[HTML][HTML] Hesitant and uncertain linguistics based executive decision making using risk and regret aversion: Methods, implementation and analysis

T Seth, PK Muhuri - MethodsX, 2024 - Elsevier
Presence of globally-affecting issues, such as the recent COVID-19 pandemic is a major
factor impacting the operation of services provided by high-stake companies. These factors …

Cognitive Modelling of Bankruptcy Risk: A Comparative Analysis of Machine Learning Models to Predict the Bankruptcy

J Islam, S Saha, M Hasan, A Mahmud… - … Symposium on Digital …, 2024 - ieeexplore.ieee.org
Machine learning models can assess the financial health of companies and predict the
likelihood of them going bankrupt. Early detection gives companies and stakeholders more …

Analysis of Student Graduation Prediction Using Machine Learning Techniques on an Imbalanced Dataset: An Approach to Address Class Imbalance

D Hermanto, DI Ricoida, D Pibriana… - Scientific Journal of …, 2024 - 103.23.102.168
Purpose: Machine learning is a key area of artificial intelligence, applicable in various fields,
including the prediction of timely graduation. One method within machine learning is …

An Ontological Framework for Lung Carcinoma Prognostication via Sophisticated Stacking and Synthetic Minority Oversampling Techniques

MAH Raju, T Imam, J Islam, A Al Rakin… - 2024 IEEE Asia …, 2024 - ieeexplore.ieee.org
Lung cancer remains one of the leading causes of cancer-related mortality worldwide,
predominantly due to its late-stage diagnosis and rapid progression. This study proposes an …

A Comprehensive Framework for Advanced Machine Learning and Deep Learning Models in Cervical Cancer Prediction

A Al Rakin, MN Nayyem, KS Sharif… - 2024 IEEE Asia …, 2024 - ieeexplore.ieee.org
Cervical cancer is a major public health chal-lenge globally and a leading cause of cancer-
related deaths in women. Early detection significantly improves survival rates. In this study …

[PDF][PDF] Recondite Thyroid Pathology Prediction: Hermeneutic Integration of Neural and Machine Learning Architectures

MDSH Sabuj, T Imam, J Islam, S Sultana, MS Uddin… - researchgate.net
Thyroid issues are increasingly prevalent, making early detection crucial for reducing
mortality and complications. Accurate disease progression estimation and understanding …

[PDF][PDF] Epistemological Advancements in Cardiological Forecasting: Machine Learning as a Paradigm for Prognostic Precision

B Uddin, MS Uddin, S Sultana, MDSH Sabuj, FF Neha… - researchgate.net
Cardiovascular disease (CVD) constitutes a heterogeneous ensemble of pathological
conditions impacting the heart and vasculature, encompassing a multitude of disorders …

[PDF][PDF] Analyzing Neuroimaging Epiphenomena: Machine Learning Approaches in Alzheimer's Prognostication

S Sultana, B Uddin, MS Uddin, MDS Uddin, F Karim… - researchgate.net
Alzheimer's Disease (AD) constitutes a progressive neurodegenerative pathology that
undermines cognitive faculties, mnemonic capacity, and the aptitude for executing quotidian …

[PDF][PDF] Deciphering Oncological Recurrence through Hybridized Machine Learning Paradigms in Thyroid Disorders

S Sultana, MDS Uddin, B Uddin, MS Uddin, FF Neha - researchgate.net
Thyroid disorders are manifesting with increasing frequency, rendering early identification
indispensable for mitigating mortality and associated complications. Precise estimation of …

[PDF][PDF] Hierarchical Superiority of Machine Learning Ensembles in Diabetes Risk Apprehension: A Granular Analytical Perspective

J Islam, T Imam, S Sultana, MDSH Sabuj, MS Uddin… - researchgate.net
Diabetes is a prevalent chronic disease that significantly impacts public health, contributing
to increased morbidity and healthcare costs worldwide. Accurate prediction of diabetes risk …