المؤلفون: Park, Y, Hügel, J, Beyer, N, Rheinländer, S, Chereda, H, Fricke, L, Middeke, M, Reichert, M, Buchholz, M, Lauth, M, Schneider, G, Hessmann, E, Beißbarth, T, Sax, U, Hauschild, AC

المصدر: 68. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS); 20230917-20230921; Heilbronn; DOCAbstr. 334 /20230915/

مصطلحات موضوعية: Federated Learning, Cancer Diagnostics, Explainable AI, Pancreas Cancer, Clinical Information Models, ddc: 610

العلاقة: Beinecke JM, Anders P, Schurrat T, Heider D, Luster M, Librizzi D, Hauschild AC. Evaluation of machine learning strategies for imaging confirmed prostate cancer recurrence prediction on electronic health records. Computers in Biology and Medicine. 2022 Apr 1;143:105263.; Fatima M, Pasha M. Survey of machine learning algorithms for disease diagnostic. Journal of Intelligent Learning Systems and Applications. 2017;9(01):1.; Hauschild AC, Lemanczyk M, Matschinske J, Frisch T, Zolotareva O, Holzinger A, Baumbach J, Heider D. Federated Random Forests can improve local performance of predictive models for various healthcare applications. Bioinformatics. 2022 Apr 15;38(8):2278-86.; Hupfer A, Brichkina A, Koeniger A, Keber C, Denkert C, Pfefferle P, Helmprobst F, Pagenstecher A, Visekruna A, Lauth M. Matrix stiffness drives stromal autophagy and promotes formation of a protumorigenic niche. Proceedings of the National Academy of Sciences. 2021 Oct 5;118(40):e2105367118.; Yang Q, Liu Y, Chen T, Tong Y. Federated machine learning: Concept and applications. ACM Transactions on Intelligent Systems and Technology (TIST). 2019 Jan 28;10(2):1-9.; http://dx.doi.org/10.3205/23gmds006Test; http://nbn-resolving.de/urn:nbn:de:0183-23gmds0069Test; http://www.egms.de/en/meetings/gmds2023/23gmds006.shtmlTest

الإتاحة: https://doi.org/10.3205/23gmds006Test
http://nbn-resolving.de/urn:nbn:de:0183-23gmds0069Test
http://www.egms.de/en/meetings/gmds2023/23gmds006.shtmlTest

المؤلفون: Schepens, Maike H.J., Trompert, Annemarie C., van Hooff, Miranda L., van der Velde, Erik, Kallewaard, Marjon, Verberk-Jonkers, Iris J.A.M., Cense, Huib A., Somford, Diederik M., Repping, Sjoerd, Tromp, Selma C., Wouters, Michel W.J.M.

المصدر: Schepens , M H J , Trompert , A C , van Hooff , M L , van der Velde , E , Kallewaard , M , Verberk-Jonkers , I J A M , Cense , H A , Somford , D M , Repping , S , Tromp , S C & Wouters , M W J M 2022 , ' Using Existing Clinical Information Models for Dutch Quality Registries to Reuse Data and Follow COUMT Paradigm ' , Applied Clinical Informatics , vol. 14 , no. 2 , pp. 326-336 . https://doi.org/10.1055/s-0043-1767681Test

مصطلحات موضوعية: administrative burden, clinical information models, data reuse, electronic health record, FAIR, interoperability, national quality registries, secondary use

وصف الملف: application/pdf

العلاقة: https://research.rug.nl/en/publications/a40faa1a-5ae3-4fd2-8e7f-0b8b0335c889Test

الإتاحة: https://doi.org/10.1055/s-0043-1767681Test
https://hdl.handle.net/11370/a40faa1a-5ae3-4fd2-8e7f-0b8b0335c889Test
https://research.rug.nl/en/publications/a40faa1a-5ae3-4fd2-8e7f-0b8b0335c889Test
https://pure.rug.nl/ws/files/697561805/s-0043-1767681.pdfTest
http://www.scopus.com/inward/record.url?scp=85159548170&partnerID=8YFLogxKTest

المؤلفون: Schepens, Maike H. J., Trompert, Annemarie C., van Hooff, Miranda L., van der Velde, Erik, Kallewaard, Marjon, Verberk-Jonkers, Iris J. A. M., Cense, Huib A., Somford, Diederik M., Repping, Sjoerd, Tromp, Selma C., Wouters, Michel W. J. M.

