Search Results - acm: j.: computer applications/j.7: computers in other system~

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

ACM MODEL HIGH SCHOOL COMPUTER SCIENCE CURRICULUM.

Source: Communications of the ACM; May93, Vol. 36 Issue 5, p87-90, 4p

Subject Terms: COMPUTER science, CURRICULUM, EDUCATIONAL technology, COMPUTER assisted instruction, COMPUTERS, UNITED States education system

Geographic Terms: UNITED States

Automatic Computer Morphometry (ACM) System Techniques and Applications in Medical Diagnosis

Authors: Yung-Nien Sun Ming-Huwi Horng Xi-Zhang Lin

Source: Computational Methods in Biophysics, Biomaterials, Biotechnology and Medical Systems ISBN: 9781402071102

Automatic Computer Morphometry (ACM) System Techniques and Applications in Medical Diagnosis

Inverse reinforcement learning to control a robotic arm using a Brain-Computer Interface

Authors: Bougrain, Laurent Duvinage, Matthieu Klein, Edouard et al.

Contributors: Bougrain, Laurent Duvinage, Matthieu Klein, Edouard et al.

Source: [Research Report] 2012

Subject Terms: ACM: H.: Information Systems/H.5: INFORMATION INTERFACES AND PRESENTATION (e.g, [SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, ACM: J.: Computer Applications/J.3: LIFE AND MEDICAL SCIENCES, HCI)/H.5.2: User Interfaces/H.5.2.4: Graphical user interfaces (GUI), [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Robotic arm, ACM: H.: Information Systems/H.5: INFORMATION INTERFACES AND PRESENTATION (e.g., HCI)/H.5.2: User Interfaces/H.5.2.4: Graphical user interfaces (GUI), Inverse reinforcement learning, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Motor imaginary, [SDV.IB]Life Sciences [q-bio]/Bioengineering, [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.9: Robotics/I.2.9.1: Commercial robots and applications, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Brain- Computer Interfaces, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning

Access URL: https://inria.hal.science/hal-00924653
https://inria.hal.science/hal-00924653v1/file/eINTERFACE12-ArmBand-report.pdf
https://inria.hal.science/hal-00924653v1/document

COMPUTERS IN SCHOOLS: PAST, PRESENT, AND HOW WE CAN CHANGE THE FUTURE.

Source: Communications of the ACM; May93, Vol. 36 Issue 5, p84-87, 4p

Subject Terms: COMPUTER systems, UNITED States education system, EDUCATIONAL technology, EDUCATIONAL innovations, COMPUTER programmers

Geographic Terms: UNITED States

MAKING USABLE, USEFUL, PRODUCTIVITY: ENHANCING COMPUTER APPLICATIONS.

Authors: Gould, John D. Boies, Stephen J. Lewis, Clayton

Source: Communications of the ACM; Jan1991, Vol. 34 Issue 1, p74-85, 12p, 3 Diagrams, 2 Charts, 1 Graph

Subject Terms: COMPUTER software development, SOFTWARE engineering, SOFTWARE productivity, END-user computing, COMPUTER science

Computers and Urban Society.

Authors: Sturman, Gerald M.

Source: Communications of the ACM; Jul1972, Vol. 15 Issue 7, p652-657, 6p, 1 Diagram

Subject Terms: URBAN sociology, COMPUTERS & civilization, URBAN life, COMPUTER programmers, SYSTEM analysis, URBANIZATION, SYSTEMS design, HUMAN-machine systems, COMPUTER users

ACM and the Proposed Computer Foundation.

Authors: Ralston, Anthony

Source: Communications of the ACM; Apr1973, Vol. 16 Issue 4, p197-198, 2p

Subject Terms: ASSOCIATIONS, institutions, etc., COMPUTERS, BUSINESS networks, MACHINERY, ENDOWMENTS

Company/Entity: ASSOCIATION for Computing Machinery

ACM REFERENCE GUIDES.

Source: Communications of the ACM; Mar1970, Vol. 13 Issue 3, p199-200, 2p

Subject Terms: ASSOCIATIONS, institutions, etc., COMPUTER industry, SPECIAL interest groups (Associations), COMMITTEES, ARTIFICIAL intelligence, DATA transmission systems

Company/Entity: ASSOCIATION for Computing Machinery

The Computing Profession.

Authors: Denning, Peter J.

