[HTML][HTML] ECG monitoring systems: Review, architecture, processes, and key challenges
Health monitoring and its related technologies is an attractive research area. The
electrocardiogram (ECG) has always been a popular measurement scheme to assess and …
electrocardiogram (ECG) has always been a popular measurement scheme to assess and …
An overview on state-of-the-art electrocardiogram signal processing methods: Traditional to AI-based approaches
VA Ardeti, VR Kolluru, GT Varghese… - Expert Systems with …, 2023 - Elsevier
Over the last decade, cardiovascular diseases (CVD's) are the leading cause of death
globally. Early prediction of CVD's can help in reducing the complications of high-risk …
globally. Early prediction of CVD's can help in reducing the complications of high-risk …
A survey on the state-of-the-art machine learning models in the context of NLP
KJS inside pages October 2016.indd Page 1 Kuwait J. Sci. 43 (4) pp. 95-113, 2016 A survey on
the state-of-the-art machine learning models in the context of NLP Wahab Khan1,*, Ali Daud2,1 …
the state-of-the-art machine learning models in the context of NLP Wahab Khan1,*, Ali Daud2,1 …
Missing Value Estimation Methods Research for Arrhythmia Classification Using the Modified Kernel Difference‐Weighted KNN Algorithms
F Yang, J Du, J Lang, W Lu, L Liu… - BioMed research …, 2020 - Wiley Online Library
Electrocardiogram (ECG) signal is critical to the classification of cardiac arrhythmia using
some machine learning methods. In practice, the ECG datasets are usually with multiple …
some machine learning methods. In practice, the ECG datasets are usually with multiple …
[HTML][HTML] A decision support system for multi-target disease diagnosis: A bioinformatics approach
Malaria and typhoid fever are revered for their ability to individually or jointly cause high
mortality rate. Both malaria and typhoid fever have similar symptoms and are famous for …
mortality rate. Both malaria and typhoid fever have similar symptoms and are famous for …
Early stage chronic kidney disease diagnosis by applying data mining methods to urinalysis, blood analysis and disease history
SB Akben - Irbm, 2018 - Elsevier
Background Chronic kidney disease (CKD) is a disorder associated with breakdown of
kidney structure and function. CKD can be diagnosed in its early stage only by experienced …
kidney structure and function. CKD can be diagnosed in its early stage only by experienced …
Severe acne skin disease: A fuzzy-based method for diagnosis
Dermis ailments are disorders that hurt or damage the dermis that has an enormous impact
on the everyday life of a person. People's tight schedule has significantly impacted their …
on the everyday life of a person. People's tight schedule has significantly impacted their …
Particle swarm optimization assisted support vector machine based diagnostic system for dengue prediction at the early stage
KD Singh - 2021 3rd International Conference on Advances in …, 2021 - ieeexplore.ieee.org
Nowadays, Surgeons, nurses, radiologists, pharmaceutical specialists, and other health
professionals are increasingly relying on artificial intelligence. Dengue fever is the most …
professionals are increasingly relying on artificial intelligence. Dengue fever is the most …
Particle swarm optimization assisted support vector machine based diagnostic system for lung cancer prediction at the early stage
Cancer is one of the countries' deadliest illnesses and it will cure if diagnosed early. Lung
cancer is the main cause of death in humans, as the signs of lung cancer occur in advanced …
cancer is the main cause of death in humans, as the signs of lung cancer occur in advanced …
The student-self oriented learning model as an effective paradigm for education in knowledge society
VA Fomichov, OS Fomichova - Informatica, 2019 - informatica.si
Proceeding from broadly accepted role of emotional intelligence (EI) in professional and
personal life, the paper suggests a new learning model (LM) called Student-Self Oriented …
personal life, the paper suggests a new learning model (LM) called Student-Self Oriented …