Automatically Identifying Relevant Variables for Linear Regression with the Lasso Method: A Methodological Primer for its Application with R and a Performance Contrast Simulation with Alternative Selection Strategies
Sign Up to like & getrecommendations! Published in 2019 at "Communication Methods and Measures"
DOI: 10.1080/19312458.2019.1677882
Abstract: ABSTRACT The abundance of available digital big data has created new challenges in identifying relevant variables for regression models. One statistical problem that gained relevance in the era of big data is high-dimensional statistical inference,… read more here.
Keywords: high dimensional; regression; linear regression; relevant variables ... See more keywords
Identifying relevant information in medical conversations to summarize a clinician-patient encounter
Sign Up to like & getrecommendations! Published in 2020 at "Health Informatics Journal"
DOI: 10.1177/1460458220951719
Abstract: To inform the development of automated summarization of clinical conversations, this study sought to estimate the proportion of doctor-patient communication in general practice (GP) consultations used for generating a consultation summary. Two researchers with a… read more here.
Keywords: used generating; relevant information; generating consultation; identifying relevant ... See more keywords