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2كتاب
المؤلفون: Kaiser, Gerd, Nguyen-Dobinsky, Trong-Nghia
المصدر: Kerres, Michael [Hrsg.]; Voß, Britta [Hrsg.]: Digitaler Campus: Vom Medienprojekt zur nachhaltigen Mediennutzung auf dem Digitalen Campus. Münster ; New York ; München ; Berlin : Waxmann 2003, S. 305-314. - (Medien in der Wissenschaft; 24)
مصطلحات موضوعية: E-Learning, Medieneinsatz, Elektronisches Hilfsmittel, Neue Medien, Mediennutzung, Multimediales Lernen, Technologieunterstütztes Lernen, Multimediale Methode, Studium, Medizinische Ausbildung, Medizinische Diagnostik, Patient, Lehr-Lern-Forschung, Lehr-Lern-Prozess, Kooperatives Lernen, Kognitives Lernen, Virtual learning, Deployment of media, Use of media, New media, Utilisation of media, Utilization of media, Multimedia Approach, Technology uses in education, Multimedia method, Academic studies, Medical education, Medical Schools, Medical diagnostic, Teaching-learning research
وصف الملف: application/pdf
العلاقة: oai:www.pedocs.de-opus:12232; http://dx.doi.org/10.25656/01:12262Test; http://nbn-resolving.de/urn:nbn:de:0111-pedocs-122627Test; https://www.pedocs.de/volltexte/2016/12262Test/; https://www.pedocs.de/volltexte/2016/12262/pdf/Kaiser_Nguyen_Dobinsky_2003_Multimediale_interaktive_und_patientennahe_Lehrszenarien.pdfTest
الإتاحة: https://doi.org/10.25656/01:12262Test
http://nbn-resolving.de/urn:nbn:de:0111-pedocs-122627Test
https://www.pedocs.de/volltexte/2016/12262Test/
https://www.pedocs.de/volltexte/2016/12262/pdf/Kaiser_Nguyen_Dobinsky_2003_Multimediale_interaktive_und_patientennahe_Lehrszenarien.pdfTest -
3كتاب
المؤلفون: Khandoker, A, Begg, Rezaul
المساهمون: Syed, Mahbubur Rahman, Syed, Sharifun Nessa
مصطلحات موضوعية: Centre for Ageing, Rehabilitation, Exercise & Sport Science (CARES), 0903 Biomedical Engineering, 9204 Public Health (excl. Specific Population Health), ResPubID16075, machine learning techniques, medical diagnostic system, human gait pattern, sleep apnoea syndrome, signal processing techniques
العلاقة: https://vuir.vu.edu.au/6051Test/; Khandoker, A and Begg, Rezaul orcid:0000-0002-3195-8591 (2009) Machine Learning for Designing an Automated Medical Diagnostic System. In: Handbook of research on modern systems analysis and design technologies and applications. Syed, Mahbubur Rahman and Syed, Sharifun Nessa, eds. Information Science Reference, Hershey, Pa, USA, pp. 544-559.
الإتاحة: https://vuir.vu.edu.au/6051Test/
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4كتاب
المؤلفون: Thongkam, Jaree, Xu, Guandong, Zhang, Yanchun
مصطلحات موضوعية: 1117 Public Health and Health Services, 8903 Information Services, School of Engineering and Science, ResPubID14757, educational technologies, artificial intelligence, cancer, medical computing, sensitivity analysis, stability, prediction, predictive models, overfitting problems, data mining, decision trees, diseases, mathematics, medical diagnostic imaging, mathematical models, signal processing algorithms, support vector machines
العلاقة: https://vuir.vu.edu.au/5159Test/; Thongkam, Jaree, Xu, Guandong and Zhang, Yanchun (2008) AdaBoost Algorithm with Random Forests for Predicting Breast Cancer Survivability. In: IEEE International Joint Conference on Neural Networks, 2008 : IJCNN 2008 (IEEE World Congress on Computational Intelligence) : 1-8 June, 2008. IEEE, Piscataway, New Jersey, pp. 3062-3069.
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5كتاب
المؤلفون: Revett, K., Gorunescu, F., Gorunescu, M., Ene, M.
مصطلحات موضوعية: diseases learning (artificial intelligence) medical diagnostic computing neural nets probability rough set theory, gram stain, antibiotic treatment, automated diagnosis, bacterial meningitis, blood, cerebrospinal fluid, clinical dataset, dimensionality reduction, machine learning, probabilistic neural network, rough sets, viral meningitis
وصف الملف: application/pdf
العلاقة: https://westminsterresearch.westminster.ac.uk/download/5fd22a934113727f1fc5543838a80166bc5014c730c6f90cd263bb9a895bb5e9/243399/Revett,_Gorunescu,_Ene_2006_final.pdfTest; https://doi.org/10.1109/JVA.2006.2Test; Revett, K., Gorunescu, F., Gorunescu, M. and Ene, M. 2006. A machine learning approach to differentiating bacterial from viral meningitis. in: IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing (JVA'06) Los Alamitos, USA IEEE . pp. 155-162
الإتاحة: https://doi.org/10.1109/JVA.2006.2Test
https://westminsterresearch.westminster.ac.uk/item/92718/a-machine-learning-approach-to-differentiating-bacterial-from-viral-meningitisTest
https://westminsterresearch.westminster.ac.uk/download/5fd22a934113727f1fc5543838a80166bc5014c730c6f90cd263bb9a895bb5e9/243399/Revett,_Gorunescu,_Ene_2006_final.pdfTest
