Zobrazeno 1 - 10
of 1 496
pro vyhledávání: '"Feature ranking"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Density functional theory (DFT) calculations are widely used for material property prediction, but their computational cost can hinder the discovery of novel perovskites. This work explores machine learning (ML) as a faster alternative for p
Externí odkaz:
https://doaj.org/article/ca84c6f3d1e04595b863a56405404688
Publikováno v:
International Journal of General Medicine, Vol Volume 17, Pp 5163-5174 (2024)
Jheng-Ting Luo,1 Yung-Chun Hung,1,2 Gina Jinna Chen,3 Yu-Shiang Lin1 1In-Service Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; 2School of Health Care Administration, College of
Externí odkaz:
https://doaj.org/article/4b7b539fae8c47b38116266f8e172c77
Autor:
Janan Arslan, Kurt Benke
Publikováno v:
BioMedInformatics, Vol 4, Iss 3, Pp 1638-1671 (2024)
Background: Several studies have investigated various features and models in order to understand the growth and progression of the ocular disease geographic atrophy (GA). Commonly assessed features include age, sex, smoking, alcohol consumption, sede
Externí odkaz:
https://doaj.org/article/47a99485eb454d9da17cee2558be2e7a
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Accurate prediction and grading of gliomas play a crucial role in evaluating brain tumor progression, assessing overall prognosis, and treatment planning. In addition to neuroimaging techniques, identifying molecular biomarkers that can guid
Externí odkaz:
https://doaj.org/article/31cd3cf6f9a14928b9f577145d06fc98
Autor:
Torikul Islam, Redwanul Islam, Monisha Basak, Amit Dutta Roy, Md. Adil Arman, Samanta Paul, Oleksii Shandra, Sk. Rahat Ali
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Epilepsy is a chronic neurological disease, characterized by spontaneous, unprovoked, recurrent seizures that may lead to long-term disability and premature death. Despite significant efforts made to improve epilepsy detection clinically and
Externí odkaz:
https://doaj.org/article/c6036a8f5a194b6eb8e8e24e32fe440b
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-30 (2024)
Abstract Background Technological advances have enabled the generation of unique and complementary types of data or views (e.g. genomics, proteomics, metabolomics) and opened up a new era in multiview learning research with the potential to lead to n
Externí odkaz:
https://doaj.org/article/62f34f327ee8459badf6f87961674a17
Publikováno v:
IEEE Access, Vol 12, Pp 135577-135588 (2024)
This work evaluates the performance of four machine learning models (MLMs): support vector machine (SVM), K-nearest neighbor (KNN), discriminant analysis (DA), and logistic regression (LR) in predicting the biodegradability of chemicals, a critical f
Externí odkaz:
https://doaj.org/article/56ef0049d1f44b008d6d7820b3879745
Publikováno v:
IEEE Access, Vol 12, Pp 105573-105587 (2024)
Unsupervised feature selection methods can be more efficient than supervised methods, which rely on the expensive and time-consuming data labeling process. The paper introduced skewness as a novel, unsupervised, and computationally efficient feature
Externí odkaz:
https://doaj.org/article/01ce7d8cc6b4482a97f208650c27da91
Publikováno v:
IEEE Access, Vol 12, Pp 88086-88110 (2024)
Bruxism is a sleep disorder which is manifested by unintentional grinding and clenching of teeth during sleep. An automated sleep bruxism recognition system using single channel EEG data is proposed in this paper which is based on Inverse Discrete Wa
Externí odkaz:
https://doaj.org/article/3a25052fd55f4d4ea132873c7b7af27b