clinical data classification

We give a new classification of tilings of the 2-dimensional sphere by congruent triangles accompanied with a complete proof. This accomplishes the old classification by Davies, who only gave an outline of the proof, regrettably with some redundant tilings. We clarify Davies ’ obscure points, give

Age and sex 17 years old male patient. Previous history No preleukemia. No previous malignancy. Inborn condition of note Down syndrome patient. Organomegaly No hepatomegaly, no splenomegaly, no enlarged lymph nodes, no central nervous system involvement.

Abstract This paper examines the impact of old-age pension systems and other social transfer programmes on the retirement decision of older males in OECD countries. For each of the 55-59, 60-64 and 65+ age groups, a new panel dataset (22 OECD countries over 1969(22 OECD countries over -1999

Abstract. Old growth temperate conifer forest canopies are composed of assemblages of tree crowns that vary by species, height, size, and intercrown distance. The challenge this complexity presents to species classification is formidable. In this paper we describe the exploration of spectral

Using a recently introduced proximal support vector machine classifier [4] a very fast and simple incremental support vector machine (SVM) classifier is proposed which is capable of modifying an existing linear classifier by both retiring old data and adding new data. A very important feature

Abstract: Four-month-old infants were screened (N = 433) for temperamental patterns thought to predict behavioral inhibition, including motor reactivity and the expression of negative affect. Those selected (N = 153) were assessed at multiple age points across the first 4 years of life

The phylogeny of the avian genus Emberiza and the monotypic genera Latoucheornis, Melophus and Miliaria (collectively the Old World Emberizini), as well as representatives for the New World Emberizini, the circumpolar genera Calcarius and Plectrophenax and the four other generally recognized tribes

Abstract. Twenty-two decision tree, nine statistical, and two neural network algorithms are compared on thirty-two datasets in terms of classification accuracy, training time, and (in the case of trees) number of leaves. Classification accuracy is measured by mean error rate and mean rank of error

-in-the-utility-function models, the Friedman rule is not unique in cash-in-advance-constraint models of money: A continuum of combinations of money growth rates and consumption taxes implement the first-best allocation. This paper traces through the intellectual origins of the first (old) result, which was recently restated