Analysing the power of deep learning techniques over the traditional methods using medicare utilisation and provider data

VP Gurupur, SA Kulkarni, X Liu, U Desai… - Journal of Experimental …, 2019 - Taylor & Francis
ABSTRACT Deep Learning Technique (DLT) is the sub-branch of Machine Learning (ML)
which assists to learn the data in multiple levels of representation and abstraction and …

Healthcare data analysis using deep learning paradigm

KR Devi, S Suganyadevi, K Balasamy - Deep Learning for Cognitive …, 2023 - degruyter.com
In the present decades, analysis of healthcare domain plays a significant role for research
purposes and it depends more on computer technology. The analysis of medical data is one …

An investigation into the efficacy of deep learning tools for big data analysis in health care

R Priyadarshini, RK Barik, C Panigrahi… - Deep Learning and …, 2020 - igi-global.com
This article describes how machine learning (ML) algorithms are very useful for analysis of
data and finding some meaningful information out of them, which could be used in various …

Recent advancement of machine learning and deep learning in the field of healthcare system

Y Kumar, M Mahajan - Computational intelligence for machine …, 2020 - degruyter.com
The healthcare sector has long been adapted primarily and significantly from scientific
advances. Nowadays, machine learning (ML, a subset of artificial intelligence) plays a vital …

A structured analysis to study the role of machine learning and deep learning in the healthcare sector with big data analytics

J Kumari, E Kumar, D Kumar - Archives of Computational Methods in …, 2023 - Springer
Abstract Machine and deep learning are used worldwide. Machine Learning (ML) and Deep
Learning (DL) are playing an increasingly important role in the healthcare sector, particularly …

Healthcare techniques through deep learning: issues, challenges and opportunities

R Amin, MA Al Ghamdi, SH Almotiri, M Alruily - IEEE Access, 2021 - ieeexplore.ieee.org
In artificial intelligence, deep learning (DL) is a process that replicates the working
mechanism of the human brain in data processing, and it also creates patterns for decision …

Deep learning techniques dealing with diabetes mellitus: a comprehensive study

SK Das, P Roy, AK Mishra - Health informatics: A computational …, 2021 - Springer
Deep learning (DL) is an emerging technology in solving various real-life problems in the
most efficient way. The increasing computational power makes it capable to handle large …

[图书][B] Machine learning and deep learning in medical data analytics and healthcare applications

OP Jena, B Bhushan, U Kose - 2022 - books.google.com
Machine Learning and Deep Learning in Medical Data Analytics and Healthcare
Applications introduces and explores a variety of schemes designed to empower, enhance …

[HTML][HTML] A review on deep learning approaches in healthcare systems: Taxonomies, challenges, and open issues

S Shamshirband, M Fathi, A Dehzangi… - Journal of Biomedical …, 2021 - Elsevier
In the last few years, the application of Machine Learning approaches like Deep Neural
Network (DNN) models have become more attractive in the healthcare system given the …

Machine learning and deep learning: a comparative review

H Alaskar, TS Saba - … of Integrated Intelligence Enable Networks and …, 2021 - Springer
Abstract Machine learning and deep learning are revolutionary fields in the computer
science area and are widely used in business applications. Machine learning is an …