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11671 - 11680 von 15141

	11671	Machine learning models highlight environmental and genetic factors associated with the Arabidopsis circadian clock Enthalten in Nature Communications Bd. 16, 5.8.2025, Nr. 1, date:12.2025: 1-17
	11672	Machine learning models identify predictive features of patient mortality across dementia types Enthalten in Communications medicine Bd. 4, 28.2.2024, Nr. 1, date:12.2024: 1-13
	11673	Machine learning models in evaluating the malignancy risk of ovarian tumors: a comparative study Enthalten in Journal of ovarian research Bd. 17, 6.11.2024, Nr. 1, date:12.2024: 1-12
	11674	Machine learning models including patient-reported outcome data in oncology: a systematic literature review and analysis of their reporting quality Enthalten in Journal of patient-reported outcomes Bd. 8, 5.11.2024, Nr. 1, date:12.2024: 1-9
	11675	Machine learning models integrating dietary data predict all-cause mortality in U.S. NAFLD patients: an NHANES-based study Enthalten in Nutrition journal Bd. 24, 1.7.2025, Nr. 1, date:12.2025: 1-12
	11676	Machine learning models on a web application to predict short-term postoperative outcomes following anterior cervical discectomy and fusion Enthalten in BMC musculoskeletal disorders Bd. 25, 21.5.2024, Nr. 1, date:12.2024: 1-15
	11677	Machine learning models outperform deep learning models, provide interpretation and facilitate feature selection for soybean trait prediction Enthalten in BMC plant biology Bd. 22, 8.4.2022, Nr. 1, date:12.2022: 1-8
	11678	Machine learning models predict overall survival and progression free survival of non-surgical esophageal cancer patients with chemoradiotherapy based on CT image radiomics signatures Enthalten in Radiation oncology Bd. 17, 27.12.2022, Nr. 1, date:12.2022: 1-9
	11679	Machine learning models predict risk of lower extremity deep vein thrombosis in hospitalized patients with spontaneous intracerebral hemorrhage Enthalten in Scientific reports Bd. 15, 10.7.2025, Nr. 1, date:12.2025: 1-12
	11680	Machine learning models predict the progression of long-term renal insufficiency in patients with renal cancer after radical nephrectomy Enthalten in BMC nephrology Bd. 25, 18.12.2024, Nr. 1, date:12.2024: 1-11

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