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Ergebnis der Suche nach: "Machine Learning"
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15421 - 15430 von 17082

	15421	Prediction of low Apgar score at five minutes following labor induction intervention in vaginal deliveries: machine learning approach for imbalanced data at a tertiary hospital in North Tanzania Enthalten in BMC pregnancy and childbirth Bd. 22, 1.4.2022, Nr. 1, date:12.2022: 1-14
	15422	Prediction of lung papillary adenocarcinoma-specific survival using ensemble machine learning models Enthalten in Scientific reports Bd. 13, 8.9.2023, Nr. 1, date:12.2023: 1-8
	15423	Prediction of lung tumor types based on protein attributes by machine learning algorithms Enthalten in SpringerPlus Bd. 2, 24.5.2013, Nr. 1, date:12.2013: 1-14
	15424	Prediction of malignant lymph nodes in NSCLC by machine-learning classifiers using EBUS-TBNA and PET/CT Enthalten in Scientific reports Bd. 12, 20.10.2022, Nr. 1, date:12.2022: 1-13
	15425	Prediction of measles patients using machine learning classifiers: a comparative study Enthalten in al- Markaz al-Qaumī li-'l-Buḥūṭ (al-Qāhira): Bulletin of the National Research Centre Bd. 47, 26.7.2023, Nr. 1, date:12.2023: 1-11
	15426	Prediction of mechanical properties of eco-friendly concrete using machine learning algorithms and partial dependence plot analysis Enthalten in Smart construction and sustainable cities Bd. 3, 27.1.2025, Nr. 1, date:12.2025: 1-21
	15427	Prediction of metabolic and pre-metabolic syndromes using machine learning models with anthropometric, lifestyle, and biochemical factors from a middle-aged population in Korea Enthalten in BMC public health Bd. 22, 6.4.2022, Nr. 1, date:12.2022: 1-10
	15428	Prediction of metabolic syndrome using machine learning approaches based on genetic and nutritional factors: a 14-year prospective-based cohort study Enthalten in BMC medical genomics Bd. 17, 4.9.2024, Nr. 1, date:12.2024: 1-14
	15429	Prediction of microvascular obstruction from angio-based microvascular resistance and available clinical data in percutaneous coronary intervention: an explainable machine learning model Enthalten in Scientific reports Bd. 15, 24.1.2025, Nr. 1, date:12.2025: 1-10
	15430	Prediction of monthly dry days with machine learning algorithms: a case study in Northern Bangladesh Enthalten in Scientific reports Bd. 12, 16.11.2022, Nr. 1, date:12.2022: 1-21

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