Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Hala Alshamlan"'
Autor:
Nora Alhazmi, Ali Alaqla, Bader Almuzzaini, Mohammed Aldrees, Ghaida Alnaqa, Farah Almasoud, Omar Aldibasi, Hala Alshamlan
Publikováno v:
Progress in Orthodontics, Vol 25, Iss 1, Pp 1-11 (2024)
Abstract Background Hypodontia is the most prevalent dental anomaly in humans, and is primarily attributed to genetic factors. Although genome-wide association studies (GWAS) have identified single-nucleotide polymorphisms (SNP) associated with hypod
Externí odkaz:
https://doaj.org/article/ec7031a8342549959a11cca4ad3e0dbe
Publikováno v:
Diagnostics, Vol 14, Iss 19, p 2237 (2024)
Machine learning (ML) has increasingly been utilized in healthcare to facilitate disease diagnosis and prediction. This study focuses on predicting Alzheimer’s disease (AD) through the development and comparison of ML models using Support Vector Ma
Externí odkaz:
https://doaj.org/article/d2cfed409caf451fa7731816ee6ba432
Autor:
Halah Almazrua, Hala Alshamlan
Publikováno v:
IEEE Access, Vol 10, Pp 71427-71449 (2022)
In the diagnosis and treatment of cancer, cancer classification is a vital issue. Gene selection is much needed to solve the high dimensionality issue in microarray data, small sample size, and noisy. The best way to classify cancer is to select thos
Externí odkaz:
https://doaj.org/article/6456aec0758546b094db8522f31de283
Publikováno v:
Diagnostics, Vol 13, Iss 10, p 1771 (2023)
Alzheimer’s disease (AD) is a complex genetic disorder that affects the brain and has been the focus of many bioinformatics research studies. The primary objective of these studies is to identify and classify genes involved in the progression of AD
Externí odkaz:
https://doaj.org/article/468286de955d47328dd99a2d9518afa0
Publikováno v:
Applied Sciences, Vol 13, Iss 9, p 5603 (2023)
Dental anxiety is a common health problem among children. It creates major issues for patients, parents, and dental professionals. Children who cancel or otherwise miss their dental appointments generally do so due to fear of the unknown and lack of
Externí odkaz:
https://doaj.org/article/be8e80b22d474857b620fcea3b109215
Autor:
Halah AlMazrua, Hala AlShamlan
Publikováno v:
Sensors, Vol 22, Iss 19, p 7273 (2022)
This paper presents two novel swarm intelligence algorithms for gene selection, HHO-SVM and HHO-KNN. Both of these algorithms are based on Harris Hawks Optimization (HHO), one in conjunction with support vector machines (SVM) and the other in conjunc
Externí odkaz:
https://doaj.org/article/53b6854057314274999d315b3211b136
Autor:
Nada Almugren, Hala Alshamlan
Publikováno v:
IEEE Access, Vol 7, Pp 78533-78548 (2019)
The emergence of DNA Microarray technology has enabled researchers to analyze the expression level of thousands of genes simultaneously. The Microarray data analysis is the process of finding the most informative genes as well as remove redundant and
Externí odkaz:
https://doaj.org/article/3bed376fbb634858ba749692a4fab153
Autor:
Hala Alshamlan
UNSTRUCTURED Alzheimer’s disease (AD) is a progressive neurodegenerative brain disorder with complex genetic architecture. This disease is the focus point of many bioinformatics kinds of research, where the key goal of these researches is to classi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cda83cb5b6352b6b6d7c7f8d245c6eca
https://doi.org/10.2196/preprints.45026
https://doi.org/10.2196/preprints.45026
Autor:
Halah AlMazrua, Hala AlShamlan
Publikováno v:
The International Conference on Deep Learning, Big Data and Blockchain (DBB 2022) ISBN: 9783031160349
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac7db96f83dc8a030d3d2e5964a401d2
https://doi.org/10.1007/978-3-031-16035-6_5
https://doi.org/10.1007/978-3-031-16035-6_5
Autor:
Hala Alshamlan, Reham Alabduljabbar
Publikováno v:
Computers, Materials & Continua. 69:831-847
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25c182ab499b391663d88d2b681326d9
https://doi.org/10.32604/cmc.2021.018402
https://doi.org/10.32604/cmc.2021.018402