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  1. A New Natural Language Processing-Inspired Methodology (Detection, Initial Characterization, and Semantic Characterization) to Investigate Temporal Shifts (Drifts) in Health Care Data: Quantitative Study.
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    Journal: JMIR Med Inform. 2024 Oct 28;12
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  2. Predicting Clinical Outcomes in COVID-19 and Pneumonia Patients: A Machine Learning Approach.
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    Journal: Viruses. 2024 Oct 17;16(10)
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  3. Machine Learning Algorithm-Aided Determination of Predictors of Mortality from Diabetic Foot Sepsis at a Regional Hospital in South Africa During the COVID-19 Pandemic.
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    Journal: Medicina (Kaunas). 2024 Oct 20;60(10)
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  4. Validation Study of the Claims-Based Algorithm Using the International Classification of Diseases Codes to Identify Patients With Coronavirus Disease in Japan From 2020 to 2022: The VENUS Study.
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    Journal: Pharmacoepidemiol Drug Saf. 2024 Nov;33(11)
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  5. Cough2COVID-19 detection using an enhanced multi layer ensemble deep learning framework and CoughFeatureRanker.
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    Journal: Sci Rep. 2024 Oct 24;14(1)
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  6. Forecasting dominance of SARS-CoV-2 lineages by anomaly detection using deep AutoEncoders.
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    Journal: Brief Bioinform. 2024 Sep 23;25(6)
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  7. Integrated ensemble CNN and explainable AI for COVID-19 diagnosis from CT scan and X-ray images.
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    Journal: Sci Rep. 2024 Oct 23;14(1)
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  8. sChemNET: a deep learning framework for predicting small molecules targeting microRNA function.
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    Journal: Nat Commun. 2024 Oct 23;15(1)
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  9. The impact of adverse childhood experiences on adult physical, mental health, and abuse behaviors: A sex-stratified nationwide latent class analysis in Japan.
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    Journal: J Affect Disord. 2025 Jan 15;369
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  10. Brief Mobile App-Based Mindfulness Intervention for Indonesian Senior High School Teachers: Protocol for a Pilot Randomized Controlled Trial.
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    Journal: JMIR Res Protoc. 2024 Oct 23;13
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