Works matching DE "MACHINE learning"

Results: 5000

Machine learning prediction of early reoperation following lower extremity tumor resection and endoprosthetic reconstruction: A PARITY trial secondary analysis.

Published in:

Journal of Orthopaedic Surgery & Research, 2025, v. 20, n. 1, p. 1, doi. 10.1186/s13018-025-06139-7

By:

Newman-Hung, Nicole J.;
Shah, Akash A.;
Kendal, Joseph K.;
Bernthal, Nicholas M.;
Wessel, Lauren E.

Publication type:

Article

Deployment of a Machine Learning Algorithm in a Real-World Cohort for Quality Control Monitoring of Human Epidermal Growth Factor-2--Stained Clinical Specimens in Breast Cancer.

Published in:

Archives of Pathology & Laboratory Medicine, 2025, v. 149, n. 8, p. 751, doi. 10.5858/arpa.2024-0111-OA

By:

Glass, Benjamin;
Vandenberghe, Michel E.;
Chavali, Surya Teja;
Javed, Syed Ashar;
Resnick, Murray;
Pokkalla, Harsha;
Elliott, Hunter;
Rao, Sudha;
Sridharan, Shamira;
Brosnan-Cashman, Jacqueline A.;
Wapinski, Ilan;
Montalto, Michael;
Beck, Andrew H.;
Barker, Craig

Publication type:

Article

Application of Machine Learning in the Diagnosis of Temporomandibular Disorders: An Overview.

Published in:

Oral Diseases, 2025, v. 31, n. 7, p. 1964, doi. 10.1111/odi.15300

By:

Wu, Xiayanran;
Zheng, Yunhao;
He, Chaolin;
Liu, Yiwei;
Cheng, Qian;
Xiong, Xin;
Wang, Jun

Publication type:

Article

Stromal Prognostic Markers for Oral Cancer: An Update.

Published in:

Oral Diseases, 2025, v. 31, n. 7, p. 2019, doi. 10.1111/odi.15278

By:

de Morais, Everton Freitas;
Mäkitie, Antti;
Coletta, Ricardo D.;
Almangush, Alhadi

Publication type:

Article

Development and evaluation of a machine learning model to predict acute care for opioid use disorder among Medicaid enrollees engaged in a community‐based treatment program.

Published in:

Addiction, 2025, v. 120, n. 9, p. 1780, doi. 10.1111/add.70079

By:

Xue, Lingshu;
Yin, Ruofei;
Cole, Evan S.;
Lo‐Ciganic, Wei‐Hsuan;
Gellad, Walid F.;
Donohue, Julie;
Tang, Lu

Publication type:

Article

The synthesis of MgO@biochar anode by the simple ball milling method for phosphate removal by electrocoagulation.

Published in:

Chemistry & Ecology, 2025, v. 41, n. 7, p. 936, doi. 10.1080/02757540.2025.2514485

By:

Li, Jingwen;
Li, Chen;
Xie, Guixian;
Ma, Huiqiang;
Wang, Bo

Publication type:

Article

STATISTICAL MODELING AND PREDICTION OF PANDEMIC USING CLASSICAL AND MACHINE LEARNING APPROACH.

Published in:

Pakistan Journal of Statistics, 2025, v. 41, n. 3, p. 187

By:

Gul, Ahtasham;
Khan, Faridoon;
Farooq, Muhammad;
Javaid, Amjad;
Hussain, Zawar;
ElZaghmouri, Bassam

Publication type:

Article

Emulating grid-based forest carbon dynamics using machine learning: an LPJ-GUESS v4.1.1 application.

Published in:

Geoscientific Model Development, 2025, v. 18, n. 14, p. 4317, doi. 10.5194/gmd-18-4317-2025

By:

Natel, Carolina;
Belda, David Martín;
Anthoni, Peter;
Haß, Neele;
Rabin, Sam;
Arneth, Almut

Publication type:

Article

Magnetic resonance imaging characteristics of small cell and non-small cell lung cancer brain metastases: a retrospective study.

