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Let’s say there are 100 records in the training dataset. The observations are arranged in decreasing order of probability ...
The Zuckerberg College of Health Sciences, Department of Public Health, invites you to attend a doctoral dissertation defense by Kaylea Flangan, MPH, RD on “Ultra-Processed Food Consumption, Cognitive ...
Seizure classification is vital for the management of people with seizures and epilepsy, as the type of seizure can determine therapeutic options. Specific seizure types often respond best to targeted ...
Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...
BACKGROUND: Primary aldosteronism (PA), an overt form of renin-independent aldosterone production, leads to a disproportionately high rate of major adverse cardiovascular events (MACEs). Mounting ...
Background Coarctation of the aorta (CoA) has good modern results, but large multicentre longitudinal data on outcomes, especially hospital resource utilisation through childhood and adolescence, are ...
Introduction Major depressive disorder (MDD) is a major global healthcare challenge. This is, in part, due to the lack of treatment response and chronic course of MDD. Such a course of illness is ...
Alibaba Cloud has developed a new cluster management system called Eigen+ that achieved a 36% improvement in memory allocation efficiency while eliminating Out of Memory (OOM) errors in production ...
A novel integrated molecular imaging approach enables precise localization and quantification of heart damage, as well as accurate identification of disease subtypes. The dual PET/MR and PET/CMR ...
Background The Prognostic Nutritional Index (PNI), calculated from serum albumin levels and lymphocyte counts, is a simple ...
What is data classification and why do we need it? Organisations have long organised data by function or “descriptive classifier”, such as whether it is an HR file or sales records.