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A machine learning model bests traditional methods for predicting cirrhosis mortality among hospitalized patients.

Wild fire is a serious environmental and socioeconomic menace and therefore any effort aimed at the early and accurate detection of wild fire has to be very useful. This paper proposes a novel machine ...

Employee Salary Prediction is a machine learning project that preprocesses demographic and work data, applies models such as Random Forest, Logistic Regression, SVM, and XGBoost, and uses metric-based ...

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Glaciers carved the deep valleys of Banff, eroded Ontario to deposit the fertile soils of the Prairies, and continue to ...

Machine learning holds promise for optimizing treatment strategies and potentially improving outcomes in respiratory failure ...