Machine Learning-Based Relative Performance Analysis for Breast Cancer Prediction
The current high population growth in medical research has made early disease
identification an urgent issue. The danger of dying from breast cancer is increasing …
identification an urgent issue. The danger of dying from breast cancer is increasing …
SARS CovidAID: Automatic detection of SARS CoV-19 cases from CT scan images with pretrained transfer learning model (VGG19, RESNet50 and DenseNet169) …
The COVID-19 outbreak has presented significant challenges to medical professionals
worldwide and underscored the need for accurate and effective detection methods due to its …
worldwide and underscored the need for accurate and effective detection methods due to its …
An Interpretable Approach with Explainable AI for Heart Stroke Prediction
Heart strokes are a significant global health concern, profoundly affecting the wellbeing of
the population. Many research endeavors have focused on developing predictive models for …
the population. Many research endeavors have focused on developing predictive models for …
The application and comparison of Deep Learning models for the prediction of chest cancer prognosis
Lung cancers of all varieties, esophageal cancers, and cancers of the mediastinum (the area
between the lungs), pleura (the membrane lining the chest cavity and surrounding the …
between the lungs), pleura (the membrane lining the chest cavity and surrounding the …
Inkjet printing of graphene-reinforced zirconia composite: microstructures and properties
PP Pandit - 2023 - search.proquest.com
Owing to their superior properties like excellent mechanical strength, thermal and oxidation
resistance, chemical stability, biocompatibility, chemical resistance, etc. zirconia-based …
resistance, chemical stability, biocompatibility, chemical resistance, etc. zirconia-based …
Stroke Probability Prediction from Medical Survey Data: AI-Driven Analysis with Insightful Feature Importance using Explainable AI (XAI)
Prioritizing dataset dependability, model performance, and interoperability is a compelling
demand for improving stroke probability prediction from medical surveys using AI in …
demand for improving stroke probability prediction from medical surveys using AI in …
Stroke Risk Prediction from Medical Survey Data: AI-Driven Risk Analysis with Insightful Feature Importance using Explainable AI (XAI)
Prioritizing dataset dependability, model performance, and interoperability is a compelling
demand for improving stroke risk prediction from medical surveys using AI in healthcare …
demand for improving stroke risk prediction from medical surveys using AI in healthcare …
Harnessing the Power of Ensemble Machine Learning for the Heart Stroke Classification
A heart stroke, also known as a myocardial infarction or heart attack, is a critical medical
condition that arises when there is an obstruction in the coronary arteries that provide blood …
condition that arises when there is an obstruction in the coronary arteries that provide blood …
Intimate Partner Violence and Homelessness among Women: The Role of the YWCA to Rebuild Their Lives
The problem of intimate partner violence is multifaceted and intricate. Women face intimate
partner violence due to a lack of control over power and economic resources. Women …
partner violence due to a lack of control over power and economic resources. Women …