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Classification of Hypertension in Pregnant Women Using Multinomial Logistic Regression
JTAM (Jurnal Teori dan Aplikasi Matematika), 2023 Maternal Mortality Rate (MMR) is still a crucial problem in Indonesia and other developing countries; one of the causes is Hypertension in Pregnancy (HDK). This study aims to classify hypertension in pregnant women based on the factors that influence it,
Yuniar Farida +2 more
doaj +1 more source
Sustainability, 2021 The classification of vehicular crashes based on their severity is crucial since not all of them have the same financial and injury values. In addition, avoiding crashes by identifying their influential factors is possible via accurate prediction ...
G. Shiran +2 more
semanticscholar +1 more source
A New Robust Approach for Multinomial Logistic Regression With Complex Design Model [PDF]
IEEE Transactions on Information Theory, 2021 Robust estimators and Wald-type tests are developed for the multinomial logistic regression based on $\phi $ -divergence measures. We compute the influence function of the proposed estimators and tests and discuss some consequences.
E. Castilla, P. J. Chocano
semanticscholar +1 more source
Sentiment Classification Using Multinomial Logistic Regression on Roman Urdu Text
Vol 4 Issue 2, 2022 Sentiment analysis seeks to reveal textual knowledge of literary documents in which people communicate their thoughts and views on shared platforms, such as social blogs. On social blogs, users detail is available as short comments.
Irfan Qutab, K. Iqbal Malik, Hira Arooj
semanticscholar +1 more source
Robust Minimum Divergence Estimation for the Multinomial Circular Logistic Regression Model
Entropy, 2023 Circular data are extremely important in many different contexts of natural and social science, from forestry to sociology, among many others. Since the usual inference procedures based on the maximum likelihood principle are known to be extremely non ...
Elena Castilla, Abhik Ghosh
doaj +1 more source
Sequential change-point detection in a multinomial logistic regression model
Open Mathematics, 2020 Change-point detection in categorical time series has recently gained attention as statistical models incorporating change-points are common in practice, especially in the area of biomedicine.
Li Fuxiao, Chen Zhanshou, Xiao Yanting
doaj +1 more source
Multinomial logistic regression in workers’ health [PDF]
AIP Conference Proceedings, 2017 In European countries, namely in Portugal, it is common to hear some people mentioning that they are exposed to excessive and continuous psychosocial stressors at work. This is increasing in diverse activity sectors, such as, the Services sector. A representative sample was collected from a Portuguese Services’ organization, by applying a survey ...
Grilo, L. M. +3 more
openaire +3 more sources
Assessment of Probability Defaults Using K-Means Based Multinomial Logistic Regression
International Journal of Computer Theory and Engineering, 2022 —Classification analysis is a key and easy tool in machine learning and prediction. Because of the large amount of data and the need to convert this data into useful information and knowledge, machine learning has gotten a lot of attention in the ...
G. Arutjothi, C. Senthamarai
semanticscholar +1 more source
Multinomial Inverse Regression for Text Analysis [PDF]
, 2013 Text data, including speeches, stories, and other document forms, are often connected to sentiment variables that are of interest for research in marketing, economics, and elsewhere.
Taddy, Matt
core +1 more source
Grid multi-category response logistic models. [PDF]
, 2015 BackgroundMulti-category response models are very important complements to binary logistic models in medical decision-making. Decomposing model construction by aggregating computation developed at different sites is necessary when data cannot be moved ...
Jiang, Wenchao +5 more
core +1 more source