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  1. Evaluating Biomedical Feature Fusion on Machine Learning's Predictability and Interpretability of COVID-19 Severity Types: Model Development, Interpretation, and Validation.
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    Journal: JMIR Form Res. 2026 Apr 30;10
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  2. Identification of Critical Variables and Critical Gap Variables in Hospital Nurses' Job Satisfaction During the Dynamic Adjustment Phase of COVID-19 Prevention in China: A Hybrid Machine Learning and Decision Analysis Approach.
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    Journal: J Nurs Manag. 2026;2026(1)
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  3. Digital Health Support for Cataract Surgery With the Sharp Health Companion CareKit App: Randomized Controlled Trial.
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    Journal: JMIR Mhealth Uhealth. 2026 Apr 29;14
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  4. Top-down estimates of anthropogenic NOx emissions over China through a new zone-stratified RF machine learning model.
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    Journal: Environ Pollut. 2026 Jul 01;400
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  5. Interface design failure as a social determinant of health.
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    Journal: Gerontologist. 2026 Jun 09;66(7)
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  6. Increasing value in the Veterans Affairs Healthcare System (VA) with precision health: a continuing landmark collaboration with the Department of Energy.
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    Journal: J Am Med Inform Assoc. 2026 Jul 01;33(7)
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  7. Machine learning-enabled diagnosis of viral respiratory infections from exhaled volatile organic compound analysis.
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    Journal: BMC Pulm Med. 2026 Apr 25;26(1)
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  8. A Bibliometric Examination of EEGLAB Publications in Scopus and WoS Indexed Sources: A 20-Year Study of Asia-Pacific and Arabian Countries.
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    Journal: Clin EEG Neurosci. 2026 Jul;57(4)
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  9. Long COVID: Deep single-cell immunophenotyping and machine learning reveal a general signature for fatigue.
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    Journal: J Transl Med. 2026 Apr 22;24(1)
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  10. Antibody-antigen neutralization prediction by integrating structural information distillation and physicochemical constraints.
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    Journal: Brief Bioinform. 2026 Mar 01;27(2)
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