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34181 |
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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34182 |
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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34183 |
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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34184 |
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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34185 |
Predictive models for heat stress assessment in Holstein dairy heifers using infrared thermography and machine learning
Enthalten in Tropical animal health and production Bd. 56, 26.9.2024, Nr. 8, date:11.2024: 1-10
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34186 |
Predictive Optimization of Patient No-Show Management in Primary Healthcare Using Machine Learning
Enthalten in Journal of medical systems Bd. 49, 14.1.2025, Nr. 1, date:12.2025: 1-26
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34187 |
Predictive performance of noninvasive factors for liver fibrosis in severe obesity: a screening based on machine learning models
Enthalten in Journal of diabetes & metabolic disorders Bd. 24, 18.1.2025, Nr. 1, date:6.2025: 1-9
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34188 |
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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34189 |
Predictive safety assessment for storage tanks of water cyber physical systems using machine learning
Enthalten in Sādhāna Bd. 45, 27.2.2020, Nr. 1, date:12.2020: 1-16
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34190 |
Predictive Supervised Machine Learning Models for Diabetes Mellitus
Enthalten in SN Computer Science Bd. 1, 21.7.2020, Nr. 5, date:9.2020: 1-10
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