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11531 |
Prediction of carbapenem-resistant gram-negative bacterial bloodstream infection in intensive care unit based on machine learning
Enthalten in BMC medical informatics and decision making Bd. 24, 14.5.2024, Nr. 1, date:12.2024: 1-11
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11532 |
Prediction of cardiac arrest in critically ill patients presenting to the emergency department using a machine learning score incorporating heart rate variability compared with the modified early warning score
Enthalten in Critical care Bd. 16, 21.6.2012, Nr. 3, date:6.2012: 1-12
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11533 |
Prediction of cell migration potential on human breast cancer cells treated with Albizia lebbeck ethanolic extract using extreme machine learning
Enthalten in Scientific reports Bd. 13, 14.12.2023, Nr. 1, date:12.2023: 1-16
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11534 |
Prediction of cellulose micro/nanofiber aspect ratio and yield of nanofibrillation using machine learning techniques
Enthalten in Cellulose Bd. 29, 17.9.2022, Nr. 17, date:11.2022: 9143-9162
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11535 |
Prediction of chemoresistance trait of cancer cell lines using machine learning algorithms and systems biology analysis
Enthalten in Journal of Big Data Bd. 8, 5.7.2021, Nr. 1, date:12.2021: 1-21
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11536 |
Prediction of childbearing tendency in women on the verge of marriage using machine learning techniques
Enthalten in Scientific reports Bd. 14, 6.9.2024, Nr. 1, date:12.2024: 1-10
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11537 |
Prediction of chromosomal abnormalities in the screening of the first trimester of pregnancy using machine learning methods: a study protocol
Enthalten in Reproductive health Bd. 21, 3.7.2024, Nr. 1, date:12.2024: 1-5
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11538 |
Prediction of ciprofloxacin resistance in hospitalized patients using machine learning
Enthalten in Communications medicine Bd. 3, 28.3.2023, Nr. 1, date:12.2023: 1-8
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11539 |
Prediction of clinical stages of cervical cancer via machine learning integrated with clinical features and ultrasound-based radiomics
Enthalten in Scientific reports Bd. 15, 29.5.2025, Nr. 1, date:12.2025: 1-8
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11540 |
Prediction of coating degradation based on “Environmental Factors–Physical Property–Corrosion Failure” two-stage machine learning
Enthalten in npj Materials degradation Bd. 9, 10.6.2025, Nr. 1, date:12.2025: 1-13
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Administration
