Abstract: Asthma, a prevalent chronic respiratory condition, poses significant challenges to public health worldwide. Accurate and early prediction of asthma risk can greatly aid healthcare ...
This repository contains the complete implementation of a BSc Statistics dissertation investigating supervised learning approaches for fraud risk scoring in Nigerian financial transactions. The ...
Abstract: To compare the accuracy of the Random Forest algorithm with the Novel Logistic Regression Technique in order to predict the data quality issues for the voice emotion identification system.
ABSTRACT: In the past decade, Internet Of Things (IOT) technology has become one of the fastest-growing and most widely used technologies and is rapidly becoming a basic feature of global civilization ...
This project focuses on building a machine learning model to predict the approval status of loan applications based on applicant information. It explores data preprocessing, visualization, feature ...
Background: This study aimed to evaluate the predictive utility of routine hematological, inflammatory, and metabolic markers for bacteremia and to compare the classification performance of logistic ...
1 Computer Science and Engineering, World University of Bangladesh, Dhaka, Bangladesh. 2 Business Analytics, International American University, California, USA. 3 ...
Department of Pulmonary and Critical Care Medicine, The First Batch of Key Disciplines on Public Health in Chongqing, Second Affiliated Hospital of Chongqing Medical University, Chongqing, China ...
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