Zobrazeno 1 - 10
of 5 037
pro vyhledávání: '"categorical data"'
Autor:
Yukio Tada, Tosiya Sato
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background Longitudinal ordinal data are commonly analyzed using a marginal proportional odds model for relating ordinal outcomes to covariates in the biomedical and health sciences. The generalized estimating equation (GEE) consistently est
Externí odkaz:
https://doaj.org/article/5a3dc11ce07646059653202f3ff872d4
Publikováno v:
PeerJ Computer Science, Vol 10, p e2315 (2024)
In various fields, including medical science, datasets characterized by uncertainty are generated. Conventional clustering algorithms, designed for deterministic data, often prove inadequate when applied to uncertain data, posing significant challeng
Externí odkaz:
https://doaj.org/article/680ffbf08d99401e80bc752c62d67d4d
Autor:
Maya Cendana, Ren-Jieh Kuo
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 6, Iss 2, Pp 1009-1054 (2024)
Numerous real-world applications apply categorical data clustering to find hidden patterns in the data. The K-modes-based algorithm is a popular algorithm for solving common issues in categorical data, from outlier and noise sensitivity to local opti
Externí odkaz:
https://doaj.org/article/5c4e69efceac4117920cae5a67cb2e82
Autor:
Duong, Shirley, Davis, Tehran J., Bachman, Heather J., Votruba-Drzal, Elizabeth, Libertus, Melissa E.
Publikováno v:
Tutorials in Quantitative Methods for Psychology, Vol 20, Iss 2, Pp 121-136 (2024)
Social interactions are defined by the dynamic and reciprocal exchange of information in a process referred to as mutual alignment. Statistical methods for characterizing alignment between two interacting partners are emerging. In general, they explo
Externí odkaz:
https://doaj.org/article/564254fc7b304d989b08d6010104e98b
Autor:
Svensson Elisabeth, Lund Iréne
Publikováno v:
Scandinavian Journal of Pain, Vol 24, Iss 1, Pp 1976-82 (2024)
Perceived pain is a multi-factorial subjective variable, commonly measured by numeric rating scales, verbal descriptive scales (VDS), or by a position on an analogue line (VAS). A major question is whether an individual’s VAS and VDS pain assessmen
Externí odkaz:
https://doaj.org/article/edef1523c8b54a8d9f4a1b5a2dd8c40e
Autor:
Mototsugu Fukushige
Publikováno v:
Research in Statistics, Vol 2, Iss 1 (2024)
Variable selection in regression analysis with ordered categorical variables can be simplified by integrating some categories and introducing transformed dummy variables. This allows for the application of traditional variable selection criteria and
Externí odkaz:
https://doaj.org/article/a697adebce8243cba402e49a1fc5b607
Publikováno v:
Science Journal of University of Zakho, Vol 12, Iss 3 (2024)
The aim of this study is to investigate the practical application of the Multinomial (many explanatory variables and many categories) Logistic Regression (MLR) model, which is a fundamental tool for analyzing not only for scale data but also for cate
Externí odkaz:
https://doaj.org/article/bffe107caf3846acbd3ec9402cffe436
Publikováno v:
Exploratory Research in Clinical and Social Pharmacy, Vol 14, Iss , Pp 100463- (2024)
Background: Machine learning (ML) prediction models in healthcare and pharmacy-related research face challenges with encoding high-dimensional Healthcare Coding Systems (HCSs) such as ICD, ATC, and DRG codes, given the trade-off between reducing mode
Externí odkaz:
https://doaj.org/article/29d4069d9d5440419938959fcb08bd34
Autor:
Donatus Wewura Adongo, David Adedia, Charles Kwaku Benneh, Augustine Tandoh, Hilda Amekyeh, Edmund Kofi Ntelah, Salifu Nanga, Richard Harry Asmah, Eric Woode
Publikováno v:
Scientific African, Vol 24, Iss , Pp e02250- (2024)
Background: Psychoactive substance (PAS) use is a worldwide problem and has many health, sociological and economic effects. Several countries are alarmed by the growing incidence of drug use by students, and Ghana is no exception. Few studies have be
Externí odkaz:
https://doaj.org/article/2de4b0030833482295cfccf7ea254fad
Autor:
Styliani I. Kampezidou, Archana Tikayat Ray, Anirudh Prabhakara Bhat, Olivia J. Pinon Fischer, Dimitri N. Mavris
Publikováno v:
Eng, Vol 5, Iss 1, Pp 384-416 (2024)
This paper offers a comprehensive examination of the process involved in developing and automating supervised end-to-end machine learning workflows for forecasting and classification purposes. It offers a complete overview of the components (i.e., fe
Externí odkaz:
https://doaj.org/article/3a4d12e11bf54d67a46bbd9e48785f32