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  1. Explainable prediction of problematic smartphone use among South Korea's children and adolescents using a Machine learning approach.
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    Journal: Int J Med Inform. 2024 Jun;186
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  2. Developing Deep LSTMs With Later Temporal Attention for Predicting COVID-19 Severity, Clinical Outcome, and Antibody Level by Screening Serological Indicators Over Time.
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    Journal: IEEE J Biomed Health Inform. 2024 Jul;28(7)
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  3. scNovel: a scalable deep learning-based network for novel rare cell discovery in single-cell transcriptomics.
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    Journal: Brief Bioinform. 2024 Mar 27;25(3)
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  4. iAFPs-Mv-BiTCN: Predicting antifungal peptides using self-attention transformer embedding and transform evolutionary based multi-view features with bidirectional temporal convolutional networks.
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    Journal: Artif Intell Med. 2024 May;151
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  5. FDA experiences with a centralized statistical monitoring tool.
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    Journal: J Biopharm Stat. 2024 Oct;34(6)
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  6. Understanding COVID-19 infection among people with intellectual and developmental disabilities using machine learning.
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    Journal: Disabil Health J. 2024 Jul;17(3)
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  7. Anxiety, depression, working from home and health-related behaviours during COVID-19: Structural equation modelling and serial mediation of associations with angina, heart attacks and stroke.
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    Journal: J Health Psychol. 2024 Oct;29(12)
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  8. Algorithm-Driven Tele-otoscope for Remote Care for Patients With Otitis Media.
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    Journal: Otolaryngol Head Neck Surg. 2024 Jun;170(6)
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  9. Utilizing genomic signatures to gain insights into the dynamics of SARS-CoV-2 through Machine and Deep Learning techniques.
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    Journal: BMC Bioinformatics. 2024 Mar 27;25(1)
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  10. Comparative study on differential expression analysis methods for single-cell RNA sequencing data with small biological replicates: Based on single-cell transcriptional data of PBMCs from COVID-19 severe patients.
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    Journal: PLoS One. 2024;19(3)
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