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Objective This study aims to evaluate the relationship between obesity (measured by Body Mass Index (BMI)) and postoperative ...

Abstract: Determining the number of clusters in a data set is a significant and difficult problem in cluster analysis. In this study, a new model-based clustering approach is proposed for the ...

Abstract: Long-term forecasting of multivariate time series has been an important research issue in the field of data mining and knowledge discovery. Fuzzy information granularity is used as an ...

TSB-UAD is a new open, end-to-end benchmark suite to ease the evaluation of univariate time-series anomaly detection methods. Overall, TSB-UAD contains 12686 time series with labeled anomalies ...

Design Mixed methods: validated quantitative measure of moral distress followed by purposive sample of respondents who underwent semistructured interviews. Setting Four ICUs of varying sizes and ...

Don't underestimate the power of a yes-or-no question. Some of the toughest computing problems boil down to thousands of tiny ...

When it comes to statistics, we usually expect to be informed about what happens "on average." But sometimes the key ...

While searching for a plan to train for her first full marathon—the New York City Marathon in November—Funmilayo (“Funmi”) ...

How can you have a proof without proving anything? Mathematicians found a way and, in the process, came to blows over it – but 100 years on, this trick is a common part of modern maths, says columnist ...

VA (congestive heart failure, hypertension, age ≥75 years (double weight), diabetes mellitus, previous stroke (double weight) ...

Every year, the Institute for Behavioral Genetics and Director Matthew Keller are proud to host the International Statistical Genetics Workshop. There are three workshops held on a rotating basis: a ...