Artificial intelligence (AI) and internet of medical things (IoMT) assisted biomedical systems for intelligent healthcare
Artificial intelligence (AI) is a modern approach based on computer science that develops
programs and algorithms to make devices intelligent and efficient for performing tasks that …
programs and algorithms to make devices intelligent and efficient for performing tasks that …
Artificial Intelligence of Internet of Medical Things (AIoMT) in smart cities: a review of cybersecurity for smart healthcare
As the convergence of AI and the Internet of Medical Things (IoMT) continues to gain
momentum, the Artificial Intelligence of Internet of Medical Things (AIoMT) paradigm has …
momentum, the Artificial Intelligence of Internet of Medical Things (AIoMT) paradigm has …
Breast cancer disease classification using fuzzy-ID3 algorithm with FUZZYDBD method: automatic fuzzy database definition
Breast cancer becomes the second major cause of death among women cancer patients
worldwide. Based on research conducted in 2019, there are approximately 250,000 women …
worldwide. Based on research conducted in 2019, there are approximately 250,000 women …
[HTML][HTML] Measuring vulnerability to multidimensional poverty with Bayesian network classifiers
M Gallardo - Economic Analysis and Policy, 2022 - Elsevier
Bayesian network methods have recently gained great popularity in machine learning
literature and applications to model uncertainty in complex phenomena that include …
literature and applications to model uncertainty in complex phenomena that include …
Application of 18F-fluorodeoxyglucose PET/CT radiomic features and machine learning to predict early recurrence of non-small cell lung cancer after curative-intent …
SB Park, KU Kim, YW Park, JH Hwang… - Nuclear Medicine …, 2023 - journals.lww.com
Nuclear Medicine Communications Log in or Register Subscribe to journalSubscribe Get new
issue alertsGet alerts Secondary Logo Journal Logo Advanced Search Toggle navigation …
issue alertsGet alerts Secondary Logo Journal Logo Advanced Search Toggle navigation …
Enhancing diagnostic accuracy in symptom-based health checkers: a comprehensive machine learning approach with clinical vignettes and benchmarking
L Aissaoui Ferhi, M Ben Amar, F Choubani… - Frontiers in Artificial …, 2024 - frontiersin.org
Introduction The development of machine learning models for symptom-based health
checkers is a rapidly evolving area with significant implications for healthcare. Accurate and …
checkers is a rapidly evolving area with significant implications for healthcare. Accurate and …
Convergence of various computer-aided systems for breast tumor diagnosis: a comparative insight
SK Singh, KS Patnaik - Multimedia Tools and Applications, 2024 - Springer
Breast Cancer, with an expected 42,780 deaths in the US alone in 2024, is one of the most
prevalent types of cancer. The death toll due to breast cancer would be very high if it were to …
prevalent types of cancer. The death toll due to breast cancer would be very high if it were to …
Predictive Analytics in Medical Diagnosis
V Upadhyaya - Intelligent Data Analytics for Bioinformatics and …, 2024 - Wiley Online Library
Medical diagnosis using predictive analytics is a paradigm adjustment in medical care. This
chapter analyzes predictive analytics in clinical diagnosis and its effects on clients, medical …
chapter analyzes predictive analytics in clinical diagnosis and its effects on clients, medical …
ACME: A Classification Model for Explaining the Risk of Preeclampsia Based on Bayesian Network Classifiers and a Non-Redundant Feature Selection Approach
F Parrales-Bravo, R Caicedo-Quiroz… - Informatics, 2024 - mdpi.com
While preeclampsia is the leading cause of maternal death in Guayas province (Ecuador),
its causes have not yet been studied in depth. The objective of this research is to build a …
its causes have not yet been studied in depth. The objective of this research is to build a …
Security and Privacy in Machine Learning for IoHT and IoMT: A Review
R Priyadarshi, M Gheisari - 2024 - preprints.org
The emergence of Internet of Things (IoT) devices is revolutionizing healthcare. This
dynamic healthcare environment relies on Internet of Healthcare Things (IoHT) and Internet …
dynamic healthcare environment relies on Internet of Healthcare Things (IoHT) and Internet …