Brain tumor detection with integrating traditional and computational intelligence approaches across diverse imaging modalities-Challenges and future directions

A Batool, YC Byun - Computers in Biology and Medicine, 2024 - Elsevier
Brain tumor segmentation and classification play a crucial role in the diagnosis and
treatment planning of brain tumors. Accurate and efficient methods for identifying tumor …

[PDF][PDF] Effective predictive modelling for coronary artery diseases using support vector machine

KS Nugroho, AY Sukmadewa, A Vidianto… - … International Journal of …, 2022 - academia.edu
Coronary artery disease (CAD) is a category of cardiovascular disease that causes the
highest mortality rate in the world. CAD occurs due to plaque build-up on the walls of the …

A novel discrete learning-based intelligent methodology for breast cancer classification purposes

M Khashei, N Bakhtiarvand - Artificial Intelligence in Medicine, 2023 - Elsevier
Classification is one of the most significant subfields of data mining that has been
successfully applied to various applications. The literature has expended substantial effort to …

[HTML][HTML] A Novel Blunge Calibration Intelligent Feature Classification Model for the Prediction of Hypothyroid Disease

MS Devi, VD Kumar, A Brezulianu, O Geman, M Arif - Sensors, 2023 - mdpi.com
According to the Indian health line report, 12% of the population suffer from abnormal thyroid
functioning. The major challenge in this disease is that the existence of hypothyroid may not …

Access control and classifier-based blockchain technology in e-healthcare applications

A Maseleno, W Hashim, E Perumal, M Ilayaraja… - Intelligent data security …, 2020 - Elsevier
E-healthcare promises to be the next big wave in the healthcare industry, which makes
security the most essential component in this framework. Security in sensor network …

[HTML][HTML] Spammer detection using multi-classifier information fusion based on evidential reasoning rule

S Liu, X Li, C Hu, J Yao, X Han, J Wang - Scientific Reports, 2022 - nature.com
Spammer detection is essentially a process of judging the authenticity of users, and thus can
be regarded as a classification problem. In order to improve the classification performance …

[PDF][PDF] A multi-stage approach combining feature selection with machine learning techniques for higher prediction reliability and accuracy in cervical cancer diagnosis

AK Chaudhuri, A Ray, DK Banerjee… - International Journal of …, 2021 - academia.edu
Cervical cancer is the fourth most prevalent cancer in women which has claimed 3, 41,831
lives and accounted for 6, 04,127 new cases in 2020 worldwide. To reduce such a vast …

[HTML][HTML] Intelligent risk assessment of ecological agriculture projects from a vision of low carbon

Y Chang, Y Liang - Sustainability, 2023 - mdpi.com
Ecological agriculture projects have achieved a growing development in the context of low
carbon. However, because of the great difference in these issues from traditional types …

Implementasi Algoritma Random Forest Untuk Menentukan Penerima Bantuan Raskin

I Kurniawan, DCP Buani, A Abdussomad… - … Informasi Dan Ilmu …, 2023 - jtiik.ub.ac.id
Kemiskinan adalah salah satu perhatian mendasar dari setiap pemerintah. Program Beras
Keluarga Miskin (Raskin) merupakan salah satu program pemerintah. Skema raskin …

[HTML][HTML] Extended morphological profiles analysis of airborne hyperspectral image classification using machine learning algorithms

R Anand, S Veni, P Geetha… - International Journal of …, 2021 - Elsevier
When morphological capabilities are used for the class of high decision hyperspectral
photographs from metropolitan areas, one must not forget two crucial problems. Among …