Big Data for Healthcare Industry 4.0: Applications, challenges and future perspectives
The innovative technologies emerged with the industrial revolution “Industry 4.0” as well as
the new ones on the way of advanced digitalization enable delivering enhanced, value …
the new ones on the way of advanced digitalization enable delivering enhanced, value …
Towards diagnostic aided systems in coronary artery disease detection: a comprehensive multiview survey of the state of the art
Introduction. Coronary artery disease (CAD) is one of the main causes of death all over the
world. One way to reduce the mortality rate from CAD is to predict its risk and take effective …
world. One way to reduce the mortality rate from CAD is to predict its risk and take effective …
Lung cancer risk prediction with machine learning models
The lungs are the center of breath control and ensure that every cell in the body receives
oxygen. At the same time, they filter the air to prevent the entry of useless substances and …
oxygen. At the same time, they filter the air to prevent the entry of useless substances and …
Machine learning (ML) in medicine: Review, applications, and challenges
AM Rahmani, E Yousefpoor, MS Yousefpoor… - Mathematics, 2021 - mdpi.com
Today, artificial intelligence (AI) and machine learning (ML) have dramatically advanced in
various industries, especially medicine. AI describes computational programs that mimic and …
various industries, especially medicine. AI describes computational programs that mimic and …
[Retracted] Machine Learning‐Based Automated Diagnostic Systems Developed for Heart Failure Prediction Using Different Types of Data Modalities: A Systematic …
A Javeed, SU Khan, L Ali, S Ali… - … Methods in Medicine, 2022 - Wiley Online Library
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 …
Supervised machine learning models for liver disease risk prediction
The liver constitutes the largest gland in the human body and performs many different
functions. It processes what a person eats and drinks and converts food into nutrients that …
functions. It processes what a person eats and drinks and converts food into nutrients that …
Data-driven machine-learning methods for diabetes risk prediction
Diabetes mellitus is a chronic condition characterized by a disturbance in the metabolism of
carbohydrates, fats and proteins. The most characteristic disorder in all forms of diabetes is …
carbohydrates, fats and proteins. The most characteristic disorder in all forms of diabetes is …
[HTML][HTML] Bim-based energy analysis and optimization using insight 360 (case study)
Building information modeling (BIM) is a modern data information platform and management
tool that promotes the development of green buildings. In Pakistan, the building sector …
tool that promotes the development of green buildings. In Pakistan, the building sector …
Effective class-imbalance learning based on SMOTE and convolutional neural networks
Imbalanced Data (ID) is a problem that deters Machine Learning (ML) models from
achieving satisfactory results. ID is the occurrence of a situation where the quantity of the …
achieving satisfactory results. ID is the occurrence of a situation where the quantity of the …
Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991–2020
R Alizadehsani, A Khosravi, M Roshanzamir… - Computers in Biology …, 2021 - Elsevier
While coronary angiography is the gold standard diagnostic tool for coronary artery disease
(CAD), but it is associated with procedural risk, it is an invasive technique requiring arterial …
(CAD), but it is associated with procedural risk, it is an invasive technique requiring arterial …