[HTML][HTML] A medical cyber-physical system for predicting maternal health in develo** countries using machine learning
It is essential to monitor any health issues during pregnancy to ensure a safe delivery
because pregnancy is crucial for both mother and child. However, develo** countries …
because pregnancy is crucial for both mother and child. However, develo** countries …
Applying advanced data analytics on pregnancy complications to predict miscarriage with explainable AI
Pregnancy complications in the early months of the family process can lead to miscarriage.
Miscarriage does not occur due to only one reason; many factors are involved in causing …
Miscarriage does not occur due to only one reason; many factors are involved in causing …
Artificial Intelligence-Driven Approach for Predicting Maternal Health Risk Factors
MM Hosaain, MA Kashem… - 2024 9th South-East …, 2024 - ieeexplore.ieee.org
The development of machine learning has the potential to significantly improve the
identification and treatment of pregnancy-related risks in maternal health. This work uses an …
identification and treatment of pregnancy-related risks in maternal health. This work uses an …
Predicting Pre-Diabetic and Diabetes in Adults and Elderlies Using Machine Learning
Diabetes, a chronic metabolic disorder charac-terized by elevated blood glucose levels,
poses a significant global health challenge. This paper aims to utilize machine learning …
poses a significant global health challenge. This paper aims to utilize machine learning …
Detection Using Shapley Additive Explanations Approach
A Khan, S Yadav¹, P Nand¹… - Recent Trends and …, 2024 - books.google.com
The chronic and incurable disease of diabetes that is not only marked with increasing
prevalence but is also linked to other life-threatening diseases like cardiovascular diseases …
prevalence but is also linked to other life-threatening diseases like cardiovascular diseases …
Optimizing Diabetic Neuropathy Severity Classification Using Electromyography Signals Through Synthetic Oversampling Techniques
Electromyography signals are electrical signals generated by muscle activity and are very
useful for analyzing the health conditions of muscles and nerves. Data imbalance is a …
useful for analyzing the health conditions of muscles and nerves. Data imbalance is a …
An Explainable Predictive Model for Diabetes Detection Using Shapley Additive Explanations Approach
The chronic and incurable disease of diabetes that is not only marked with increasing
prevalence but is also linked to other life-threatening diseases like cardiovascular diseases …
prevalence but is also linked to other life-threatening diseases like cardiovascular diseases …
Exploring Resampling Techniques in Credit Card Default Prediction
M Lokanan - 2024 - researchsquare.com
In the field of machine learning, the preparation of data is a pivotal step in optimizing model
performance. This paper delves into the crucial role of data cleaning and transformation …
performance. This paper delves into the crucial role of data cleaning and transformation …
Mohammad Mobarak Hossain1, Nasim Mahmud Nayan2, and
MA Kashem - Internet of Things Applications and Technology, 2024 - books.google.com
Mohammad Mobarak Hossain1, Nasim Mahmud Nayan2, and Page 165 Chapter 10
Enhancing the Security of Pregnancy Health Data Transmission through Homomorphic …
Enhancing the Security of Pregnancy Health Data Transmission through Homomorphic …
Enhancing the Security of Pregnancy Health Data Transmission through Homomorphic Encryption: An Advanced Model
MM Hossain, NM Nayan, MA Kashem - Internet of Things Applications … - taylorfrancis.com
This study suggests a sophisticated methodology that overcomes the shortcomings and
gaps in current methods for transmitting safe pregnant health data. The approach uses …
gaps in current methods for transmitting safe pregnant health data. The approach uses …