From body composition to reflux esophagitis: an interpretable machine learning model based on CT-derived features. [PDF]
Wang T +5 more
europepmc +1 more source
From Spreadsheet To Prediction Tool: A Practical Artificial Intelligence Guide For Urologists. [PDF]
Joshi A +7 more
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Does the benefit of time for working memory arise at encoding or retrieval? [PDF]
Mızrak E, Oberauer K.
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Explainable Machine Learning for Early Prediction of Surgical Necessity in Gastrointestinal Emergencies: A Multimodal Diagnostic Study. [PDF]
Anca Monica OM +9 more
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Explainable Machine Learning-Based Overall Survival Classification in Prostate Adenocarcinoma Using Integrated Clinical and Transcriptomic Features. [PDF]
Kurt HA +2 more
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Interpretable Machine Learning Framework for Predicting Major Adverse Cardiovascular Events in Rheumatoid Arthritis Using Electronic Health Records: Multicenter Cohort Study. [PDF]
Chiang WC +8 more
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Machine-learning algorithms identifies sTREM1 has a key biomarker for outcome prediction in critically ill. [PDF]
de Roquetaillade C +8 more
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Machine Learning-Based Radiopatho-Clinical Model Integrating Ultrasound Radiomics and Kleiner Score for Prognosis Prediction in NAFLD-Related Hepatocellular Carcinoma. [PDF]
Li CL +9 more
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The Law of the Iterated Logarithm in Noncommutative Probability
78 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008.For free random variables, we obtain even stronger version of the Law of the Iterated Logarithm: limsupn→infinity 1n i=1nxi≤ bau2s .U of I OnlyRestricted to the U of I ...
Konwerska, Malgorzata Ewa
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