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34041 |
Prediction of Oncomelania hupensis distribution in association with climate change using machine learning models
Enthalten in Parasites & vectors Bd. 16, 23.10.2023, Nr. 1, date:12.2023: 1-13
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34042 |
Prediction of opioid dose in cancer pain patients using genetic profiling: not yet an option with support vector machine learning
Enthalten in Biomed Central (London): BMC Research Notes Bd. 11, 27.1.2018, Nr. 1, date:12.2018: 1-5
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34043 |
Prediction of oral squamous cell carcinoma based on machine learning of breath samples: a prospective controlled study
Enthalten in BMC oral health Bd. 21, 6.10.2021, Nr. 1, date:12.2021: 1-12
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34044 |
Prediction of organic compound aqueous solubility using machine learning: a comparison study of descriptor-based and fingerprints-based models
Enthalten in Journal of cheminformatics Bd. 15, 18.10.2023, Nr. 1, date:12.2023: 1-16
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34045 |
Prediction of osteoporosis in patients with rheumatoid arthritis using machine learning
Enthalten in Scientific reports Bd. 13, 9.12.2023, Nr. 1, date:12.2023: 1-8
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34046 |
Prediction of overall survival in stage II and III colon cancer through machine learning of rapidly-acquired proteomics
Enthalten in Cell discovery Bd. 10, 13.8.2024, Nr. 1, date:12.2024: 1-3
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34047 |
Prediction of oxidation resistance of Ti-V-Cr burn resistant titanium alloy based on machine learning
Enthalten in npj Materials degradation Bd. 9, 14.1.2025, Nr. 1, date:12.2025: 1-12
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34048 |
Prediction of P-glycoprotein inhibitors with machine learning classification models and 3D-RISM-KH theory based solvation energy descriptors
Enthalten in Journal of computer aided molecular design Bd. 33, 19.11.2019, Nr. 11, date:11.2019: 965-971
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34049 |
Prediction of p53 mutation status in rectal cancer patients based on magnetic resonance imaging-based nomogram: a study of machine learning
Enthalten in Cancer imaging Bd. 23, 18.9.2023, Nr. 1, date:12.2023: 1-11
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34050 |
Prediction of patent grant and interpreting the key determinants: an application of interpretable machine learning approach
Enthalten in Scientometrics Bd. 128, 22.6.2023, Nr. 9, date:9.2023: 4933-4969
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