Treffer 61 - 80 von 920

Physical Exam, Static & Dynamic Ultrasound Assessment, & Treatment of Thoracolumbar Fascia (TLF) Mediated Low Back Pain
Virginia Polytechnic Institute and State University ; Albert Kozar, Professor of Osteopathic Manipulative Medicine (OMM), Department of Sports Medicine
Machine Learning Analysis of Ultrasound Images for the Investigation of Thoracolumbar Myofascial Pain and Therapeutic Efficacy of Hydrodissection (DoD) and Osteopathic Manipulative Treatment (AOA) for Thoracolumbar Fascia Glide Impairment
Langevin HM, Fox JR, Koptiuch C, Badger GJ, Greenan-Naumann AC, Bouffard NA, Konofagou EE, Lee WN, Triano JJ, Henry SM. Reduced thoracolumbar fascia shear strain in human chronic low back pain. BMC Musculoskelet Disord. 2011 Sep 19;12:203. doi: 10.1186/1471-2474-12-203.

Machine-Learning Based EEG Biomarkers for Personalized Interventions (EEG-INSIGHT)
Castellers de la Vila de Gràcia ; Dolors Soler, PhD, Principal Investigator
Machine-Learning Based EEG Biomarkers for Personalized Interventions
Gewandter JS, McDermott MP, Evans S, Katz NP, Markman JD, Simon LS, Turk DC, Dworkin RH. Composite outcomes for pain clinical trials: considerations for design and interpretation. Pain. 2021 Jul 1;162(7):1899-1905. doi: 10.1097/j.pain.0000000000002188. No abstract available.
Bikson M, Grossman P, Thomas C, Zannou AL, Jiang J, Adnan T, Mourdoukoutas AP, Kronberg G, Truong D, Boggio P, Brunoni AR, Charvet L, Fregni F, Fritsch B, Gillick B, Hamilton RH, Hampstead BM, Jankord R, Kirton A, Knotkova H, Liebetanz D, Liu A, Loo C, Nitsche MA, Reis J, Richardson JD, Rotenberg A, Turkeltaub PE, Woods AJ. Safety of Transcranial Direct Current Stimulation: Evidence Based Update 2016. Brain Stimul. 2016 Sep-Oct;9(5):641-661. doi: 10.1016/j.brs.2016.06.004. Epub 2016 Jun 15.
Zhdanov A, Atluri S, Wong W, Vaghei Y, Daskalakis ZJ, Blumberger DM, Frey BN, Giacobbe P, Lam RW, Milev R, Mueller DJ, Turecki G, Parikh SV, Rotzinger S, Soares CN, Brenner CA, Vila-Rodriguez F, McAndrews MP, Kleffner K, Alonso-Prieto E, Arnott SR, Foster JA, Strother SC, Uher R, Kennedy SH, Farzan F. Use of Machine Learning for Predicting Escitalopram Treatment Outcome From Electroencephalography Recordings in Adult Patients With Depression. JAMA Netw Open. 2020 Jan 3;3(1):e1918377. doi: 10.1001/jamanetworkopen.2019.18377.
Vuckovic A, Gallardo VJF, Jarjees M, Fraser M, Purcell M. Prediction of central neuropathic pain in spinal cord injury based on EEG classifier. Clin Neurophysiol. 2018 Aug;129(8):1605-1617. doi: 10.1016/j.clinph.2018.04.750. Epub 2018 May 23.
Mussigmann T, Bardel B, Lefaucheur JP. Resting-state electroencephalography (EEG) biomarkers of chronic neuropathic pain. A systematic review. Neuroimage. 2022 Sep;258:119351. doi: 10.1016/j.neuroimage.2022.119351. Epub 2022 Jun 2.
Mari T, Henderson J, Maden M, Nevitt S, Duarte R, Fallon N. Systematic Review of the Effectiveness of Machine Learning Algorithms for Classifying Pain Intensity, Phenotype or Treatment Outcomes Using Electroencephalogram Data. J Pain. 2022 Mar;23(3):349-369. doi: 10.1016/j.jpain.2021.07.011. Epub 2021 Aug 21.

Learning Machine Learning with a Game.
Lürig, Christoph
Proceedings of the European Conference on Games Based Learning. 2022, p316-323. 8p.

A supervised machine learning approach using naive Gaussian Bayes classification for shape-sensitive detector pulse discrimination in positron annihilation lifetime spectroscopy (PALS).
Petschke, Danny ; Staab, Torsten E.M.
Nuclear Instruments & Methods in Physics Research Section A. Dec2019, Vol. 947, pN.PAG-N.PAG. 1p.

