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11081 |
Prediction of Irrigation Water Requirements for Green Beans-Based Machine Learning Algorithm Models in Arid Region Enthalten in Water resources management Bd. 37, 10.3.2023, Nr. 4, date:3.2023: 1557-1580
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11082 |
Prediction of jumbo drill penetration rate in underground mines using various machine learning approaches and traditional models Enthalten in Scientific reports Bd. 14, 18.4.2024, Nr. 1, date:12.2024: 1-16
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11083 |
Prediction of kinase inhibitors binding modes with machine learning and reduced descriptor sets Enthalten in Scientific reports Bd. 11, 12.1.2021, Nr. 1, date:12.2021: 1-13
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11084 |
Prediction of late-onset depression in the elderly Korean population using machine learning algorithms Enthalten in Scientific reports Bd. 15, 7.1.2025, Nr. 1, date:12.2025: 1-12
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11085 |
Prediction of lipomatous soft tissue malignancy on MRI: comparison between machine learning applied to radiomics and deep learning Enthalten in European radiology experimental Bd. 6, 8.9.2022, Nr. 1, date:12.2022: 1-8
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11086 |
Prediction of liquid–liquid phase separating proteins using machine learning Enthalten in BMC bioinformatics Bd. 23, 15.2.2022, Nr. 1, date:12.2022: 1-13
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11087 |
Prediction of long-term hospitalisation and all-cause mortality in patients with chronic heart failure on Dutch claims data: a machine learning approach Enthalten in BMC medical informatics and decision making Bd. 21, 1.11.2021, Nr. 1, date:12.2021: 1-13
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11088 |
Prediction of long-term mortality by using machine learning models in Chinese patients with connective tissue disease-associated interstitial lung disease Enthalten in Respiratory research Bd. 23, 7.1.2022, Nr. 1, date:12.2022: 1-11
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11089 |
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
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11090 |
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
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