Results 121 to 130 of about 32,654 (268)

Multicentre Evaluation of an AI‐Assisted Urine Test for Clinically Significant Prostate Cancer in Men Undergoing Initial Biopsy

Journal of Extracellular Vesicles, Volume 15, Issue 4, April 2026.
ABSTRACT The Extracellular Vesicles Gene‐based Prostate Score (EGPS), powered by DeepSeek, is an artificial intelligence (AI) diagnostic tool that enhances the detection of clinically significant prostate cancer (csPCa) using urinary EV‐derived gene expression, without requiring digital rectal examination (DRE).
Shaoqin Jiang, Chunguang Yang, Zhangcheng Huang, Zebang Guo, Feiting Lu, Xinwen Nian, Zhenlin Chen, Pengwei Luo, Jiawei Jiang, Xu Gao, Mengqiang Li, Fei Liu   +11 more
wiley   +1 more source

Identification of mine water source based on TPE-LightGBM

Scientific Reports
AbstractMine water inrush is a serious threat to mine safety production. It is very important to identify water inrush source types quickly to prevent and control water damage. In this study, the aqueous chemical components Na+ + K+, Ca2+, Mg2+, Cl−, SO42− and HCO3− of different aquifers in Pingdingshan coalfield were selected as the characteristic ...
Man Wang, Jianguo Zhang, Han Li, Bo Zhang, Zhenwei Yang   +4 more
openaire   +3 more sources

Machine learning model identifies tibial anatomical variables as potential risk factors for anterior cruciate ligament injury

Knee Surgery, Sports Traumatology, Arthroscopy, Volume 34, Issue 4, Page 1513-1523, April 2026.
Abstract Purpose The tibial slope is a well‐known risk factor for anterior cruciate ligament (ACL) injury. As machine learning continues to progress, it has become an increasingly explored tool for clinical screening and risk factor analysis. This study aims to develop and validate a prognostic machine learning model to predict the outcome of ACL ...
Cheng‐Hao Kao, Javad Hashemi, James Slauterbeck, Naveen Chandrashekar   +3 more
wiley   +1 more source

Comparison of CatBoost and LightGBM Models for Air Humidity Prediction

Journal of Applied Informatics and Computing
This study uses historical weather data from the Badan Meteorologi, Klimatologi, dan Geofisika (BMKG) to evaluate the performance of two combination machine learning models, LightGBM and CatBoost, in predicting air humidity.
Tangkas Surya Wibawa, Novita Kurnia Ningrum, Ahmad Syahreza   +2 more
doaj   +1 more source

Patent lifetime prediction using LightGBM with a customized loss

PeerJ Computer Science
Patent lifespan is commonly used as a quantitative measure in patent assessments. Patent holders maintain exclusive rights by paying significant maintenance fees, suggesting a strong correlation between a patent’s lifespan and its business potential or economic value.
Jieming Liu, Peizhao Li, Xiaowei Liu
openaire   +3 more sources

The Evaluation of Machine Learning Models Using Matrix‐Assisted Laser Desorption/Ionization Time‐of‐Flight Mass Spectrometry (MALDI–TOF–MS) Spectra for the Prediction of Antibiotic Resistance in Klebsiella pneumoniae

MicrobiologyOpen, Volume 15, Issue 2, April 2026.
Machine learning models developed from matrix‐assisted laser desorption/ionization time‐of‐flight mass spectrometry spectra can rapidly predict antimicrobial resistance in Klebsiella pneumoniae. By transforming routine spectral data into accurate resistance profiles within minutes, this approach could reduce diagnostic delays and support earlier ...
Stephen Mark Edward Fordham
wiley   +1 more source

A Machine Learning‐Based Model for Individualized Prediction of Vancomycin Concentration‐Time Curves in ICU Patients

Pharmacology Research &Perspectives, Volume 14, Issue 2, April 2026.
A machine learning–integrated pharmacokinetic model improves individualized prediction of vancomycin concentration–time profiles in ICU patients and outperforms traditional pharmacokinetic models, providing a practical decision‐support tool for precision dosing.
Jing‐Yi Wang, Jiang Hu, Yan Chen, Shan Li, Jin‐Min Peng, Run Dong, Xiao‐Yun Hu, Wei Jiang, Chun‐Yao Wang, Li Weng, Bin Du, the China Critical Care Clinical Trials Group (CCCCTG)   +11 more
wiley   +1 more source

Implementation of Chi-Square Feature Selection for Parkinson’s Disease Classification Using LightGBM

IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
Penyakit Parkinson merupakan penyakit yang disebabkan oleh kerusakan sel saraf otak dan termasuk penyakit yang jumlah kasusnya meningkat pesat di dunia.
Annisa Salsabila Ahdyani, Irwan Budiman, Dwi Kartini, Andi Farmadi, Muhammad Itqan Mazdadi   +4 more
doaj   +1 more source

Integration of Machine Learning With PBPK and QSAR Modeling Approaches to Facilitate Drug Discovery and Development

CPT: Pharmacometrics &Systems Pharmacology, Volume 15, Issue 4, April 2026.
ABSTRACT This review examines the application of machine learning (ML) in physiologically based pharmacokinetic (PBPK) modeling through improved prediction of input parameters, particularly via quantitative structure–activity relationship (QSAR) models, for absorption, distribution, metabolism, and excretion (ADME) properties across drug development ...
Xinyue Chen, Zhoumeng Lin
wiley   +1 more source

APPLICATION OF THE SUPPORT VECTOR MACHINE, LIGHT GRADIENT BOOSTING MACHINE, ADAPTIVE BOOSTING, AND HYBRID ADABOOST-SVM MODEL ON CUSTOMERS CHURN DATA

Barekeng
A service provider is a business that provides services or the expertise of an individual in a certain sector. A service provider’s customer flow could be very dynamic, with both new and churning customers.
Felice Elena, Robyn Irawan, Benny Yong
doaj   +1 more source