A comprehensive review on machine learning in healthcare industry: classification, restrictions, opportunities and challenges
Recently, various sophisticated methods, including machine learning and artificial
intelligence, have been employed to examine health-related data. Medical professionals are …
intelligence, have been employed to examine health-related data. Medical professionals are …
Fifty years of classification and regression trees
WY Loh - International Statistical Review, 2014 - Wiley Online Library
Fifty years have passed since the publication of the first regression tree algorithm. New
techniques have added capabilities that far surpass those of the early methods. Modern …
techniques have added capabilities that far surpass those of the early methods. Modern …
[HTML][HTML] Intention to use e-commerce vs physical shopping. Difference between consumers in the post-COVID era
E Higueras-Castillo, FJ Liébana-Cabanillas… - Journal of Business …, 2023 - Elsevier
The increase in the widespread use of e-commerce reveals a greater tendency towards
online shopping. The objective of this research is to analyze the drivers and barriers of …
online shopping. The objective of this research is to analyze the drivers and barriers of …
Blood pressure estimation from appropriate and inappropriate PPG signals using A whole-based method
Background and objective Blood pressure (BP) is one of the four vital signals that provides
valuable medical information about the cardiovascular activity. In recent years, extensive …
valuable medical information about the cardiovascular activity. In recent years, extensive …
[HTML][HTML] A novel improved random forest for text classification using feature ranking and optimal number of trees
Abstract Machine learning-based models like random forest (RF) have been widely
deployed in diverse domains such as image processing, health care, and text processing …
deployed in diverse domains such as image processing, health care, and text processing …
[HTML][HTML] Modeling groundwater potential using novel GIS-based machine-learning ensemble techniques
Study region The present study has been carried out in the Tabriz River basin (5397 km 2) in
north-western Iran. Elevations vary from 1274 to 3678 m above sea level, and slope angles …
north-western Iran. Elevations vary from 1274 to 3678 m above sea level, and slope angles …
Architectural spatial layout planning using artificial intelligence
Spatial layout planning in architecture requires a deep understanding of topological spatial
relationships, yet the process remains repetitive and laborious for designers. However …
relationships, yet the process remains repetitive and laborious for designers. However …
Using methods from the data-mining and machine-learning literature for disease classification and prediction: a case study examining classification of heart failure …
OBJECTIVE: Physicians classify patients into those with or without a specific disease.
Furthermore, there is often interest in classifying patients according to disease etiology or …
Furthermore, there is often interest in classifying patients according to disease etiology or …
Evaluation of methodologies for assessing the overall diet: dietary quality scores and dietary pattern analysis
MC Ocké - Proceedings of the Nutrition Society, 2013 - cambridge.org
This paper aims to describe different approaches for studying the overall diet with
advantages and limitations. Studies of the overall diet have emerged because the …
advantages and limitations. Studies of the overall diet have emerged because the …
Advances in dietary pattern analysis in nutritional epidemiology
CA Schulz, K Oluwagbemigun, U Nöthlings - European journal of nutrition, 2021 - Springer
Abstract Background and Purpose It used to be a common practice in the field of nutritional
epidemiology to analyze separate nutrients, foods, or food groups. However, in reality …
epidemiology to analyze separate nutrients, foods, or food groups. However, in reality …