Ensemble methods in combination with compartment models for blood glucose level prediction in type 1 diabetes mellitus

K Saiti, M Macaš, L Lhotská, K Štechová… - Computer Methods and …, 2020 - Elsevier
Backgroung: Type 1 diabetes is a disease that adversely affects the daily life of a large
percentage of people worldwide. Daily glucose levels regulation and useful advices …

A new ensemble learning method based on learning automata

M Savargiv, B Masoumi, MR Keyvanpour - Journal of Ambient Intelligence …, 2022 - Springer
Improving the performance of machine learning algorithms has been always the topic of
interest in data mining. The ensemble learning is one of the machine learning methods that …

Analytical review of deep neural techniques for breast tumor detection.

KR Babu, SSB Teja, VS Reddy… - 2023 International …, 2023 - ieeexplore.ieee.org
A tumor is an abnormal mass of tissue that develops when cell growth and division are
accelerated. Cancerous tumors can develop, making them extremely harmful and needing …

Vehicle Lane Detection for Accident Prevention and Smart Autodrive Using OpenCV

M Garg, A Sehrawat… - … Conference on Computer …, 2023 - ieeexplore.ieee.org
Road accidents have been rising alarmingly, and the reason for this increment is because of
drivers being distracted. As a result, several technical advancements have lately been …

The Early Detection of Dementia Disease Using Machine Learning Approach

MS Kabir, J Khanom, MA Bhuiyan… - 2023 International …, 2023 - ieeexplore.ieee.org
Early dementia detection is a crucial but challenging task in Bangladesh. Often, dementia is
not recognized until it is too late to receive effective care. This results in part from a lack of …

Diabetes Prediction using Machine Learning

G Parimala, R Kayalvizhi… - … Conference on Computer …, 2023 - ieeexplore.ieee.org
Diabetes is considered to be one of the worst illnesses in the world. Diabetes is caused by a
combination of variables, including obesity, excessive blood glucose levels, and other …

Classification And Detection Of Skin Cancer Using Deep Learning Methods

CV Sanjana, SS Raju, M Anusha… - … and Informatics (ICCCI), 2023 - ieeexplore.ieee.org
The types of Skin Diseases are almost universal around the world because they are caused
by genetic and environmental factors. Skin cancer has a very high mortality rate but is …

Topluluk Öğrenmesi Yöntemleri ile Göğüs Kanseri Teşhisi.

F Akcan, A Sertbaş - Electronic Turkish Studies, 2021 - search.ebscohost.com
Topluluk Öğrenmesi Yöntemleri ile Göğüs Kanseri Teşhisi* Breast Cancer Diagnosis with
Ensemble Learning Methods Fulya Akc Page 1 Research Article / Araştırma Makalesi Cite as …

Parkinson's disease classification using Machine Learning techniques

K Meenakshi, D Kishore - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Parkinson disease is one of the serious illnesses that causes mortality at advanced stage. It
is estimated that 9.6 million people are affected throughout the world. These statistics dictate …

Comparative Performance Assessment Of Machine Learning Algorithms To Predict Cardiovascular Disease

S Hemalatha, T Kavitha, D Niruba… - 2023 International …, 2023 - ieeexplore.ieee.org
Cardio Vascular Disease (CVD) are a major factor in many deaths across the world. Many
people in their middle or later years suffer from heart conditions, which typically result in …