Published in:

Journal of Medicine & Life, 2025, v. 18, n. 6, p. 563, doi. 10.25122/jml-2024-0411

By:

Pomohaci, Daniela;
Marciuc, Emilia Adriana;
Dobrovăț, Bogdan-Ionuț;
Popescu, Mihaela-Roxana;
Ilinca, Diana-Andreea;
Chirica, Costin;
(Onicescu), Oriana-Maria Oniciuc;
Haba, Danisia

Publication type:

Article

An Exploratory Application of Machine Learning Algorithms in Estimating Net Salaries in Romania.

Published in:

Romanian Economic Journal, 2025, v. 27, n. 90, p. 184, doi. 10.24818/REJ/2025/90/07

By:

Aiftincăi, Adriana

Publication type:

Article

Deep Machine Learning in Cosmology: Evolution or Revolution?

Published in:

Proceedings of the International Astronomical Union, 2023, v. 19, n. S368, p. 28, doi. 10.1017/S1743921323003502

By:

Lahav, Ofer

Publication type:

Article

Panel discussion: Methodology for fusion of large datasets.

Published in:

Proceedings of the International Astronomical Union, 2023, v. 19, n. S368, p. 56, doi. 10.1017/S1743921323002892

By:

Madhanpall, Nikhita;
Polsterer, Kai;
Walmsley, Mike;
Zucker, Shay

Publication type:

Article

An Astronomers Guide to Machine Learning.

Published in:

Proceedings of the International Astronomical Union, 2023, v. 19, n. S368, p. 40, doi. 10.1017/S1743921323001710

By:

Webb, Sara A.;
Goode, Simon R.

Publication type:

Article

How do we design data sets for Machine Learning astronomy?

Published in:

Proceedings of the International Astronomical Union, 2023, v. 19, n. S368, p. 11, doi. 10.1017/S1743921323001394

By:

Hložek, Renée

Publication type:

Article

Spectral identification and classification of dusty stellar sources using spectroscopic and multiwavelength observations through machine learning.

Published in:

Proceedings of the International Astronomical Union, 2023, v. 19, n. S368, p. 67, doi. 10.1017/S1743921323001308

By:

Ghaziasgar, Sepideh;
Masoudnezhad, Amirhossein;
Javadi, Atefeh;
van Loon, Jacco Th.;
Khosroshahi, Habib G.;
Khosravaninezhad, Negin

Publication type:

Article

Enhancing Exoplanet Surveys via Physics-informed Machine Learning.

Published in:

Proceedings of the International Astronomical Union, 2023, v. 19, n. S368, p. 1, doi. 10.1017/S174392132300128X

By:

Ford, Eric B.

Publication type:

Article

Stellar spectra classification and clustering using deep learning.

Published in:

Proceedings of the International Astronomical Union, 2023, v. 19, n. S368, p. 122, doi. 10.1017/S1743921323001254

By:

Różański, Tomasz

Publication type:

Article

The entropy of galaxy spectra.

Published in:

Proceedings of the International Astronomical Union, 2023, v. 19, n. S368, p. 58, doi. 10.1017/S1743921323001229

By:

Ferreras, I.;
Lahav, O.;
Somerville, R. S.;
Silk, J.

Publication type:

Article

Machine Learning in the study of Star Clusters with Gaia EDR3.

Published in:

Proceedings of the International Astronomical Union, 2023, v. 19, n. S368, p. 86, doi. 10.1017/S1743921323000807

By:

Hasan, Priya;
Mahmudunnobe, Md;
Raja, Mudasir;
Saifuddin, Md;
Hasan, S N

Publication type:

Article

Neural Networks for Meteorite and Meteor Recognition.

Published in:

Proceedings of the International Astronomical Union, 2023, v. 19, n. S368, p. 95, doi. 10.1017/S1743921323000704

By:

Al-Owais, Aisha;
Sharif, Maryam;
Fernini, Ilias;
Manousakis, Antonios

Publication type:

Article

Predicting Physical Parameters of Cepheid and RR Lyrae variables in an Instant with Machine Learning.

Published in:

Proceedings of the International Astronomical Union, 2023, v. 19, n. S368, p. 104, doi. 10.1017/S1743921323000571

By:

Bhardwaj, A.;
Bellinger, E. P.;
Kanbur, S. M.;
Marconi, M.

