Suchergebnisse - Learning Algorithm

DTQFL: A Digital Twin-Assisted Quantum Federated Learning Algorithm for Intelligent Diagnosis in 5G Mobile Network

Autoren: Zhiguo Qu Yang Li Bo Liu et al.

Quelle: IEEE Journal of Biomedical and Health Informatics. 30:17-26

Schlagwörter: Machine Learning, Humans, Neural Networks, Computer, Diagnosis, Computer-Assisted, Federated Learning, Algorithms, Telemedicine, 3. Good health

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/37552590

Sustainable Selection of Machine Learning Algorithm for Gender-bias Attenuated Prediction

Autoren: Orbay, Raik Wikner, Evelina

Quelle: IEEE Open Journal of Vehicular Technology. 6:348-358

Schlagwörter: Feature engineering, Energy consumption, Battery electric vehicles, Unsupervised/supervised learning, Driving style classification, Machine learning

Dateibeschreibung: electronic

Zugangs-URL: https://research.chalmers.se/publication/543996
https://research.chalmers.se/publication/543996/file/543996_Fulltext.pdf

Development and Validation of a Wearable Intelligent Telerehabilitation Device for Postoperative Rehabilitation of Chronic Ankle Instability Using a Portable Integrated Sensors System and Few-Shot Learning Algorithm

Autoren: Haoxuan Liu Zhifei Xie Rui Guo et al.

Quelle: IEEE Transactions on Neural Systems and Rehabilitation Engineering. 34:416-425

Schlagwörter: Joint Instability, Male, Adult, Adolescent, Reproducibility of Results, Equipment Design, Middle Aged, Biomechanical Phenomena, Machine Learning, Wearable Electronic Devices, Young Adult, Chronic Disease, Humans, Female, Ankle Injuries, Gait, Algorithms, Ankle Joint, Telerehabilitation

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/41477808

Differentiating Type 1 and Type 2 myocardial infarction using a machine learning algorithm and biomarkers

Autoren: Anna, Snavely Laurel, Jackson Christian John, Hunter et al.

Quelle: The American Journal of Emergency Medicine. 98:50-56

Schlagwörter: Male, Galectin 3, Troponin I, Myocardial Infarction, Middle Aged, Peptide Fragments, Machine Learning, Diagnosis, Differential, ROC Curve, Natriuretic Peptide, Brain, Humans, Female, Prospective Studies, Biomarkers, Algorithms, Aged

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/40834835

Improving the performance of machine learning algorithms for detection of individual pests and beneficial insects using feature selection techniques

Autoren: Aminu, Rabiu Ljungberg, David Nasirahmadi, Abozar et al.

Weitere Verfasser: Aminu, Rabiu Ljungberg, David Nasirahmadi, Abozar et al.

Quelle: Artificial Intelligence in Agriculture. 15:377-394

Schlagwörter: Artificial Intelligence, Artificiell intelligens, Agricultural Science, Jordbruksvetenskap, Environmental Sciences and Nature Conservation, Miljö- och naturvårdsvetenskap

Zugangs-URL: https://res.slu.se/id/publ/141703
https://pub.epsilon.slu.se/id/eprint/37028/contents

XGBoost machine learning algorithm for predicting unplanned readmission in elderly patients with coronary heart disease.

Autoren: Song X Shi J Zhu C et al.

Quelle: Geriatric nursing (New York, N.Y.) [Geriatr Nurs] 2025 Nov-Dec; Vol. 66 (Pt B), pp. 103609. Date of Electronic Publication: 2025 Sep 12.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Mosby-Yearbook Country of Publication: United States NLM ID: 8309633 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1528-3984 (Electronic) Linking ISSN: 01974572 NLM ISO Abbreviation: Geriatr Nurs Subsets: MEDLINE

MeSH-Schlagworte: Patient Readmission*/statistics & numerical data , Coronary Disease*/therapy , Machine Learning* , Algorithms*, Length of Stay/statistics & numerical data ; Humans ; Male ; Aged ; Female ; Retrospective Studies ; Aged, 80 and over ; China ; ROC Curve ; Boosting Machine Learning Algorithms

Screening and selection of a machine learning algorithm for development of a model to select cows for clinical examination using data from automated health monitoring technologies and other predictors of cow health

Autoren: M.M. Perez E. Cabrera C. Rial et al.

Quelle: Journal of Dairy Science. 108:13720-13738

Schlagwörter: Machine Learning, Dairying, Milk, Animals, Lactation, Cattle, Female, Algorithms, Monitoring, Physiologic

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/41043704

Development and validation of stability prediction models for intracranial aneurysms based on ensemble learning algorithms.

