Search Results - ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.8: Database Applications

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    1. American Heart Association. (2021). Heart disease and stroke statistics—2021 update. Circulation, 143(8), e254-e743. 2. Rahman, M., Al Amin, M., Hasan, R., Hossain, S. T., Rahman, M. H., & Rashed, R. A. M. (2025). A Predictive AI Framework for Cardiovascular Disease Screening in the US: Integrating EHR Data with Machine and Deep Learning Models. British Journal of Nursing Studies, 5(2), 40-48. 3. ZakirHossain, M., Khan, M. M., Thapa, S., Uddin, R., Meem, E. J., Niloy, S. K., ... & Bhavani, G. D. (2025, February). Advanced Deep Learning Techniques for Precision Diagnosis of Tea Leaf Diseases. In 2025 IEEE International Conference on Emerging Technologies and Applications (MPSec ICETA) (pp. 1-6). IEEE. 4. Chen, T., & Guestrin, C. (2016). XGBoost: A scalable tree boosting system. In Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining (pp. 785-794). ACM. 5. Damen, J. A., Hooft, L., Schuit, E., Debray, T. P., Collins, G. S., Tzoulaki, I., Lassale, C. M., Siontis, G. C., Chiocchia, V., Roberts, C., Schlüssel, M. M., Gerry, S., Black, J. A., Heus, P., van der Schouw, Y. T., Peelen, L. M., & Moons, K. G. (2016). Prediction models for cardiovascular disease risk in the general population: systematic review. BMJ, 353, i2416. 6. Framingham Heart Study. (1948). Framingham Heart Study cohort research data. National Heart, Lung, and Blood Institute. 7. Johnson, A. E., Pollard, T. J., Shen, L., Lehman, L. H., Feng, M., Ghassemi, M., Moody, B., Szolovits, P., Celi, L. A., & Mark, R. G. (2016). MIMIC-III, a freely accessible critical care database. Scientific Data, 3, 160035. 8. Krittanawong, C., Zhang, H., Wang, Z., Aydar, M., & Kitai, T. (2017). Artificial intelligence in precision cardiovascular medicine. Journal of the American College of Cardiology, 69(21), 2657-2664. 9. Lundberg, S. M., & Lee, S. I. (2017). A unified approach to interpreting model predictions. In Advances in Neural Information Processing Systems 30 (NIPS 2017) (pp. 4765-4774). 10. Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., & Duchesnay, É. (2011). Scikit-learn: Machine learning in Python. Journal of Machine Learning Research, 12, 2825–2830. 11. Shameer, K., Johnson, K. W., Glicksberg, B. S., Dudley, J. T., & Sengupta, P. P. (2018). Machine learning in cardiovascular medicine: are we there yet? Heart, 104(14), 1156-1164. 12. Steyerberg, E. W., Vergouwe, Y., & van Calster, B. (2019). Towards better clinical prediction models: seven steps for development and an ABCD for validation. European Heart Journal, 40(15), 1255–1264. 13. Sudlow, C., Gallacher, J., Allen, N., Beral, V., Burton, P., Danesh, J., Downey, P., Elliott, P., Green, J., Landray, M., Liu, B., Matthews, P., Ong, G., Pell, J., Silman, A., Young, A., Sprosen, T., Peakman, T., & Collins, R. (2015). UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLOS Medicine, 12(3), e1001779. 14. Weng, S. F., Reps, J., Kai, J., Garibaldi, J. M., & Qureshi, N. (2017). Can machine-learning improve cardiovascular risk prediction using routine clinical data? PLOS ONE, 12(4), e0174944. 15. World Health Organization. (2021). Cardiovascular diseases (CVDs). Retrieved from https://www.who.int/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds) 16. Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., Devin, M., Ghemawat, S., Irving, G., Isard, M., Kudlur, M., Levenberg, J., Monga, R., Moore, S., Murray, D. G., Steiner, B., Tucker, P., Vasudevan, V., Warden, P., ... Zheng, X. (2016). TensorFlow: A system for large-scale machine learning. In 12th USENIX symposium on operating systems design and implementation (OSDI 16) (pp. 265–283). 17. Chollet, F. (2015). Keras (Version 2.4.0) [Computer software]. https://github.com/fchollet/keras

    Authors: Okunola, Abiodun

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    Source: https://inria.hal.science/hal-00784379 ; Editions universitaires - Université de la Manouba. C&R : EDISCIENCES, 1, pp.332, 2012, SIIE : EDISCIENCES, Sahbi SIDHOM, 9978-9973868-19-0.

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    Source: https://hal.inria.fr/inria-00580162 ; Jean-Paul Haton and Sahbi Sidhom and Malek Ghenima. 1, IGA Morocco, pp.529, 2011, IGA Morocco.

