is a chronic disease characterized by hyperglycemia. It may cause many
complications. According to the growing morbidity in recent years, in 2040, the world's …

Machine learning based heart disease prediction system

MS Raja, M Anurag, CP Reddy… - … and informatics (ICCCI), 2021 - ieeexplore.ieee.org
Heart attack disease is one of the leading causes of the death worldwide. In today's common
modern life, deaths due to the heart disease had become one of major issues, that roughly …