PITFALLS IN DEVELOPING MACHINE LEARNING MODELS FOR PREDICTING CARDIOVASCULAR DISEASES: CHALLENGE AND SOLUTIONS

Pitfalls in Developing Machine Learning Models for Predicting Cardiovascular Diseases: Challenge and Solutions

In recent years, there has been explosive development in artificial intelligence (AI), sword plaque which has been widely applied in the health care field.As a typical AI technology, machine learning models have emerged with great potential in predicting cardiovascular diseases by leveraging large amounts of medical data for training and optimizati

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The staphylococcal accessory regulator, SarA, is an RNA-binding protein that modulates the mRNA turnover properties of late-exponential and stationary phase Staphylococcus aureus cells

The modulation of mRNA turnover is gaining recognition as a mechanism by which Staphylococcus aureus regulates gene expression, but the factors that orchestrate alterations in transcript degradation are poorly understood.In that regard, we previously found that 138 mRNA species, including the virulence factors protein A (spa) and collagen binding p

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Using kites for 3-D mapping of gullies at decimetre-resolution over several square kilometres: a case study on the Kamech catchment, Tunisia

Monitoring agricultural areas threatened by soil erosion often requires decimetre topographic information over areas of several square kilometres.Airborne lidar and remotely piloted aircraft system (RPAS) imagery have the ability to provide repeated decimetre-resolution and -accuracy digital elevation models (DEMs) covering these extents, which is

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Barometric tides from ECMWF operational analyses

The solar diurnal and semidiurnal tidal oscillations in surface pressure are extracted from the operational analysis product of the European Centre for Medium Range Weather Forecasting (ECMWF).For the semidiurnal tide this involves a special temporal tom-of-finland interpolation, following Van den Dool et al.(1997).The resulting tides are compared

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