    Relation: inria-00580162; https://hal.inria.fr/inria-00580162

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    Source: Actual Problems of the IT, Electronics and Radiotechnics ; https://hal.archives-ouvertes.fr/hal-02019255 ; Actual Problems of the IT, Electronics and Radiotechnics, South Federal University, Dec 2015, Taganrog, Russia. pp.79-81, ⟨10.6084/m9.figshare.7210292⟩

    Subject Terms: GIS Data Modelling, Database Management, Geodatabase, Database Design, GIS Geographic Information System, Data structures Computer Science, Data structures design and analysis, Data structure, Database Development, Database Management System, ACM: H.: Information Systems, ACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.8: Database Applications/H.2.8.4: Statistical databases, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.4: Systems, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.7: Database Administration, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.7: Database Administration/H.2.7.0: Data dictionary/directory, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.8: Database Applications, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.8: Database Applications/H.2.8.0: Data mining, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.8: Database Applications/H.2.8.3: Spatial databases and GIS, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.8: Database Applications/H.2.8.2: Scientific databases, [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], [INFO]Computer Science [cs], [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO]

    Subject Geographic: Taganrog, Russia

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    Source: Future Generation: Ideas of the Young Scientists ; https://hal.archives-ouvertes.fr/hal-02018891 ; Future Generation: Ideas of the Young Scientists, South West State University, Nov 2015, Kursk, Russia. pp.243-246, ⟨10.6084/m9.figshare.7210937⟩ ; https://elibrary.ru/item.asp?id=24992480

    Subject Terms: GIS Geographic Information System, Geodata spatialization, Geodata discovery, Geodatabase, Marine ecology, GIS Data Modelling, ACM: H.: Information Systems, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.8: Database Applications/H.2.8.0: Data mining, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.8: Database Applications/H.2.8.2: Scientific databases, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.8: Database Applications/H.2.8.3: Spatial databases and GIS, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.8: Database Applications/H.2.8.4: Statistical databases, ACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL, ACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL/H.3.1: Content Analysis and Indexing, ACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL/H.3.2: Information Storage, ACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL/H.3.3: Information Search and Retrieval, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.0: General, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.7: Database Administration, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.8: Database Applications, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.7: Database Administration/H.2.7.0: Data dictionary/directory, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography, [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology, [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], [INFO.INFO-DL]Computer Science [cs]/Digital Libraries [cs.DL]

    Subject Geographic: Kursk, Russia

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    Source: NooJ 2013 International Conference ; https://inria.hal.science/hal-00927180 ; NooJ 2013 International Conference, The Language Technology Lab of the German Research Center for Artificial Intelligence (DFKI GmbH), Jun 2013, Saarbrücken, Germany

    Subject Geographic: Saarbrücken, Germany

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    Source: Proc.14th Int'l Conf. KnAGTU Press. isbn: 978-5-7765-1242-1 ; Problems of Ecology and Safety. Dalnevostochnaja Vesna - 2016 ; https://hal.archives-ouvertes.fr/hal-01986699 ; Problems of Ecology and Safety. Dalnevostochnaja Vesna - 2016, Komsomolsk-on-Amur State Technical University, Apr 2016, Komsomolsk-on-Amur, Russia. pp.29-31, ⟨10.6084/m9.figshare.7210226⟩

    Subject Terms: Database Management System, Database Applications, SIG et modélisation spatiale, GIS, Spatial analysis, Environmental assessment, SIG Systèmes d'information géographique, SIG et aménagement, ACM: H.: Information Systems, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT, ACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL/H.3.2: Information Storage, ACM: K.: Computing Milieux, ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION, ACM: K.: Computing Milieux/K.4: COMPUTERS AND SOCIETY, ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION/K.3.1: Computer Uses in Education, ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION/K.3.2: Computer and Information Science Education, ACM: H.: Information Systems/H.4: INFORMATION SYSTEMS APPLICATIONS, ACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.7: Database Administration, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.4: Systems, ACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL/H.3.3: Information Search and Retrieval, [SDE]Environmental Sciences, [SDE.ES]Environmental Sciences/Environmental and Society, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [SDE.IE]Environmental Sciences/Environmental Engineering, [INFO.EIAH]Computer Science [cs]/Technology for Human Learning, [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]

    Subject Geographic: Komsomolsk-on-Amur, Russia

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    Source: ISSN: 2001-015X ; Journal of Intelligence Studies in Business ; https://inria.hal.science/hal-00783286 ; Journal of Intelligence Studies in Business, 2011, Journal of Intelligence Studies in Business, 1 (1), pp.40-48 ; https://ojs.hh.se/index.php/JISIB/article/view/13/pdf.

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    Source: Collecte, filtrage et veille aujourd'hui ; https://inria.hal.science/hal-01255394 ; Université Jean Moulin Lyon3. Mabrouka EL HACHANI (Edt.). Collecte, filtrage et veille aujourd'hui, Jan 2015, Lyon, France. , 2015 ; http://facdeslettres.univ-lyon3.fr/collecte-filtrage-et-veille-aujourd-hui-908047.kjsp?RH=1405931635005

    Subject Geographic: Lyon, France

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    Source: 54th International Scientific Conference ’Environmental and Climate Technologies’
    https://hal.archives-ouvertes.fr/hal-01972871
    54th International Scientific Conference ’Environmental and Climate Technologies’, Oct 2013, Riga, Latvia. 2013, ⟨10.6084/m9.figshare.7435400.v1⟩

    Subject Geographic: Riga, Latvia