Publication type:

Article

Kinematic Planetary Signature Finder (KPSFinder): convolutional neural network-based tool to search for exoplanets in ALMA data.

Published in:

Proceedings of the International Astronomical Union, 2023, v. 19, n. S368, p. 101, doi. 10.1017/S1743921322005051

By:

Bae, Jaehan

Publication type:

Article

Deep learning and numerical simulations to infer the evolution of MaNGA galaxies.

Published in:

Proceedings of the International Astronomical Union, 2023, v. 19, n. S368, p. 116, doi. 10.1017/S1743921322003659

By:

Sarmiento, Regina;
Knapen, Johan H.;
Huertas-Company, Marc;
Pillepich, Annalisa;
Sánchez, Sebastián F.;
Ibarra-Medel, Héctor;
Lacerda, Eduardo

Publication type:

Article

Panel Discussion: Practical Problem Solving for Machine Learning.

Published in:

Proceedings of the International Astronomical Union, 2023, v. 19, n. S368, p. 50, doi. 10.1017/S1743921322003647

By:

Cabrera, Guillermo;
Hong, Sungwook E.;
Nakazono, Lilianne;
Parkinson, David;
Ting, Yuan-Sen

Publication type:

Article

Data pre-extraction for better classification of galaxy mergers.

Published in:

Proceedings of the International Astronomical Union, 2023, v. 19, n. S368, p. 119, doi. 10.1017/S1743921322003520

By:

Pearson, W. J.;
Suelves, L. E.

Publication type:

Article

Enhancing heat transfer in nanofluids: Exploring nanoparticle aggregation using deep learning optimization.

Published in:

Modern Physics Letters B, 2025, v. 39, n. 33, p. 1, doi. 10.1142/S0217984925501957

By:

Ullah, Basharat;
Bashir, Hamza;
Ahmed, Naveed;
Khan, Umar;
Kumar, Abhinav;
Garayev, Mubariz

Publication type:

Article

Efficient few-shot human activity recognition via meta-learning and data augmentation.

Published in:

Neural Computing & Applications, 2025, v. 37, n. 23, p. 19461, doi. 10.1007/s00521-025-11408-x

By:

Vettoruzzo, Anna;
Bouguelia, Mohamed-Rafik;
Rögnvaldsson, Thorsteinn

Publication type:

Article

The hyperdimensional transform for distributional modeling, regression and classification.

Published in:

Neural Computing & Applications, 2025, v. 37, n. 23, p. 19393, doi. 10.1007/s00521-025-11405-0

By:

Dewulf, Pieter;
De Baets, Bernard;
Stock, Michiel

Publication type:

Article

An artificial neural network-based automated identification system for selection of appropriate turbulence model for numerical simulation of tube thermal enhancement using nanofluids.

Published in:

Neural Computing & Applications, 2025, v. 37, n. 23, p. 19231, doi. 10.1007/s00521-025-11397-x

By:

Al Mahmud, Suaib;
Noor, Wazed Ibne;
Ibrahim, Azhar Mohd;
Ismail, Ahmad Faris

Publication type:

Article

Precise fraud detection and risk management with explainable artificial intelligence.

Published in:

Neural Computing & Applications, 2025, v. 37, n. 23, p. 19199, doi. 10.1007/s00521-025-11396-y

By:

Talaat, Fatma M.;
Medhat, T.;
Shaban, Warda M.

Publication type:

Article

Ganetic loss for generative adversarial networks with a focus on medical applications.

Published in:

Neural Computing & Applications, 2025, v. 37, n. 23, p. 19177, doi. 10.1007/s00521-025-11384-2

By:

Akhmedova, Shakhnaz;
Körber, Nils

Publication type:

Article

Optimizing student engagement detection using facial and behavioral features.

Published in:

Neural Computing & Applications, 2025, v. 37, n. 23, p. 19063, doi. 10.1007/s00521-025-11317-z

By:

Das, Riju;
Dev, Soumyabrata

Publication type:

Article

Communication with factorized policy gradients in multi-agent deep reinforcement learning.

Published in:

Neural Computing & Applications, 2025, v. 37, n. 23, p. 18933, doi. 10.1007/s00521-025-11272-9

By:

Zhu, Changxi;
Dastani, Mehdi;
Wang, Shihan

Publication type:

Article

A retrospective cohort study using machine learning to predict coronary artery lesions in children with Kawasaki disease.

