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11091 |
Prediction of mortality risk of health checkup participants using machine learning-based models: the J-SHC study
Enthalten in Scientific reports Bd. 12, 19.8.2022, Nr. 1, date:12.2022: 1-8
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11092 |
Prediction of motor and non-motor Parkinson’s disease symptoms using serum lipidomics and machine learning: a 2-year study
Enthalten in npj Parkinson's Disease Bd. 10, 25.6.2024, Nr. 1, date:12.2024: 1-9
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11093 |
Prediction of neonatal deaths in NICUs: development and validation of machine learning models
Enthalten in BMC medical informatics and decision making Bd. 21, 19.4.2021, Nr. 1, date:12.2021: 1-14
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11094 |
Prediction of new-onset migraine using clinical-genotypic data from the HUNT Study: a machine learning analysis
Enthalten in The journal of headache and pain Bd. 26, 7.4.2025, Nr. 1, date:12.2025: 1-13
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11095 |
Prediction of newborn’s body mass index using nationwide multicenter ultrasound data: a machine-learning study
Enthalten in BMC pregnancy and childbirth Bd. 21, 2.3.2021, Nr. 1, date:12.2021: 1-10
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11096 |
Prediction of non-suicidal self-injury (NSSI) among rural Chinese junior high school students: a machine learning approach
Enthalten in Annals of general psychiatry Bd. 23, 6.12.2024, Nr. 1, date:12.2024: 1-13
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11097 |
Prediction of nonsentinel lymph node metastasis in breast cancer patients based on machine learning
Enthalten in World journal of surgical oncology Bd. 21, 11.8.2023, Nr. 1, date:12.2023: 1-16
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11098 |
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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11099 |
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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11100 |
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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Administration