Autoren: Huang J Kang H Turhon M et al.

Quelle: Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia [J Clin Neurosci] 2026 Jun; Vol. 148, pp. 111974. Date of Electronic Publication: 2026 Mar 17.

Publikationsart: Journal Article; Validation Study

Info zur Zeitschrift: Publisher: Churchill Livingstone Country of Publication: Scotland NLM ID: 9433352 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-2653 (Electronic) Linking ISSN: 09675868 NLM ISO Abbreviation: J Clin Neurosci Subsets: MEDLINE

MeSH-Schlagworte: Intracranial Aneurysm*/diagnostic imaging , Algorithms* , Machine Learning*, Humans ; Male ; Female ; Middle Aged ; Retrospective Studies ; Aged ; Angiography, Digital Subtraction ; Adult ; Computed Tomography Angiography ; Magnetic Resonance Angiography ; Ensemble Learning

A Machine-Learning Algorithm for the Automated Perceptual Evaluation of Dysphonia Severity

Autoren: Benjamin van der Woerd Zhuohao Chen Nikolaos Flemotomos et al.

Quelle: Journal of Voice. 39:1440-1445

Schlagwörter: Male, Adult, Observer Variation, Support Vector Machine, Databases, Factual, Voice Quality, Reproducibility of Results, Signal Processing, Computer-Assisted, Acoustics, Dysphonia, Severity of Illness Index, Speech Acoustics, Machine Learning, Judgment, Speech Production Measurement, Predictive Value of Tests, Speech Perception, Humans, Female, Algorithms

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/37429808

A multimodal approach to depression diagnosis: insights from machine learning algorithm development in primary care.

Autoren: Eder J Dong MS Wöhler M et al.

Körperschaften: Eder J Dong MS Wöhler M et al.

Quelle: European archives of psychiatry and clinical neuroscience [Eur Arch Psychiatry Clin Neurosci] 2026 Mar; Vol. 276 (2), pp. 407-420. Date of Electronic Publication: 2025 Mar 10.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Springer International Country of Publication: Germany NLM ID: 9103030 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1433-8491 (Electronic) Linking ISSN: 09401334 NLM ISO Abbreviation: Eur Arch Psychiatry Clin Neurosci Subsets: MEDLINE

MeSH-Schlagworte: Depression*/diagnosis , Depressive Disorder*/diagnosis , Machine Learning* , Primary Health Care* , Algorithms*, Humans ; Female ; Male ; Middle Aged ; Adult ; Aged

Retrospective detection of missed intra-cranial aneurysms on computed tomography angiography using a commercial deep learning algorithm

Autoren: Tamer, Sobeh Shai, Shrot Mati, Bakon et al.

Quelle: Neuroradiology. 67:3533-3541

Schlagwörter: Male, Adult, Missed Diagnosis, Computed Tomography Angiography, Intracranial Aneurysm, Middle Aged, Sensitivity and Specificity, Cerebral Angiography, Deep Learning, Humans, Radiographic Image Interpretation, Computer-Assisted, Female, Algorithms, Retrospective Studies, Aged

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/41091156

The Evolution of Machine Learning Algorithms and Their Contribution to Physical Activity Management.

Autoren: Messas K Exarchos T

Quelle: Advances in experimental medicine and biology [Adv Exp Med Biol] 2026; Vol. 1489, pp. 275-281.

Publikationsart: Journal Article; Review

Info zur Zeitschrift: Publisher: Kluwer Academic/Plenum Publishers Country of Publication: United States NLM ID: 0121103 Publication Model: Print Cited Medium: Print ISSN: 0065-2598 (Print) Linking ISSN: 00652598 NLM ISO Abbreviation: Adv Exp Med Biol Subsets: MEDLINE

MeSH-Schlagworte: Exercise*/physiology , Machine Learning* , Algorithms*, Humans

Machine learning algorithm for GPCR-A17 ligand action prediction: A Novel Approach to Drug Discovery

MACHINE LEARNING ALGORITHM FOR GPCR-A17 LIGAND ACTION PREDICTION: A Novel Approach to Drug Discovery

Autoren: Silva, Rodolfo Miguel Tavares da

Schlagwörter: GPCRs, Artificial Intelligence, Machine Learning, Deep Learning, Drug Discovery, Inteligência Artificial, Descoberta de Medicamentos

Verfügbarkeit: https://hdl.handle.net/10316/117960

Yoga practices effect on VCSS-based classification of patients with chronic venous insufficiency based on hybrid machine learning algorithms

Autoren: Changhong Pan Lu Qi Lili Zhao et al.

