Predictive modeling for breast cancer classification in the context of Bangladeshi patients by use of machine learning approach with explainable AI
Breast cancer has rapidly increased in prevalence in recent years, making it one of the
leading causes of mortality worldwide. Among all cancers, it is by far the most common …
leading causes of mortality worldwide. Among all cancers, it is by far the most common …
[HTML][HTML] Optimizing brain tumor classification through feature selection and hyperparameter tuning in machine learning models
Accurately classifying brain tumors using images is extremely important for prognosis and
treatment planning. In this study, we have developed an optimized approach using machine …
treatment planning. In this study, we have developed an optimized approach using machine …
Machine Learning-Based Box Models for Pregnancy Care and Maternal Mortality Reduction: A Literature Survey
IN Margret, K Rajakumar, KV Arulalan… - IEEE …, 2024 - ieeexplore.ieee.org
Maternal mortality is a major public health concern worldwide. It is the number of
preventable deaths that occur each year due to pregnancy and childbirth. The research …
preventable deaths that occur each year due to pregnancy and childbirth. The research …
Predictive Modeling for Breast Cancer Classification in the Context of Bangladeshi Patients: A Supervised Machine Learning Approach with Explainable AI
Breast cancer has rapidly increased in prevalence in recent years, making it one of the
leading causes of mortality worldwide. Among all cancers, it is by far the most common …
leading causes of mortality worldwide. Among all cancers, it is by far the most common …
Risk Level Prediction for Maternal Health Using Machine Learning Algorithms
Machine learning (ML) is a subset of artificial intelligence (AI) that is booming nowadays. It
has the ability to learn from various data available and make predictions about future events …
has the ability to learn from various data available and make predictions about future events …
A Meta-Analysis of Machine Learning Models in Pregnancy Care and Applications
IN Margret, K Rajakumar - 2024 10th International Conference …, 2024 - ieeexplore.ieee.org
Examining the efficacy of machine learning-based box models in pregnancy care, this meta-
analysis delves into diverse models—white, grey, and black box variants—to predict …
analysis delves into diverse models—white, grey, and black box variants—to predict …
Enhancing Bangla Fake News Detection Using Bidirectional Gated Recurrent Units and Deep Learning Techniques
The rise of fake news has made the need for effective detection methods, including in
languages other than English, increasingly important. The study aims to address the …
languages other than English, increasingly important. The study aims to address the …
Machine Learning Approach Analysis for Early-Stage Liver Disease Prediction in the Context of Bangladesh and India
Liver disease can cause death in millions of individuals worldwide. Early detection and
accurate diagnosis improve patient outcomes and reduce mortality. Machine learning …
accurate diagnosis improve patient outcomes and reduce mortality. Machine learning …
Prognosis the Risk of Early-Stage Diabetes Using Machine Learning Techniques
Diabetes is a prevalent health issue on a global scale, with an exceptionally high incidence
rate observed in Bangladesh. The condition is characterized by persistent hyperglycemia …
rate observed in Bangladesh. The condition is characterized by persistent hyperglycemia …
Disaster Related Tweets Analysis with Machine Learning Approaches
T Islam, M Islam, R Rudra, IH Pranto… - 2023 2nd …, 2023 - ieeexplore.ieee.org
It's no secret that the microblogging service Twitter (X) has quickly risen to prominence as
one of the most reliable places to get the latest updates on breaking events. Tweets, Twitter's …
one of the most reliable places to get the latest updates on breaking events. Tweets, Twitter's …