Published in:

BMC Pediatrics, 2025, v. 25, n. 1, p. 1, doi. 10.1186/s12887-025-05917-w

By:

Duan, Yanan;
Chen, Aiping;
Cheng, Xuedi

Publication type:

Article

Identification and validation of an explainable machine learning model for vascular depression diagnosis in the older adults: a multicenter cohort study.

Published in:

BMC Medicine, 2025, v. 23, n. 1, p. 1, doi. 10.1186/s12916-025-04283-9

By:

Zhang, Ran;
Li, Tian;
Fan, Fan;
He, Haoying;
Lan, Liuyi;
Sun, Dong;
Xu, Zhipeng;
Peng, Sisi;
Cao, Jing;
Xu, Juan;
Peng, Xiaoxiang;
Lei, Ming;
Song, Hao;
Zhang, Junjian

Publication type:

Article

Using a large language model (ChatGPT) to assess risk of bias in randomized controlled trials of medical interventions: protocol for a pilot study of interrater agreement with human reviewers.

Published in:

BMC Medical Research Methodology, 2025, v. 25, n. 1, p. 1, doi. 10.1186/s12874-025-02631-0

By:

Rose, Christopher James;
Bidonde, Julia;
Ringsten, Martin;
Glanville, Julie;
Berg, Rigmor C.;
Cooper, Chris;
Muller, Ashley Elizabeth;
Bergsund, Hans Bugge;
Meneses-Echavez, Jose F.;
Potrebny, Thomas

Publication type:

Article

Advanced multi-label brain hemorrhage segmentation using an attention-based residual U-Net model.

Published in:

BMC Medical Informatics & Decision Making, 2025, v. 25, n. 1, p. 1, doi. 10.1186/s12911-025-03131-3

By:

Lin, Xinxin;
Zou, Enmiao;
Chen, Wenci;
Chen, Xinxin;
Lin, Le

Publication type:

Article

Thyroid disease classification using generative adversarial networks and Kolmogorov-Arnold network for three-class classification.

Published in:

BMC Medical Informatics & Decision Making, 2025, v. 25, n. 1, p. 1, doi. 10.1186/s12911-025-03014-7

By:

Topşir, Aysel;
Güler, Ferdi;
Çetin, Ecesu;
Burak, Mehmet Furkan;
Ağraz, Melih

Publication type:

Article

Prediction of postoperative visual cognitive impairment using graph theory and machine learning based on resting-state brain networks.

Published in:

BMC Medical Imaging, 2025, v. 25, n. 1, p. 1, doi. 10.1186/s12880-025-01850-7

By:

Liu, Songbin;
Jiang, Zhaoshun;
Ye, Pei;
Lv, Feidong;
Tao, Fei;
Cai, Yuxi;
Yi, Lina;
Li, Shihong;
Wu, Guoqing;
Zhang, Jun;
Gu, Weidong

Publication type:

Article

A deep learning model for predicting radiation-induced xerostomia in patients with head and neck cancer based on multi-channel fusion.

Published in:

BMC Medical Imaging, 2025, v. 25, n. 1, p. 1, doi. 10.1186/s12880-025-01848-1

By:

Lin, Lin;
Ren, Yuchen;
Jian, Wanwei;
Yang, Geng;
Zhang, Bailin;
Zhu, Lin;
Zhao, Wenhao;
Meng, Haoyu;
Wang, Xuetao;
He, Qiang

Publication type:

Article

Prediction of postoperative visual cognitive impairment using graph theory and machine learning based on resting-state brain networks.

Published in:

BMC Medical Imaging, 2025, v. 25, n. 1, p. 1, doi. 10.1186/s12880-025-01850-7

By:

Liu, Songbin;
Jiang, Zhaoshun;
Ye, Pei;
Lv, Feidong;
Tao, Fei;
Cai, Yuxi;
Yi, Lina;
Li, Shihong;
Wu, Guoqing;
Zhang, Jun;
Gu, Weidong

Publication type:

Article

A deep learning model for predicting radiation-induced xerostomia in patients with head and neck cancer based on multi-channel fusion.

