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  1. 4621
    “…METHODS: A systematic literature search was conducted using Medline, Scopus, CINAHL, Cochrane Library, ACM Digital Library, IEEE Xplore, the Collection of Computer Science Bibliographies, GeroLit and CareLit. In addition, project websites were manually screened for relevant publications. …”
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    Digital technology and nursing care: a scoping review on acceptance, effectiveness and efficiency studies of informal and formal care technologies
  2. 4622
    “…RESULTS: Publication rates have continuously increased across time periods with principal topics shifting from an emphasis on computer science and psychology to rehabilitation and public health. …”
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    Tracking the evolution of virtual reality applications to rehabilitation as a field of study
  3. 4623
    “…The majority agreed medical AI courses should be set as major elective (42.82%) during undergraduate stages (89.58%) involving medical and computer science contents. An overwhelming majority of respondents (>80%) acknowledged the potential roles of medical AI teaching. …”
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    Attitudes towards medical artificial intelligence talent cultivation: an online survey study
  4. 4624
    “…With the booming of computer science and artificial intelligence (AI), previous literature has reported the application of radiomics based on cardiac magnetic resonance imaging, cardiac computed tomography and TTE in diagnosing several myocardial abnormalities, such as myocardial infarction, myocarditis, cardiac amyloidosis, and hypertrophic cardiomyopathy (HCM). …”
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    Artificial intelligence-based myocardial texture analysis in etiological differentiation of left ventricular hypertrophy
  5. 4625
    “…Conclusions: The interdisciplinary research encompassing psychology, human movement sciences, computer science, and artificial intelligence has led to a theoretically and empirically driven leisure time PA application. …”
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    The Design and Development of a Personalized Leisure Time Physical Activity Application Based on Behavior Change Theories, End-User Perceptions, and Principles From Empirical Data Mining
  6. 4626
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    20 GB in 10 minutes: a case for linking major biodiversity databases using an open socio-technical infrastructure and a pragmatic, cross-institutional collaboration
  7. 4627
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    Online Artículo Texto
    Interval Coded Scoring: a toolbox for interpretable scoring systems
  8. 4628
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    Online Artículo Texto
    Automated language essay scoring systems: a literature review
  9. 4629
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    Image-based effective feature generation for protein structural class and ligand binding prediction
  10. 4630
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    Online Artículo Texto
    Temporal constrained objects for modelling neuronal dynamics
  11. 4631
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    A novel perceptual two layer image fusion using deep learning for imbalanced COVID-19 dataset
  12. 4632
    “…Though several deep learning approaches were developed to assist in CT analysis, nobody considered study triage directly as a computer science problem. We describe two basic setups: Identification of COVID-19 to prioritize studies of potentially infected patients to isolate them as early as possible; Severity quantification to highlight patients with severe COVID-19, thus direct them to a hospital or provide emergency medical care. …”
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    CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification
  13. 4633
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    A novel deep autoencoder based survival analysis approach for microarray dataset
  14. 4634
    por Alhudhaif, Adi
    Publicado 2021
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    Online Artículo Texto
    A novel multi-class imbalanced EEG signals classification based on the adaptive synthetic sampling (ADASYN) approach
  15. 4635
    por Ocasio, Ethan, Duong, Tim Q.
    Publicado 2021
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    Online Artículo Texto
    Deep learning prediction of mild cognitive impairment conversion to Alzheimer’s disease at 3 years after diagnosis using longitudinal and whole-brain 3D MRI
  16. 4636
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    An ensemble machine learning model based on multiple filtering and supervised attribute clustering algorithm for classifying cancer samples
  17. 4637
    “…Network pharmacology is the result of integrating basic theories and research methods of medicine, biology, computer science, bioinformatics, and other disciplines, which can systematically and comprehensively reflect the mechanism of drug intervention in disease networks. …”
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    Study on the Mechanism of Liuwei Dihuang Pills in Treating Parkinson's Disease Based on Network Pharmacology
  18. 4638
    “…Experimentation is carried out on two datasets from the field of computer science (JUCS and ACM). In comparison to current state-of-the-art methodologies, the proposed model performed well. …”
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    Online Artículo Texto
    Multi-label classification of research articles using Word2Vec and identification of similarity threshold
  19. 4639
    “…These concepts are often included in any undergraduate’s introduction to Computer Science. The learning outcomes are evaluated using a pre-test of previous knowledge, a satisfaction/usability test, and a post-test on knowledge acquisition, structured with questions on different knowledge areas. …”
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    Immersive virtual-reality computer-assembly serious game to enhance autonomous learning
  20. 4640
    “…CONCLUSIONS: The paper summarizes a successful and efficient mHealth app-building process using a theory-based intervention in nursing and the AR methodology in computer science. Focusing on factors to improve efficiency enabled easy navigation of the app and collection of data. …”
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    An mHealth App-Based Self-management Intervention for Family Members of Pediatric Transplant Recipients (myFAMI): Framework Design and Development Study
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