[HTML][HTML] Ensemble machine learning framework for predicting maternal health risk during pregnancy

AO Khadidos, F Saleem, S Selvarajan, Z Ullah… - Scientific Reports, 2024 - nature.com
Maternal health risks can cause a range of complications for women during pregnancy. High
blood pressure, abnormal glucose levels, depression, anxiety, and other maternal health …

[PDF][PDF] Anomaly Detection in Human Disease: A Hybrid Approach Using GWO-SVM for Gene Selection.

HAA Mohammed, I Nazeeh… - Revue d' …, 2023 - pdfs.semanticscholar.org
The goal is to facilitate early disease detection. A Grey Wolf Optimizer (GWO) was
implemented in the proposed method, a meta-heuristic algorithm known for its efficiency in …

A novel approach for imbalanced instance handling toward better preterm birth classification.

H Deshpande, L Ragha - International Journal of Electrical & …, 2024 - search.ebscohost.com
Preterm birth (PTB) is a major cause of child and mother mortality, a PTB classification
model can assist in assessing the health condition ahead of time and help avoid …

FACO: A Novel Hybrid Feature Selection Algorithm for High-Dimensional Data Classification

G Popoola, K Oyeniran - SoutheastCon 2024, 2024 - ieeexplore.ieee.org
High-dimensional datasets, encompassing rich and valuable information, are frequently
encountered in numerous real-world scenarios. However, the task of classifying such …

Improving Maternal Health by Predicting Various Pregnancy-Related Abnormalities Using Machine Learning Algorithms

K Nandhini, J Jayapriya, M Vinay - Technological Tools for Predicting …, 2023 - igi-global.com
Over the past few decades, artificial intelligence has been showing its high relevance and
potential in a vast number of applications, particularly in the healthcare domain. Having a …

Mother's lifestyle feature relevance for nicu and preterm birth prediction

H Deshpande, L Ragha - ITM Web of Conferences, 2021 - itm-conferences.org
Maternal health plays an important role in defining the health of mother, child and childbirth
experience. With the change in lifestyle over the decades, there have been many health …

Unanticipated fault diagnosis of large telescopes based on IGWO-iForest

R Liu, L Xu, Z Deng, Y Li, C Pan… - … for Astronomy VIII, 2024 - spiedigitallibrary.org
A method for unanticipated fault diagnosis based on IGWO-iForest (Improved Grey Wolf
Optimizer-Isolation Forest) is proposed to address various unpredictable problems faced by …

Random Forest based Fuzzy Feature Weighing model for Imbalance Class Distribution towards Preterm-birth Classification

H Deshpande, L Ragha - … of the 4th International Conference on …, 2021 - papers.ssrn.com
In medical domain, dataset are found to have imbalanced distribution across the available
classes. Classification results on imbalance datasets are found to be biased towards …