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6321 |
Predictive modeling of co-infection in lupus nephritis using multiple machine learning algorithms
Enthalten in Scientific reports Bd. 14, 22.4.2024, Nr. 1, date:12.2024: 1-8
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6322 |
Predictive modeling of CO2 capture efficiency using piperazine solutions: a comparative study of white-box algorithms
Enthalten in Discover applied sciences Bd. 6, 6.11.2024, Nr. 11, date:11.2024: 1-18
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6323 |
Predictive modeling of CO2 solubility in piperazine aqueous solutions using boosting algorithms for carbon capture goals
Enthalten in Scientific reports Bd. 14, 27.9.2024, Nr. 1, date:12.2024: 1-19
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6324 |
Predictive modeling of COVID-19 mortality risk in chronic kidney disease patients using multiple machine learning algorithms
Enthalten in Scientific reports Bd. 14, 6.11.2024, Nr. 1, date:12.2024: 1-13
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6325 |
Predictive modeling of fatigue and rutting parameters for asphalt cement modified with pretreated oil palm clinker using artificial neural network algorithms to enhance pavement performance
Enthalten in Discover civil engineering Bd. 1, 30.8.2024, Nr. 1, date:12.2024: 1-33
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6326 |
Predictive performance of automated surveillance algorithms for intravascular catheter bloodstream infections: a systematic review and meta-analysis
Enthalten in Antimicrobial resistance and infection control Bd. 12, 31.8.2023, Nr. 1, date:12.2023: 1-10
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6327 |
Predictive validity of the Stopping Elderly Accidents, Deaths & Injuries (STEADI) program fall risk screening algorithms among community-dwelling Thai elderly
Enthalten in BMC medicine Bd. 20, 14.3.2022, Nr. 1, date:12.2022: 1-13
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6328 |
Prefabricated building construction in materialization phase as catalysts for hotel low-carbon transitions via hybrid computational visualization algorithms
Enthalten in Scientific reports Bd. 15, 5.3.2025, Nr. 1, date:12.2025: 1-14
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6329 |
Preprocessing algorithms for the estimation of ordinary differential equation models with polynomial nonlinearities
Enthalten in Nonlinear dynamics Bd. 111, 16.1.2023, Nr. 8, date:4.2023: 7495-7510
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6330 |
Prevalence and predicting factors of perceived stress among Bangladeshi university students using machine learning algorithms
Enthalten in Journal of health, population and nutrition Bd. 40, 27.11.2021, Nr. 1, date:12.2021: 1-12
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