bjo.bmj

Big-data and artificial-intelligence-assisted vault prediction and EVO-ICL size selection for myopia correction

Aims To predict the vault and the EVO-implantable collamer lens (ICL) size by artificial intelligence (AI) and big data analytics. Methods Six thousand two hundred and ninety-seven eyes implanted with ...
IEEE

Enhancing Code Smell Detection Performance in Python Programming Language : A Comparative Study

Abstract: Code smell is one of the problems in programming which indicates that a problem has occurred, where there is something less than ideal in the code even though the code can run well. This ...
GitHub

Gotcha GPT ensures the integrity of academic writing in universities and publishing houses due to advances in Artificial Intelligence (AI). It discriminates AI- and human ...

Gotcha GPT is a code to dicriminate AI- and human-generated english manuscripts by using classifier models (Decision trees, Extra Trees, Random Forest, and AdaBoost). The Gotcha GPT framework is ...
ascopubs.org

Preoperative Maximum Standardized Uptake Value Emphasized in Explainable Machine Learning Model for Predicting the Risk of Recurrence in Resected Non–Small Cell Lung Cancer

This retrospective study included 643 patients who had undergone NSCLC resection. ML models (random forest, gradient boosting, extreme gradient boosting, and AdaBoost) and a random survival forest ...
Nature

A predictive model for secondary central nervous system infection after craniotomy based on machine learning

To analyze the risk factors of secondary Central nervous system infections (CNSIs) after craniotomy, and to establish an individualized predictive model for CNSIs risk. The independent risk factors ...
Nature

Software defined networking based network traffic classification using machine learning techniques

The classification of network traffic has become increasingly crucial due to the rapid growth in the number of internet users. Conventional approaches, such as identifying traffic based on port ...
Scientific Research Publishing

Stock Type Prediction Based on Multiple Machine Learning Methods ()

Stocks in the Chinese stock market can be divided into ST stocks and normal stocks, so to prevent investors from buying potential ST stocks, this paper first performs SMOTEENN oversampling data ...
Scientific Research Publishing

Ensemble Machine Learning Models in Financial Distress Prediction: Evidence from China ()

1 Urban Governance and Design Society Hub, Hong Kong University of Science and Technology, Guangzhou, China. 2 School of Accounting and Finance, Faculty of Business, The Hong Kong Polytechnic ...
IEEE

A Severity Assessment of Python Code Smells

Abstract: Presence of code smells complicate the source code and can obstruct the development and functionality of the software project. As they represent improper behavior that might have an adverse ...
Frontiers

An ensemble learning approach for diabetes prediction using boosting techniques

Introduction: Diabetes is considered one of the leading healthcare concerns affecting millions worldwide. Taking appropriate action at the earliest stages of the disease depends on early diabetes ...
GitHub

Baymax - Low Budget Medical Aid Solution for Rural and Remote Areas

Baymax is a low-budget medical aid solution designed to address the scarcity of medical assistance in rural, remote, and even urban areas. The application aims to provide efficient medical diagnosis ...