Abstract: Multivariate time-series (MTS) anomaly detection is of great importance in both condition monitoring and malfunction identification in multisensor systems. Current MTS anomaly detection ...
Introduction Following a historic 2006 US Federal Court ruling, major cigarette manufacturers were mandated to display ...
Partial Least Squares Regression Trees for Multivariate Response Data With Multicollinear Predictors
Abstract: Some problems arise in analyzing massive complex data consisting of multivariate response variables and a large number of multicollinear predictor variables, especially when the sample sizes ...
Impact of abdominal obesity on frailty development: A web-based survey using a smartphone health app
An Osaka Metropolitan University researcher examined whether abdominal obesity predicts frailty progression in 2,962 ...
Objective To explore an artificial intelligence approach based on gradient-boosted decision trees for prediction of all-cause mortality at an intensive care unit, comparing its performance to a recent ...
Introduction Pre-exposure prophylaxis (PrEP) is an effective HIV prevention strategy, but its impact is limited by low uptake ...
Introduction Selling sex has been associated with negative social and health outcomes, but most studies have been limited ...
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