[HTML][HTML] Deep neural network model for enhancing disease prediction using auto encoder based broad learning

H Byeon, GC Prashant, SA Hannan, FY Alghayadh… - SLAS technology, 2024 - Elsevier
Abstract Bioinformatics and Healthcare Integration Disease prediction models have been
revolutionized by Big Data. These models, which make use of extensive medical data …

A systematic review on Machine learning and Neural Network based models for disease prediction

S Roobini, MS Kavitha… - Journal of Integrated …, 2024 - pubs.thesciencein.org
Over the recent years, conventional artificial intelligence (AI) has witnessed a significant
infusion of machine learning and neural networks, marking a substantial evolution in various …

Disease Prediction: A Case Study for Healthcare Communities Using Machine Learning

M Karthik, SG Anuradha, KSR Kumar… - 2022 IEEE 2nd …, 2022 - ieeexplore.ieee.org
A disease is a condition, that negatively act on the function of all or a part of the organs in the
human producing symptoms that affects internally and are not immediately caused due to …

A survey on deep learning model for improved disease prediction with multi medical data sets

SAH Fazlur, SK Thillaigovindan… - 2022 3rd International …, 2022 - ieeexplore.ieee.org
Human society has great influence and threat from vibrant diseases as they get affected by
different diseases every day. The cardiac disease prediction method predicts the disease …

[PDF][PDF] Application of deep learning in disease prediction

SC Nwaneri, CO Anyaeche - … Research and Innovation, A Book of …, 2020 - researchgate.net
Traditional computers are limited by their inability to reason like humans. With
advancements in the field of Artificial Intelligences (AI), modern computers can be …

Impact of machine and deep learning techniques on diseases classification and prediction: a systematic review

AK Dubey, AK Sinhal, R Sharma - International Journal of …, 2023 - search.proquest.com
A substantial amount of data related to various diseases was collected every year from
different medical universities and hospitals worldwide, which was utilized to assess disease …

Hybrid disease prediction approach leveraging digital twin and metaverse technologies for health consumer

C Kulkarni, A Quraishi, M Raparthi, M Shabaz… - BMC Medical Informatics …, 2024 - Springer
Emerging from the convergence of digital twin technology and the metaverse, consumer
health (MCH) is witnessing a transformative shift. The amalgamation of bioinformatics with …

Predicting disease onset from electronic health records for population health management: a scalable and explainable Deep Learning approach

R Grout, R Gupta, R Bryant, MA Elmahgoub… - Frontiers in Artificial …, 2024 - frontiersin.org
Introduction The move from a reactive model of care which treats conditions when they arise
to a proactive model which intervenes early to prevent adverse healthcare events will benefit …

A scalable and real-time system for disease prediction using big data processing

A Ed-daoudy, K Maalmi, A El Ouaazizi - Multimedia Tools and …, 2023 - Springer
The growing chronic diseases patients and the centralization of medical resources cause
significant economic impact resulting in hospital visits, hospital readmission, and other …

Deep learning for disease prediction in public health

K Ganasegeran - Deep Learning for Biomedical Applications, 2021 - taylorfrancis.com
Modern public health faces substantial challenges toward predicting exponential rise of
communicable and non-communicable diseases (NCDs), unprecedented health crises …