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34231 |
Prehospital stroke-scale machine-learning model predicts the need for surgical intervention
Enthalten in Scientific reports Bd. 13, 5.6.2023, Nr. 1, date:12.2023: 1-8
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34232 |
Preissensible Kunden durch Künstliche Intelligenz entdecken
Enthalten in Sales excellence Bd. 32, 15.3.2023, Nr. 3, date:3.2023: 14-16
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34233 |
Preliminary Data Processing of the MSU-GS/VE Device aboard the Arktika-M No. 1 Highly Elliptical Satellite Using Machine Learning Methods
Enthalten in Russian meteorology and hydrology Bd. 49, 27.6.2024, Nr. 4, date:4.2024: 299-303
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34234 |
PRELIMINARY TEST ON STRUCTURAL ELEMENTS HEALTH MONITORING WITH A LIDAR-BASED APPROACH
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-2/W3-2023, 2023: 247-253. 7 S.
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34235 |
Premenopausal breast cancer: potential clinical utility of a multi-omics based machine learning approach for patient stratification
Enthalten in European Association for Predictive, Preventive and Personalised Medicine: The EPMA journal Bd. 9, 11.4.2018, Nr. 2, date:6.2018: 175-186
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34236 |
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
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34237 |
Prenatal and Childbirth Risk Factors of Postpartum Pain and Depression: A Machine Learning Approach
Enthalten in Maternal and child health journal Bd. 27, 16.12.2022, Nr. 2, date:2.2023: 286-296
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34238 |
Preoperative Anesthesia Evaluations May Affect the Decision for Bariatric Surgery
Enthalten in Obesity surgery Bd. 34, 13.9.2024, Nr. 10, date:10.2024: 3624
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34239 |
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
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34240 |
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
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