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	11591	Machine learning model demonstrates stunting at birth and systemic inflammatory biomarkers as predictors of subsequent infant growth – a four-year prospective study Enthalten in BMC pediatrics Bd. 20, 30.10.2020, Nr. 1, date:12.2020: 1-10
	11592	Machine learning model development and validation using SHAP: predicting 28-day mortality risk in pulmonary fibrosis patients Enthalten in BMC medical informatics and decision making Bd. 25, 14.10.2025, Nr. 1, date:12.2025: 1-14
	11593	Machine learning model for age-related macular degeneration based on heavy metals: The National Health and Nutrition Examination Survey 2005 to 2008 Enthalten in Scientific reports Bd. 14, 6.11.2024, Nr. 1, date:12.2024: 1-13
	11594	Machine learning model for diagnosing salivary gland adenoid cystic carcinoma based on clinical and ultrasound features Enthalten in Insights into imaging Bd. 16, 8.5.2025, Nr. 1, date:12.2025: 1-13
	11595	Machine learning model for differentiating Pneumocystis jirovecii pneumonia from colonization and analyzing mortality risk in non-HIV patients using BALF metagenomic sequencing Enthalten in BMC infectious diseases Bd. 25, 1.10.2025, Nr. 1, date:12.2025: 1-14
	11596	Machine learning model for differentiating xanthogranulomatous cholecystitis and gallbladder cancer in multicenter largescale study Enthalten in npj digital medicine Bd. 8, 1.10.2025, Nr. 1, date:12.2025: 1-16
	11597	Machine learning model for early diagnosis of breast cancer based on PiRNA expression with CA153 Enthalten in Scientific reports Bd. 15, 20.8.2025, Nr. 1, date:12.2025: 1-12
	11598	Machine learning model for early prediction of acute kidney injury (AKI) in pediatric critical care Enthalten in Critical care Bd. 25, 10.8.2021, Nr. 1, date:12.2021: 1-8
	11599	Machine learning model for early prediction of acute kidney injury in heatstroke patients based on the first 24 h hospitalization data Enthalten in Scientific reports Bd. 15, 26.9.2025, Nr. 1, date:12.2025: 1-10
	11600	Machine learning model for identifying important clinical features for predicting remission in patients with rheumatoid arthritis treated with biologics Enthalten in Arthritis Research & Therapy Bd. 23, 6.7.2021, Nr. 1, date:12.2021: 1-10

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