DATA ANALYSIS FOR PREDICTING POSSIBILITY OF PERMANENT RECOVERY FROM STROKEPeter, Lesego
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The relevant distribution of DR grades at baseline and at the end of follow-up in the developmental and validation datasets is shown (Extended Data Table 1), based on the International Clinical Diabetic Retinopathy Disease Severity Scale (ICDRDSS)23. Fig. 1: Design of the DeepDR Plus system. ...
Globally, data has increased substantially over the past 20 years, with hundreds of petabytes (PB) being processed monthly (Chen et al.2014). This growth of information can be attributed to the medium of Web 2.0 services, the IoE, social networks, medical applications, online education services...
and action can be taken to prevent it from happening. This is particularly important for so-called “silent detractors” (customers that do not show any sign of dissatisfaction but are most likely to be detractors based on the various factors under analysis (e.g. network experience, customer ...
In addressing the challenge of Big Data Analytics, what has been of notable significance is the analysis of online search traffic data in order to analyze and predict human behavior. Over the last decade, since the establishment of the most popular such
An analysis for calculating data-dependent jitter (DDJ) in a first-order system is introduced. The predicted DDJ features unique threshold crossing times with self-similar geometry. An approximation for DDJ in second-order systems is described in terms of the damping factor and natural frequency. ...
Reducing student attrition in tertiary education plays a significant role in the core mission and financial well-being of an educational institution. The availability of big data source from the Learning Management System (LMS) can be analysed to help wi
A deterministic method was developed to predict the accuracy of GEBV in selection candidates in a closed breeding population. The population parameter Me that is required for these predictions can be derived from an available reference data set, and applied to other reference data sets and traits ...
The objective of this research is to take a first step in exploring the feasibility of forecasting neighborhood change using longitudinal census data in 29Legacy Cities(Figure 2). The first section provides some motivation for the analysis. Section 2 discusses the feature engineering and machine lear...