Diagnostic Innovations for Pediatric Tuberculosis in Bolivia
Asociacion Benefica Prisma ; Universidad Peruana Cayetano Heredia ; Johns Hopkins Bloomberg School of Public Health ; et al.
Diagnostic Innovations for Pediatric Tuberculosis in Bolivia

Spatial and Temporal Characterization of Gliomas Using Radiomic Analysis (GLIO-RAD)
Indian Statistical Institute, Kolkata ; Dr Archya Dasgupta, Assistant Professor, Radiation Oncology
Spatial and Temporal Characterization of Gliomas Using Radiomic Analysis

MAFSIDS: a reinforcement learning-based intrusion detection model for multi-agent feature selection networks
Kezhou Ren ; Yifan Zeng ; Yuanfu Zhong ; et al.
Journal of Big Data, Vol 10, Iss 1, Pp 1-30 (2023)

Machine-based Algorithm for Increased Physical Activity and Sustained User Engagement
Machine-based Algorithm for Adjusting Activity Targets to Increase Physical Activity and Sustain User Engagement Among Telus Wellbeing Users
Michie S, van Stralen MM, West R. The behaviour change wheel: a new method for characterising and designing behaviour change interventions. Implement Sci. 2011 Apr 23;6:42. doi: 10.1186/1748-5908-6-42.
Mitchell MS, Orstad SL, Biswas A, Oh PI, Jay M, Pakosh MT, Faulkner G. Financial incentives for physical activity in adults: systematic review and meta-analysis. Br J Sports Med. 2020 Nov;54(21):1259-1268. doi: 10.1136/bjsports-2019-100633. Epub 2019 May 15.
Armijo-Olivo S, Stiles CR, Hagen NA, Biondo PD, Cummings GG. Assessment of study quality for systematic reviews: a comparison of the Cochrane Collaboration Risk of Bias Tool and the Effective Public Health Practice Project Quality Assessment Tool: methodological research. J Eval Clin Pract. 2012 Feb;18(1):12-8. doi: 10.1111/j.1365-2753.2010.01516.x. Epub 2010 Aug 4.

Graph-based contributions to machine-learning
Contributions à base de graphes à l'apprentissage automatique
Lutz, Quentin ; Laboratoire Traitement et Communication de l'Information (LTCI) ; Institut Mines-Télécom [Paris] (IMT)-Télécom Paris ; et al.
Data Structures and Algorithms [cs.DS]. Institut Polytechnique de Paris, 2022. English. ⟨NNT : 2022IPPAT010⟩

Bottom-up iterative anomalous diffusion detector (BI-ADD)
Junwoo Park ; Nataliya Sokolovska ; Clément Cabriel ; et al.
JPhys Photonics, Vol 7, Iss 4, p 045027 (2025)

SB-PdM: A tool for predictive maintenance of rolling bearings based on limited labeled data
Aburakhia, Sulaiman ; Shami, Abdallah
In Software Impacts May 2023 16

Artificial Intelligence for Computational Remote Sensing: Quantifying Patterns of Land Cover Types Around Cheetham Wetlands, Port Phillip Bay, Australia
Lemenkova, Polina ; Paris-Lodron-Universität Salzburg = Paris-Lodron-University of Salzburg (PLUS) ; Alma Mater Studiorum Università di Bologna = University of Bologna (UNIBO)
Journal of Marine Science and Engineering. 12(8):1279-1279

Machine learning technique for morphological classification of galaxies from the SDSS. I. Photometry-based approach
Vavilova, I. B. ; Dobrycheva, D. V. ; Vasylenko, M. Yu. ; et al.
A&A 648, A122 (2021)

Shared Data and Algorithms for Deep Learning in Fundamental Physics
Benato, Lisa ; Buhmann, Erik ; Erdmann, Martin ; et al.
Computing and Software for Big Science. 6(1)

SelfEEG: A Python library for Self-Supervised Learning in Electroencephalography
Del Pup, Federico ; Zanola, Andrea ; Tshimanga, Louis Fabrice ; et al.
Journal of Open Source Software (2024), 9(95), 6224

Machine learning-based prediction of optimal antenatal care utilization among reproductive women in Nigeria
Sani, Jamilu ; Oluwagbemiga, Adeyemi ; Ahmed, Mohamed Mustaf
In Machine Learning with Applications September 2025 21

SuSi: Supervised Self-Organizing Maps for Regression and Classification in Python
Riese, Felix M. ; Keller, Sina

A spatiotemporal risk prediction of wildlife-vehicle collisions using machine learning for dynamic warnings
Pagany, Raphaela
In Journal of Safety Research December 2022 83:269-281

Optimizing Coverage-Driven Verification Using Machine Learning and PyUVM: A Novel Approach
Kumari, Suruchi ; Gadde, Deepak Narayan ; Kumar, Aman

Chapter 1 - Overview of artificial intelligence methods and data analysis techniques suitable for subsurface datasets
Wood, David A.
In Implementation and Interpretation of Machine and Deep Learning to Applied Subsurface Geological Problems 2025:1-42