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Technology and Health Care : Official Journal of the European Society for Engineering and Medicine|June 11, 2025
Predicting survival rates of critically ill septic patients with heart failure using interpretable machine learning modelsHai-Ying Yang, Meng-Han Jiang, Fang Yu, et al.
Frontiers in Neuroscience|May 20, 2022
Retrosplenial Cortex Effects Contextual Fear Formation Relying on Dysgranular Constituent in RatsTing-Ting Pan, Chao Liu, De-Min Li, et al.
Clinics (Sao Paulo, Brazil)|September 12, 2025
Predicting readmission rates in critically ill heart failure patients during a 90-day vulnerable phase using interpretable machine learning modelsMeng-Han Jiang, Fang Yu, Hai-Ying Yang, et al.
Helicobacter|April 2, 2026
Vonoprazan Versus Tegoprazan-Amoxicillin Dual Therapy for Treatment-Naïve Patients With Helicobacter pylori Infection: A Prospective, Multicenter, Open-Label, Randomized Controlled StudyYa-Ni Zhou, Ji-Chun Song, Qing-Hua Wang, et al.
Renal Failure|January 19, 2026
Atherogenic index of plasma and risk of acute kidney injury in critically ill patients: a multi-cohort study with machine learning and SHAP analysisDe-Min Li, Fang Yu, Wei Xia, et al.
Helicobacter|April 18, 2025
Comparison of Cefuroxime-Based Dual Therapy With Quadruple Therapy in Helicobacter pylori-Infected Treatment-Naive Patients: A Prospective, Multicenter, Randomized Controlled TrialJi-Yan Li, Ji-Chun Song, Xia Tian, et al.
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