Source: Communications of the ACM; Mar2018, Vol. 61 Issue 3, p33-35, 3p, 1 Color Photograph, 2 Charts

Subject Terms: COMPUTER science, COMPUTER science education, PROFESSIONALIZATION, SOCIETIES

Company/Entity: ASSOCIATION for Computing Machinery, IEEE Computer Society

ACM 70 to Face User Problems of the 70's.

Source: Communications of the ACM; Jul1970, Vol. 13 Issue 7, p396-401, 6p

Subject Terms: CONFERENCES & conventions, COMPUTERS, ELECTRONIC data processing, TECHNOLOGY

Geographic Terms: UNITED States

Company/Entity: ASSOCIATION for Computing Machinery

ACM SIGCOMM computer communication review

Authors: Mischa Schwartz Andrew T. Campbell

Source: ACM SIGCOMM Computer Communication Review. 31:20-24

Subject Terms: 0301 basic medicine, 0303 health sciences, 03 medical and health sciences, 9. Industry and infrastructure, 11. Sustainability, 7. Clean energy

Access URL: https://dl.acm.org/doi/10.1145/1037107.1037111
https://dblp.uni-trier.de/db/journals/ccr/ccr31.html#CampbellS01

Information Science in a Ph.D. Computer Science Program.

Authors: Salton, G.

Source: Communications of the ACM; Feb1969, Vol. 12 Issue 2, p111-117, 7p

Subject Terms: INFORMATION science education, INFORMATION organization, COMPUTER programming, EDUCATION, INFORMATION resources, COMPUTER science

"Impact of Computer Applications on Undergraduate Mathematics Instruction" Explored at Florida State-ACM-SIAM Symposium.

Authors: Marzocco, Frank N.

Source: Communications of the ACM; May66, Vol. 9 Issue 5, p388-389, 2p

Subject Terms: CONFERENCES & conventions, AUTOMATION, COMPUTER training

Geographic Terms: FLORIDA

People: MILES, E. P., GOLDSTINE, Herman H. (Herman Heine), 1913-2004, GIVENS, Wallace

Status of Computer Science Education in Secondary Schools: One State'sPerspective.

Authors: Deek, Fadi P. Kimmel, Howard

Source: Computer Science Education; Aug99, Vol. 9 Issue 2, p089, 25p

Subject Terms: COMPUTER science, SECONDARY education

Geographic Terms: NEW Jersey, UNITED States

A Survey of Computer Science Offerings In Small Liberal Arts Colleges.

Authors: Lopez, A. A. Raymond, Robert Tardiff, Robert

Source: Communications of the ACM; Dec1977, Vol. 20 Issue 12, p902-906, 5p, 2 Charts, 2 Graphs

Subject Terms: COLLEGE curriculum, CURRICULUM, COMPUTER science, HUMANISTIC education, COMPUTER programming, ALGORITHMS

ACM 69 Special Features.

Source: Communications of the ACM; Aug1969, Vol. 12 Issue 8, p422-424, 3p

Subject Terms: CONFERENCES & conventions, MEETINGS, SCIENCE & industry, COMPUTER training, ELECTRONIC data processing, SOCIAL interaction

Geographic Terms: UNITED States

Company/Entity: ASSOCIATION for Computing Machinery

A study of queueing networks with deterministic service and applications to computer networks: A study of queueing networks with deterministic service and application to computer networks

Authors: G. Pujolle J. Labetoulle

Source: Proceedings of the 1976 ACM SIGMETRICS conference on Computer performance modeling measurement and evaluation - SIGMETRICS '76. :230-240

Subject Terms: Deterministic scheduling theory in operations research, 11. Sustainability, 0211 other engineering and technologies, Formal languages and automata, 0102 computer and information sciences, 02 engineering and technology, 7. Clean energy, 01 natural sciences, Queueing theory (aspects of probability theory), 12. Responsible consumption

File Description: application/xml

Access URL: https://zbmath.org/3545177
https://doi.org/10.1007/bf00265770
https://dblp.uni-trier.de/db/journals/acta/acta7.html#LabetoulleP76
https://link.springer.com/article/10.1007/BF00265770
https://dblp.uni-trier.de/db/conf/sigmetrics/sigmetrics1976.html#LabetoulleP76
https://dl.acm.org/doi/10.1145/800200.806199
https://link.springer.com/article/10.1007/BF00265770

Computer Society Announces Award Winners.

Source: Computer (00189162); Jun2010, Vol. 43 Issue 6, p72-73, 2p

Subject Terms: AWARDS, COMPUTER engineers

People: DALLY, WIlliam J., HAN, Jiawei, KING, Willis