As mentioned in the previous chapter, data parallelism abounds in SDR applications.
In this chapter, data are decomposed using the wavelet method and examples of predictions of soil classes and surface-clay content are shown, in order to evaluate the effect of using the decomposed layers in comparison with the original data.
Most patients in the MM11+ group accumulate two or more times during their life two or more chronic conditions in one year, with a variety of chronic conditions distributed over the organ systems as classified in the ICPC-chapters (data not shown).
General disease load was estimated by analysis of ICD-10 chapter data.
In this chapter data from the 1999 General Social Survey (GSS) were analyzed.
General disease load/co-morbidity was estimated by frequency and mean value analysis of ICD-10 chapter data (A-Z) based on registered inpatient visits 365-days before and after the first inpatient visits for ICD-10: F43 (index).
This Chapter 3 expands on the conclusions of first two chapters about data network and its architecture especially based on Open Systems Interconnection (OSI) seven-layer model and delves deeper in to layer 1 and 2 of the OSI seven-layer model.
The book's 8 chapters discuss data supporting the author's hypotheses.
These chapters present data on the distribution of malaria, dengue, yellow fever, soil-transmitted helminths, and tickborne diseases, and information on how global transport systems and climate changes could alter the distribution of diseases.
Searching the literature and reading will be covered in this chapter, collecting/culling data and writing will be covered in chapter 36.
Searching the literature and reading will be covered in this chapter; collecting/culling data and writing will be covered in the next, chapter 36.
