lime
5 articles · search the full text for this term
-
A Lightweight Cost-Sensitive Explainable Ensemble Framework for Early Heart Disease Risk Prediction
Abstract: Cardiovascular disease is still one of the leading causes of death, and hence, the early prediction of risk is a very important task in preventive medicine. Although recent studies have shown encouraging results in the application of machine learning algorithms to the prediction of heart disease, it has been noticed that most of the algorithms are more concerned with accuracy-driven optimization than the concerns of safety and false negatives. In …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
-
Explainable Machine Learning Integrated with Polymer-Based Diagnostic Technologies for Liver Health Classification
Abstract: Early and reliable assessment of liver health is essential for timely treatment, yet most machine-learning approaches face limitations such as class imbalance and low clinical interpretability. This study proposes a polymer-integrated, explainable machine-learning framework that combines SMOTE-based data balancing, Logistic Regression, and XAI techniques (SHAP and LIME) for transparent liver-health classification. In addition to ML modelling, the study emphasizes the emerging role of polymer-based biosensors, microfluidic polymer chips, polymer nanomaterials, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 631–643 Read article
-
AI-Based Early Diagnosis & Prevention of Diabetes
Abstract: The worldwide burden of Diabetes Mellitus, especially Type 2 diabetes (T2D) has escalated to a critical level. Early detection of diabetes is essential to reduce long‑term complications and healthcare costs. This study explores the use of artificial intelligence (AI) techniques to improve the early diagnosis and prevention of diabetes. We developed an AI model using the Random Forest algorithm, the model predicts diabetes risk based on clinical and lifestyle variables …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
-
Red Earth Development of a Soil-Based Composite Using Bagasse Ash and Lime: Effects on Plasticity and Compaction Characteristics of Red Earth
Abstract: The concept of sustainable soil composites (SSC) emerges through blending red earth with bagasse ash (BA) and hydrated lime to enhance geotechnical properties and enable productive reuse of agro-industrial waste. Red earth functions as the matrix, BA acts as a fine pozzolanic microfiller, and lime serves as the chemical binder. BA content ranges from 0% to 60%, with 10% identified as optimal; subsequent lime additions from 1% to 5% evaluate …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1147–1158 Read article
-
The Effect of Quicklime on The CBR Value of Soft Soil Stabilized with Nickel Slag and Aluminium Hydroxide
Abstract: The construction of road structures on soft soils is prone to structural damage due to the low bearing capacity of the soil under the load imposed by vehicles. Chemical stabilization is a popular method used to increase the bearing capacity of soft soils. This study aims to examine the effectiveness of soft soil stabilization using a mixture of lime, nickel slag, and aluminium hydroxide to enhance soil bearing capacity. The …
Published in Journal of Geotechnical Engineering · Vol. 12, Issue 1, 2025 · pp. 1–8 Read article