Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches
COVID‐19 is the disease evoked by a new breed of coronavirus called the severe acute
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …
[HTML][HTML] Machine learning in healthcare
H Habehh, S Gohel - Current genomics, 2021 - ncbi.nlm.nih.gov
Abstract Recent advancements in Artificial Intelligence (AI) and Machine Learning (ML)
technology have brought on substantial strides in predicting and identifying health …
technology have brought on substantial strides in predicting and identifying health …
Machine learning for dementia prediction: a systematic review and future research directions
Abstract Nowadays, Artificial Intelligence (AI) and machine learning (ML) have successfully
provided automated solutions to numerous real-world problems. Healthcare is one of the …
provided automated solutions to numerous real-world problems. Healthcare is one of the …
[Retracted] Machine Learning‐Based Automated Diagnostic Systems Developed for Heart Failure Prediction Using Different Types of Data Modalities: A Systematic …
One of the leading causes of deaths around the globe is heart disease. Heart is an organ
that is responsible for the supply of blood to each part of the body. Coronary artery disease …
that is responsible for the supply of blood to each part of the body. Coronary artery disease …
Blockchain-assisted secured data management framework for health information analysis based on Internet of Medical Things
Abstract The Internet of Medical Things (IoMT) is a kind of associated smart-medical device
infrastructure with applications, health services, and systems. These medical devices and …
infrastructure with applications, health services, and systems. These medical devices and …
Feature optimization and identification of ovarian cancer using internet of medical things
Ovarian cancer (OC) is one kind of tumour that impacts women's ovaries and is hard to
diagnose in the initial phase as a primary cause of cancer death. The ovarian cancer …
diagnose in the initial phase as a primary cause of cancer death. The ovarian cancer …
BIFM: Big-data driven intelligent forecasting model for COVID-19
Ever since the pandemic of Coronavirus disease (COVID-19) emerged in Wuhan, China, it
has been recognized as a global threat and several studies have been carried out nationally …
has been recognized as a global threat and several studies have been carried out nationally …
Heart risk failure prediction using a novel feature selection method for feature refinement and neural network for classification
Diagnosis of heart disease is a difficult job, and researchers have designed various
intelligent diagnostic systems for improved heart disease diagnosis. However, low heart …
intelligent diagnostic systems for improved heart disease diagnosis. However, low heart …
A lightweight and anonymous mutual authentication scheme for medical big data in distributed smart healthcare systems
S Das, S Namasudra - IEEE/ACM Transactions on …, 2022 - ieeexplore.ieee.org
The rapid development of Big Data technology supports the advancement of many fields like
industrial automation, smart healthcare, distributed systems, and many more. Big data is …
industrial automation, smart healthcare, distributed systems, and many more. Big data is …
MMDD-Ensemble: A Multimodal Data–Driven Ensemble Approach for Parkinson's Disease Detection
Parkinson's disease (PD) is the second most common neurological disease having no
specific medical test for its diagnosis. In this study, we consider PD detection based on …
specific medical test for its diagnosis. In this study, we consider PD detection based on …