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Ergebnis der Suche nach:
"Machine Learning"
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26311 - 26320 von 29270
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26311
Prediction of prognosis in elderly patients with sepsis based on machine learning (random survival forest)
Enthalten in BMC emergency medicine Bd. 22, 11.2.2022, Nr. 1, date:12.2022: 1-10
26312
Prediction of prognosis in patients with cerebral contusions based on machine learning
Enthalten in Scientific reports Bd. 14, 30.12.2024, Nr. 1, date:12.2024: 1-12
26313
Prediction of prognosis in patients with systemic sclerosis based on a machine-learning model
Enthalten in Clinical rheumatology Bd. 43, 28.6.2024, Nr. 8, date:8.2024: 2573-2584
26314
Prediction of prognosis of immune checkpoint inhibitors combined with anti-angiogenic agents for unresectable hepatocellular carcinoma by machine learning-based radiomics
Enthalten in BMC cancer Bd. 25, 19.5.2025, Nr. 1, date:12.2025: 1-18
26315
Prediction of prognosis, efficacy of lung adenocarcinoma by machine learning model based on immune and metabolic related genes
Enthalten in Discover oncology Bd. 15, 18.12.2024, Nr. 1, date:12.2024: 1-16
26316
Prediction of prolonged mechanical ventilation in the intensive care unit via machine learning: a COVID-19 perspective
Enthalten in Scientific reports Bd. 14, 4.12.2024, Nr. 1, date:12.2024: 1-12
26317
Prediction of properties of friction stir spot welded joints of AA7075-T651/Ti-6Al-4V alloy using machine learning algorithms
Enthalten in Archives of civil and mechanical engineering Bd. 22, 21.3.2022, Nr. 2, date:5.2022: 1-19
26318
Prediction of prostate biopsy outcomes at different cut-offs of prostate-specific antigen using machine learning: a multicenter study
Enthalten in Egyptian National Cancer Institute (al-Qāhira): Journal of the Egyptian National Cancer Institute Bd. 37, 17.3.2025, Nr. 1, date:12.2025: 1-8
26319
Prediction of protein–ligand binding affinity from sequencing data with interpretable machine learning
Enthalten in Nature biotechnology Bd. 40, 23.5.2022, Nr. 10, date:10.2022: 1520-1527
26320
Prediction of Protein–Protein Interaction Sites with Machine-Learning-Based Data-Cleaning and Post-Filtering Procedures
Enthalten in The journal of membrane biology Bd. 249, 12.11.2015, Nr. 1-2, date:4.2016: 141-153
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