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11191 |
Predictive modeling of pregnancy outcomes utilizing multiple machine learning techniques for in vitro fertilization-embryo transfer
Enthalten in BMC pregnancy and childbirth Bd. 25, 19.3.2025, Nr. 1, date:12.2025: 1-13
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11192 |
Predictive modeling of proliferative vitreoretinopathy using automated machine learning by ophthalmologists without coding experience
Enthalten in Scientific reports Bd. 10, 11.11.2020, Nr. 1, date:12.2020: 1-10
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11193 |
Predictive modelling and identification of key risk factors for stroke using machine learning
Enthalten in Scientific reports Bd. 14, 20.5.2024, Nr. 1, date:12.2024: 1-23
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11194 |
Predictive modelling of deliberate self-harm and suicide attempts in young people accessing primary care: a machine learning analysis of a longitudinal study
Enthalten in Social psychiatry and psychiatric epidemiology Bd. 58, 28.2.2023, Nr. 6, date:6.2023: 893-905
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11195 |
Predictive modelling of hospital-acquired infection in acute ischemic stroke using machine learning
Enthalten in Scientific reports Bd. 14, 28.12.2024, Nr. 1, date:12.2024: 1-11
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11196 |
Predictive modelling of linear growth faltering among pediatric patients with Diarrhea in Rural Western Kenya: an explainable machine learning approach
Enthalten in BMC medical informatics and decision making Bd. 24, 2.12.2024, Nr. 1, date:12.2024: 1-14
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11197 |
Predictive modelling of MapReduce job performance in cloud environments using machine learning techniques
Enthalten in Journal of Big Data Bd. 11, 23.7.2024, Nr. 1, date:12.2024: 1-20
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11198 |
Predictive models and determinants of mortality among T2DM patients in a tertiary hospital in Ghana, how do machine learning techniques perform?
Enthalten in BMC endocrine disorders Bd. 25, 10.1.2025, Nr. 1, date:12.2025: 1-12
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11199 |
Predictive models for diabetes mellitus using machine learning techniques
Enthalten in BMC endocrine disorders Bd. 19, 15.10.2019, Nr. 1, date:12.2019: 1-9
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|
11200 |
Predictive Power of XGBoost_BiLSTM Model: A Machine-Learning Approach for Accurate Sleep Apnea Detection Using Electronic Health Data
Enthalten in International journal of computational intelligence systems Bd. 16, 27.11.2023, Nr. 1, date:12.2023: 1-14
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Administration
