K-means and k-medoids: Cluster analysis on birth data collected in city Muzaffarabad, Kashmir
In the field of medical, each and every analysis is decisive as the study links to life of the
subject under observation. One of the most vital area in the field of medical is the healthcare …
subject under observation. One of the most vital area in the field of medical is the healthcare …
HGSORF: Henry Gas Solubility Optimization-based Random Forest for C-Section prediction and XAI-based cause analysis
A stable predictive model is essential for forecasting the chances of cesarean or C-section
(CS) delivery, as unnecessary CS delivery can adversely affect neonatal, maternal, and …
(CS) delivery, as unnecessary CS delivery can adversely affect neonatal, maternal, and …
ICovidCare: Intelligent health monitoring framework for COVID-19 using ensemble random forest in edge networks
M Adhikari, A Munusamy - Internet of Things, 2021 - Elsevier
The COVID-19 outbreak is in its growing stage due to the lack of standard diagnosis for the
patients. In recent times, various models with machine learning have been developed to …
patients. In recent times, various models with machine learning have been developed to …
Ensemble based machine learning model for early detection of mother's delivery mode
The mother's mode of delivery greatly impacts the relationship between the newborn baby
and the mother, as well as the mother's and baby's health. Currently, the cesarean rate is …
and the mother, as well as the mother's and baby's health. Currently, the cesarean rate is …
Performance evaluation of different machine learning classification algorithms for disease diagnosis
MA Al-Hashem, AM Alqudah… - International Journal of E …, 2021 - igi-global.com
Abstract Knowledge extraction within a healthcare field is a very challenging task since we
are having many problems such as noise and imbalanced datasets. They are obtained from …
are having many problems such as noise and imbalanced datasets. They are obtained from …
Analysis of birth data using ensemble modeling techniques
Machine learning and data mining are being used in different fields like data analysis,
prediction, image processing, etc., and particularly in healthcare. Over the past decade …
prediction, image processing, etc., and particularly in healthcare. Over the past decade …
The impact of data balancing on the classifier's performance in predicting cesarean childbirth
The number of cesarean sections delivered world-wide is increasing at an alarming rate. It
has a negative influence on the health of both mother and child, as well as on the economy …
has a negative influence on the health of both mother and child, as well as on the economy …
The impact of different data mining classification techniques in different datasets
Data Mining is the process of finding knowledge through the processing of massive amounts
of data from different viewpoints and combining them into valuable information; data mining …
of data from different viewpoints and combining them into valuable information; data mining …
Cesarean section classification using machine learning with feature selection, data balancing and explainability
Disease samples are naturally fewer than healthy samples which introduces bias in the
training of machine learning (ML) models. Current study focuses in learning discriminating …
training of machine learning (ML) models. Current study focuses in learning discriminating …
An idiosyncratic MIMBO-NBRF based automated system for child birth mode prediction
S Hemalatha - Artificial Intelligence in Medicine, 2023 - Elsevier
Predicting the mode of child birth is still remains one of the most complex and challenging
tasks in ancient times. Also, there is no such strong methodologies are developed in the …
tasks in ancient times. Also, there is no such strong methodologies are developed in the …