المساهمون: Center for Reproductive Medicine, APH - Personalized Medicine, ARD - Amsterdam Reproduction and Development

المصدر: Applied clinical informatics, 14(2), 326-336. Schattauer GmbH
Applied Clinical Informatics, 14, 326-336
Applied Clinical Informatics, 14, 02, pp. 326-336

مصطلحات موضوعية: Reconstructive and regenerative medicine Radboud Institute for Health Sciences [Radboudumc 10], All institutes and research themes of the Radboud University Medical Center, Health Information Management, national quality registries, secondary use, data reuse, interoperability, Health Informatics, electronic health record, administrative burden, clinical information models, FAIR, Computer Science Applications

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc2463c4a181bbc1d8c51a082cd24b72Test
https://doi.org/10.1055/s-0043-1767681Test

المؤلفون: Demski, Hans, Garde, Sebastian, Hildebrand, Claudia

المصدر: BMC Medical Informatics and Decision Making 16(1) 137

مصطلحات موضوعية: Clinical information models, Electronic health record, Model-driven engineering, Open data models, openEHR, Semantic interoperability

العلاقة: info:eu-repo/grantAgreement/EC/FP7/288209/; https://zenodo.org/communities/ecfundedTest; https://zenodo.org/communities/fp7-bmcTest; https://zenodo.org/record/162827Test; https://doi.org/10.1186/s12911-016-0376-2Test; oai:zenodo.org:162827

الإتاحة: https://doi.org/10.1186/s12911-016-0376-2Test
https://zenodo.org/record/162827Test

المؤلفون: David Novillo-Ortiz, Elsa Negro-Calduch, Ramesh Krishnamurthy, Natasha Azzopardi-Muscat

المصدر: International Journal of Medical Informatics

مصطلحات موضوعية: Artificial intelligence, Technology, 020205 medical informatics, Computer science, AMSTAR, Assessment of Multiple Systematic Reviews, Interoperability, 02 engineering and technology, Review Article, Health informatics, IE, Information Extraction, 0302 clinical medicine, Health care, 0202 electrical engineering, electronic engineering, information engineering, Electronic Health Records, 030212 general & internal medicine, EHR, Electronic Health Record, PoW, Proof of Work, HiTEX, Health Information Text Extraction, UMLS, Unified Medical Language System, WPM, words per minute, IoT, Internet of Things, CIMI, Clinical Information Modelling Initiative, Unstructured data, LSTM, long short-term memory model, SNOMED-CT, Systemized Nomenclature for Medicine Clinical Terms, Systematic review, Health Records, Personal, Medical informatics, Phenotyping, FHIR, Fast Healthcare Interoperability Resources, PRISMA, Preferred Reporting Items for Systematic Reviews and Meta-Analyses, LOINC, Logical Observation Identifiers Names and Codes, SVM, Support Vector Machines, HL7, Health Level 7, Health Informatics, WHO, World Health Organization, 03 medical and health sciences, Blockchain, eHealth, Humans, CA, Certificate Authority, HGD, Healthcare Data Gateway, ML, machine learning, OBO, Open Biological and Biomedical Foundry adopted Symptom Ontology, PHR, personal health record, business.industry, CIM, Clinical Information Models, DL, Deep Learning, IHE, Integrating the Healthcare Enterprise, MedLEE, Medical Extraction and Encoding, Natural language processing, Digital transformation, Secondary research, Deep learning, Data science, pBFT, Practical Byzantine Fault Tolerance, ISO, International Organization for Standardization, NLP, natural language processing, PheWAS, Phenome-Wide Association Studies, business, cTAKES, clinical Text Analysis and Knowledge Extraction System, NLTK, Natural Language Toolkit, Systematic Reviews as Topic

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d7d5e31ed3f94803df3ba26c4e61205Test
http://europepmc.org/articles/PMC8223493Test