Quelle: International Journal of Cognitive Computing in Engineering, Vol 6, Iss, Pp 255-266 (2025)

Schlagwörter: Yoga practices, Venous clinical severity score, Decision Tree classifier, Electronic computers. Computer science, Science, Chronic venous insufficiency, QA75.5-76.95, Hybrid Machine Learning Algorithm

Zugangs-URL: https://doaj.org/article/094f4d3829df4bb496d23b86d20d4fbe

Development of a Machine Learning Algorithm-Based Predictive Model for Physical Activity Levels in Lung Cancer Survivors: A Cross-Sectional Study.

Autoren: Ma Q Wang R Mo M et al.

Quelle: Journal of clinical nursing [J Clin Nurs] 2026 Feb; Vol. 35 (2), pp. 719-728. Date of Electronic Publication: 2025 Jul 08.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Blackwell Scientific Publications Country of Publication: England NLM ID: 9207302 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1365-2702 (Electronic) Linking ISSN: 09621067 NLM ISO Abbreviation: J Clin Nurs Subsets: MEDLINE

MeSH-Schlagworte: Lung Neoplasms*/physiopathology , Lung Neoplasms*/psychology , Cancer Survivors*/psychology , Machine Learning* , Exercise* , Algorithms* , Survivors*, Humans ; Cross-Sectional Studies ; Male ; Female ; Middle Aged ; China ; Aged ; Surveys and Questionnaires ; Adult

QSVM-QNN: Quantum Support Vector Machine Based Quantum Neural Network Learning Algorithm for Brain–Computer Interfacing Systems

Autoren: Bikash K. Behera Saif Al-Kuwari Ahmed Farouk

Quelle: IEEE Transactions on Artificial Intelligence. 7:308-320

Schlagwörter: Signal Processing (eess.SP), FOS: Computer and information sciences, Quantum Physics, Computer Science - Machine Learning, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Physical sciences, Electrical Engineering and Systems Science - Signal Processing, Quantum Physics (quant-ph), Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2505.14192

Structural configuration of sustainable sports industry based on deep learning and genetic algorithm.

Autoren: Li Y Kim K Zhang L

Quelle: Scientific reports [Sci Rep] 2025 Dec 19; Vol. 16 (1), pp. 2951. Date of Electronic Publication: 2025 Dec 19.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

MeSH-Schlagworte: Sports*/economics , Deep Learning* , Algorithms* , Industry*, Humans ; Neural Networks, Computer ; United States ; Germany ; Genetic Algorithms

A proposal for a machine-learning algorithm for the prediction of seizure recurrence risk at 2 years after discontinuation of anti-seizure medications

Autoren: Contento, Margherita Bertaccini, Bruno Biggi, Martina et al.

Quelle: Seizure: European Journal of Epilepsy. 133:73-79

Schlagwörter: Male, Machine Learning, Adult, Young Adult, anti-epileptic drugs, ASM withdrawal, epilepsy, AED discontinuation, prediction models, Seizures, Recurrence, Humans, Anticonvulsants, Female, Middle Aged, Algorithms

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/41108890

Exploring the Feasibility of a Deep Learning Algorithm for Postoperative Outcome Assessment in Unilateral Cleft Lip Repair: A Pilot Study.

Autoren: Daiem M Fayyaz GQ Irfan S et al.

Quelle: The Journal of craniofacial surgery [J Craniofac Surg] 2026 Mar-Apr 01; Vol. 37 (3-4), pp. 767-773. Date of Electronic Publication: 2025 Nov 19.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 9010410 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1536-3732 (Electronic) Linking ISSN: 10492275 NLM ISO Abbreviation: J Craniofac Surg Subsets: MEDLINE

MeSH-Schlagworte: Cleft Lip*/surgery , Outcome Assessment, Health Care*/methods , Deep Learning* , Algorithms*, Humans ; Pilot Projects ; Feasibility Studies ; Infant ; Female ; Male ; Reoperation

uPVC-Net: A Universal Premature Ventricular Contraction Detection Deep Learning Algorithm

Autoren: Hagai Hamami Yosef Solewicz Daniel Zur et al.

Quelle: IEEE Transactions on Biomedical Engineering. :1-10

Schlagwörter: Machine Learning, Signal Processing (eess.SP), FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Artificial Intelligence, Signal Processing, FOS: Electrical engineering, electronic engineering, information engineering, 92C55, 92B20, I.2.6, J.3, Machine Learning (cs.LG)

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/41557574
http://arxiv.org/abs/2506.11238