Results 101 to 110 of about 7,493 (200)

Association between occupational lead exposure and multiple health indicators: A machine learning-based study

环境与职业医学
BackgroundLead (Pb) is a highly toxic heavy metal that accumulates in the body, potentially leading to multi-systemic impairment. Compared with traditional statistical methods, machine learning techniques offer unique advantages, opening new avenues for ...
Jiali QIAN, Boshen WANG, Qinheng ZHU, Xiaoru DAI, Baoli ZHU   +4 more
doaj   +1 more source

An Explainable Machine Learning Model for Early Prediction of Incident Myocardial Injury in Patients With Severe Fever With Thrombocytopenia Syndrome

Journal of Medical Virology, Volume 98, Issue 7, July 2026.
ABSTRACT This study aimed to develop an explainable machine learning–based model to enable early prediction of incident myocardial injury during hospitalization among patients with severe fever with thrombocytopenia syndrome (SFTS). This multicenter retrospective cohort study included and analyzed clinical data from 1,088 patients with SFTS who were ...
Xiang Li, Xiaotong Yu, Wei Zhou, Sujuan Zhang, Zibo Fan, Yuanni Liu, Yi Shen, Zhenghua Zhao, Jianping Duan, Ling Lin, Zhihai Chen, Wei Zhang   +11 more
wiley   +1 more source

Implementasi Algoritma Catboost Dan Shapley Additive Explanations (SHAP) Dalam Memprediksi Popularitas Game Indie Pada Platform Steam

Jurnal Teknologi Informasi dan Ilmu Komputer
Meningkatnya popularitas game indie di pasar game mewajibkan para pengembang game indie bersaing untuk membuat game nya diminati oleh para pengguna dengan berbagai cara agar dapat meningkatkan potensi popularitasnya.
Mohammad Teddy Syamkalla, Siti Khomsah, Yohani Setya Rafika Nur   +2 more
doaj   +1 more source

NToxSEM: Enhancing prediction of neurotoxic peptides and neurotoxins using a stacked ensemble‐based multimodal framework

Protein Science, Volume 35, Issue 7, July 2026.
Abstract The safety assessment of therapeutic proteins and genetically modified (GM) organisms relies heavily on the rapid and accurate prediction of peptides, and proteins that exhibit neurotoxic activity. Since experimental methods are time‐consuming and costly, they are not technically suitable for the cost‐effective characterization of neurotoxic ...
Watshara Shoombuatong, Nalini Schaduangrat, S. M. Hasan Mahmud, Saeed Ahmed   +3 more
wiley   +1 more source

Prediksi Kualitas Udara Menggunakan Metode CatBoost

JISKA (Jurnal Informatika Sunan Kalijaga)
Air is important for life, but industrial activities, forest burning, cigarette smoke and transportation increase air pollution. AirVisual AQI 2024 data places Jakarta in 11th place in the world with the highest level of pollution, reaching 127 which is unhealthy for sensitive groups, and poses a risk of causing serious illnesses such as skin and ...
Mohamad Arif Abdul Syukur Syukur, Suhartono Suhartono, Totok Chamidy   +2 more
openaire   +2 more sources

Research on an identification model for mine water inrush sources based on the HBA-CatBoost algorithm

Scientific Reports
Accurate and efficient identification of water inrush sources, as one of the three critical elements of mine water hazards, is crucial for mine water management.
Jin Xu, Lulin Zheng, Hong Lan, Yujun Zuo, Bo Li, Shiyu Tian, Youwen Tian   +6 more
doaj   +1 more source

State of Charge Prediction of Mine-Used LiFePO₄ Battery Based on PSO-Catboost

Energies
The accurate prediction of battery state of charge (SOC) is one of the critical technologies for the safe operation of a power battery. Aiming at the problem of mine power battery SOC prediction, based on the comparative experiments and analysis of ...
Dazhong Wang, Yinghui Chang, Pengfei Ji, Yanchun Suo, Ning Chen   +4 more
doaj   +1 more source

Student’s Digital Intentions Prediction Using CatBoost

JTP - Jurnal Teknologi Pendidikan
Digital Education and Entrepreneurial (DE) represents a new paradigm in Education and Entrepreneurial that leverages digital technology to create, manage, and expand businesses. By integrating advanced digital tools and platforms, DE plays a crucial role in reshaping traditional business models, driving innovation faster, and enabling enterprises to ...
Zulwisli, Ambiyar, Muhammad Anwar, Andhika Herayono   +3 more
openaire   +3 more sources

Flood-prone area mapping using a synergistic approach with swarm intelligence and gradient boosting algorithms

Scientific Reports
Accurate flood susceptibility mapping (FSM) is a control approach to flood management. This research introduces a novel approach to increase the accuracy of FSM by optimizing the CatBoost algorithm with two swarm-based metaheuristic algorithms: the Zebra
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Sani I. Abba, Jamil Hussain, Soo-Mi Choi   +4 more
doaj   +1 more source

Prediction of Ligand Binding to Transthyretin Using Machine Learning Algorithms and Low-Dimensional Molecular Descriptors: A Tox24 Challenge Study. [PDF]

Chem Res Toxicol
Stefaniak F.
europepmc   +1 more source