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  1. Feasibility, Acceptability, Satisfaction, and Challenges of an mHealth App (e-ASCov) for Community-Based COVID-19 Screening by Community Health Workers in Rwanda: Mixed Methods Study.
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    Journal: JMIR Mhealth Uhealth. 2024 Oct 14;12
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  2. Intelligent computing framework to analyze the transmission risk of COVID-19: Meyer wavelet artificial neural networks.
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    Journal: Comput Biol Chem. 2024 Dec;113
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  3. Pilot implementation study of a web-based men's health screening app in primary care during COVID-19: a mixed-methods approach.
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    Journal: BMC Health Serv Res. 2024 Oct 11;24(1)
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  4. Optimization of testing protocols to screen for COVID-19: a multi-objective model.
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    Journal: Health Care Manag Sci. 2024 Dec;27(4)
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  5. External Validation and Comparison of Statistical and Machine Learning-Based Models in Predicting Outcomes Following Out-of-Hospital Cardiac Arrest: A Multicenter Retrospective Analysis.
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    Journal: J Am Heart Assoc. 2024 Oct 15;13(20)
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  6. Nurses' perceptions of medical service robots in negative-pressure isolated wards and in general wards: A cross-sectional survey.
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    Journal: Nurs Open. 2024 Oct;11(10)
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  7. Multi-scale input layers and dense decoder aggregation network for COVID-19 lesion segmentation from CT scans.
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    Journal: Sci Rep. 2024 Oct 10;14(1)
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  8. Less is More: Selective reduction of CT data for self-supervised pre-training of deep learning models with contrastive learning improves downstream classification performance.
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    Journal: Comput Biol Med. 2024 Dec;183
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  9. Predicting SARS-CoV-2 infection among hemodialysis patients using deep neural network methods.
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    Journal: Sci Rep. 2024 Oct 09;14(1)
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  10. Machine learning for anxiety and depression profiling and risk assessment in the aftermath of an emergency.
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    Journal: Artif Intell Med. 2024 Nov;157
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