Machine learning techniques for heart disease prediction: a comparative study and analysis
R Katarya, SK Meena - Health and Technology, 2021 - Springer
Nowadays, people are getting caught in their day-to-day lives doing their work and other
things and ignoring their health. Due to this hectic life and ignorance towards their health …
things and ignoring their health. Due to this hectic life and ignorance towards their health …
MicroRNA expression classification for pediatric multiple sclerosis identification
G Casalino, G Castellano, A Consiglio… - Journal of Ambient …, 2023 - Springer
MicroRNAs (miRNAs) are a set of short non-coding RNAs that play significant regulatory
roles in cells. The study of miRNA data produced by Next-Generation Sequencing …
roles in cells. The study of miRNA data produced by Next-Generation Sequencing …
Hyperparameter optimization for cardiovascular disease data-driven prognostic system
J Saputra, C Lawrencya, JM Saini… - Visual Computing for …, 2023 - Springer
Prediction and diagnosis of cardiovascular diseases (CVDs) based, among other things, on
medical examinations and patient symptoms are the biggest challenges in medicine. About …
medical examinations and patient symptoms are the biggest challenges in medicine. About …
[PDF][PDF] Heart disease prediction using data mining techniques
P Shetgaonkar, S Aswale - International Journal of Engineering …, 2021 - academia.edu
The heart is the most crucial & critical organ of the human body. Life is completely
dependent on the efficient working & functioning of our heart. It is one of the major causes of …
dependent on the efficient working & functioning of our heart. It is one of the major causes of …
Evaluation of cognitive impairment in pediatric multiple sclerosis with machine learning: an exploratory study of miRNA expressions
G Casalino, G Vessio… - 2020 IEEE Conference on …, 2020 - ieeexplore.ieee.org
Multiple Sclerosis (MS) is a demyelinating autoimmune disease that usually affects young
adults; however, recently some symptoms of cognitive impairment have been recognized as …
adults; however, recently some symptoms of cognitive impairment have been recognized as …
[PDF][PDF] Survey on Techniques for Diabetic Retinopathy Detection & Classification
S Khandolkar, P Mhalsekar, G Swapnil, P Shetgaonkar… - 2021 - researchgate.net
Diabetes is a very common disease among people who suffer from glucose abnormalities.
Diabetic Retinopathy (DR) is a severe microvascular complication that is found only in …
Diabetic Retinopathy (DR) is a severe microvascular complication that is found only in …
Text-Based Prediction of Heart Disease Doctor Chatbot Using Machine Learning
NH Harlapur, V Handur - ICT with Intelligent Applications: Proceedings of …, 2022 - Springer
Health care is important to live a happy and healthy life. So Chatbots can be helpful in
monitoring current health status before visiting the doctors physically. Doctor Chatbot is a …
monitoring current health status before visiting the doctors physically. Doctor Chatbot is a …
Machine Learning to Predict Cardiovascular Disease: Systematic Meta-Analysis
M Shuja, A Qtaishat, HM Mishra… - 2023 6th International …, 2023 - ieeexplore.ieee.org
People do not have much time to think about their health in today's fast-paced society
because of how busy their lives are. The overscheduling of people's lives and a widespread …
because of how busy their lives are. The overscheduling of people's lives and a widespread …
Performance of Diverse Machine Learning Algorithms for Heart Disease Prognosis
D Kaliraman, G Kamath, S Khoje… - … Intelligence and Data …, 2022 - taylorfrancis.com
Cardiovascular disease (CVD) is the world's biggest cause of mortality. Therefore, it is
paramount that the disease be diagnosed as early as possible to prevent death. Undergoing …
paramount that the disease be diagnosed as early as possible to prevent death. Undergoing …
Predicting the medical data by using different algorithms
HM Mohammed - 2022 - openaccess.altinbas.edu.tr
The healthcare environment produces very large data, so it needs many effective and
important roles in order to extract and analyze data as well as access to knowledge …
important roles in order to extract and analyze data as well as access to knowledge …