An Empirical Study on Predicting Blood Pressure Using Classification and Regression Trees
نویسندگان
چکیده
منابع مشابه
Predicting The Type of Malaria Using Classification and Regression Decision Trees
Predicting The Type of Malaria Using Classification and Regression Decision Trees Maryam Ashoori1 *, Fatemeh Hamzavi2 1School of Technical and Engineering, Higher Educational Complex of Saravan, Saravan, Iran 2School of Agriculture, Higher Educational Complex of Saravan, Saravan, Iran Abstract Background: Malaria is an infectious disease infecting 200 - 300 million people annually. Environme...
متن کاملBayesian Classification and Regression Trees for Predicting Incidence of Cryptosporidiosis
BACKGROUND Classification and regression tree (CART) models are tree-based exploratory data analysis methods which have been shown to be very useful in identifying and estimating complex hierarchical relationships in ecological and medical contexts. In this paper, a Bayesian CART model is described and applied to the problem of modelling the cryptosporidiosis infection in Queensland, Australia....
متن کاملNonsmooth Optimization using Classification and Regression Trees
Nonsmooth local optimization problems occur in many fields, including engineering, mathematics, and economics. In economics, nonsmooth problems can be found in finance, mathematical economics and production theory. Examples include, nonsmooth utility maximization and exact penalty functions. However there are few convergent optimization algorithms to solve general nonsmooth or discontinuous pro...
متن کاملClassification and regression trees
Bellows TS and Fisher TW (eds.) (1999) Handbook of Biological Control: Principles and Applications of Biological Control. San Diego: Academic Press. Clausen CP (ed.) (1978) Agricultural Research Service: Handbook No. 480: Introduced Parasites and Predators of Arthropod Pests and Weeds: A World Review. Washington, DC: USDA: Agricultural Research Service. DeBach P and Rosen D (1991) Biological Co...
متن کاملClassification and regression trees
Classification and regression trees are machine-learning methods for constructing prediction models from data. The models are obtained by recursively partitioning the data space and fitting a simple prediction model within each partition. As a result, the partitioning can be represented graphically as a decision tree. Classification trees are designed for dependent variables that take a finite ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Access
سال: 2018
ISSN: 2169-3536
DOI: 10.1109/access.2017.2787980