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Ergebnis der Suche nach: "Machine Learning"
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	15561	Premio de Investigación SCHOT 2020: desarrollo y validación de un modelo multivariables de predicción de estadía hospitalaria en pacientes mayores de 65 años sometidos artroplastia total de cadera electiva en Chile utilizando aprendizaje de máquinas Enthalten in Revista chilena de ortopedia y traumatología Bd. 62, 2021, Nr. 03: e180-e192
	15562	Preoperative assessment of lymph node metastasis in Colon Cancer patients using machine learning: a pilot study Enthalten in Cancer imaging Bd. 20, 25.4.2020, Nr. 1, date:12.2020: 1-9
	15563	Preoperative discrimination of invasive and non-invasive breast cancer using machine learning based on automated breast volume scanning (ABVS) radiomics and virtual touch quantification (VTQ) Enthalten in Discover oncology Bd. 15, 16.10.2024, Nr. 1, date:12.2024: 1-12
	15564	Preoperative lymph node metastasis risk assessment in invasive micropapillary carcinoma of the breast: development of a machine learning-based predictive model with a web-based calculator Enthalten in World journal of surgical oncology Bd. 23, 22.4.2025, Nr. 1, date:12.2025: 1-11
	15565	Preoperative multiclass classification of thymic mass lesions based on radiomics and machine learning Enthalten in Cancer imaging Bd. 25, 6.3.2025, Nr. 1, date:12.2025: 1-11
	15566	Preoperative prediction of intrahepatic cholangiocarcinoma lymph node metastasis by means of machine learning: a multicenter study in China Enthalten in BMC cancer Bd. 22, 29.8.2022, Nr. 1, date:12.2022: 1-11
	15567	Preoperative prediction of the need for arterial and central venous catheterization using machine learning techniques Enthalten in Scientific reports Bd. 12, 13.7.2022, Nr. 1, date:12.2022: 1-9
	15568	Preoperatively predicting failure to achieve the minimum clinically important difference and the substantial clinical benefit in patient-reported outcome measures for total hip arthroplasty patients using machine learning Enthalten in BMC musculoskeletal disorders Bd. 26, 14.2.2025, Nr. 1, date:12.2025: 1-10
	15569	Preovulatory progesterone levels are the top indicator for ovulation prediction based on machine learning model evaluation: a retrospective study Enthalten in Journal of ovarian research Bd. 17, 21.8.2024, Nr. 1, date:12.2024: 1-11
	15570	Prevalence and predicting factors of perceived stress among Bangladeshi university students using machine learning algorithms Enthalten in Journal of health, population and nutrition Bd. 40, 27.11.2021, Nr. 1, date:12.2021: 1-12

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