Published in:

BMC Medical Imaging, 2025, v. 25, n. 1, p. 1, doi. 10.1186/s12880-025-01848-1

By:

Lin, Lin;
Ren, Yuchen;
Jian, Wanwei;
Yang, Geng;
Zhang, Bailin;
Zhu, Lin;
Zhao, Wenhao;
Meng, Haoyu;
Wang, Xuetao;
He, Qiang

Publication type:

Article

CanCellCap: robust cancer cell capture across tissue types on single-cell RNA-seq data by multi-domain learning.

Published in:

BMC Biology, 2025, v. 23, n. 1, p. 1, doi. 10.1186/s12915-025-02337-1

By:

Bai, Jiaxing;
Gao, Yichun;
Zhou, Feng;
He, Yushuang;
Lin, Chen;
Huang, Xiaobing;
Wang, Ying

Publication type:

Article

Intraoperative hypotension prediction in cardiac and noncardiac procedures: is HPI truly worthwhile? A systematic review and meta-analysis.

Published in:

BMC Anesthesiology, 2025, v. 25, n. 1, p. 1, doi. 10.1186/s12871-025-03250-4

By:

Shirmohamadi, Erfan;
Dolama, Reza Hosseini;
Mohammadzadeh, Narjes;
Ebrahimi, Navid;
Ghasemloo, Negar

Publication type:

Article

Establishment of predictive models for postoperative delirium in elderly patients after knee/hip surgery based on total bilirubin concentration: machine learning algorithms.

Published in:

BMC Anesthesiology, 2025, v. 25, n. 1, p. 1, doi. 10.1186/s12871-025-03259-9

By:

Hua, Shuhui;
Li, Chuan;
Wang, Yuanlong;
Liang, YiZhi;
Xu, Shanling;
Kong, Jian;
Gong, Hongyan;
Dong, Rui;
Lin, Yanan;
Lin, Xu;
Bi, Yanlin;
Wang, Bin

Publication type:

Article

SuperEdgeGO: Edge-supervised graph representation learning for enhanced protein function prediction.

Published in:

PLoS Computational Biology, 2025, v. 21, n. 8, p. 1, doi. 10.1371/journal.pcbi.1013343

By:

Zhang, Shugang;
Li, Yuntong;
Ma, Wenjian;
Cai, Qing;
Qin, Jing;
Bi, Xiangpeng;
Jiang, Huasen;
Huang, Xiaoyu;
Wei, Zhiqiang

Publication type:

Article

Continual familiarity decoding from recurrent connections in spiking networks.

Published in:

PLoS Computational Biology, 2025, v. 21, n. 8, p. 1, doi. 10.1371/journal.pcbi.1013304

By:

Zemliak, Viktoria;
Pipa, Gordon;
Nieters, Pascal

Publication type:

Article

Opportunistic Prediction of Osteoporosis with Machine Learning Models Based on Clivus-radiomic Features Obtained from CT Images.

Published in:

Turkish Journal of Osteoporosis / Turk Osteoporoz Dergisi, 2025, v. 31, n. 2, p. 1, doi. 10.4274/tod.galenos.2024.03708

By:

Güngör, Candan;
Akay, Emrah;
Erdem, Fatih;
Bülbül, Erdoğan;
Demirpolat, Gülen;
Yanık, Bahar

Publication type:

Article

Shared diagnostic genes and potential mechanisms between intervertebral disc degeneration and diabetes mellitus revealed by integrated transcriptomic analysis and machine learning.

Published in:

Frontiers in Endocrinology, 2025, p. 1, doi. 10.3389/fendo.2025.1576826

By:

Song, Bao;
Wang, Jianmin;
Tang, Hao;
Li, Huadong;
Zhang, Wanli

Publication type:

Article

Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss.

Published in:

Frontiers in Endocrinology, 2025, p. 1, doi. 10.3389/fendo.2025.1544724

By:

Zhang, Rui;
Guo, Yuanbing;
Zhai, Xiaonan;
Wang, Juan;
Hao, Xiaoyan;
Yang, Liu;
Zhou, Lei;
Gao, Jiawei;
Liu, Jiayun

Publication type:

Article