Publications by authors named "Abdullah Almuhaimeed"

Article Synopsis
  • Data categorization is essential in healthcare for illness prediction, with machine learning techniques facing challenges like high dimensionality and slow performance in modern informatics.* -
  • This study introduces a new classification model using metaheuristic methods to enhance the diagnosis of Chronic Kidney Disease (CKD) through effective data pre-processing and feature selection.* -
  • The proposed model utilizes the Binary Grey Wolf Optimization method for feature selection and the Extreme Learning Machine for classification, showing improved accuracy and performance compared to current models.*
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Epigenetic proteins (EP) play a role in the progression of a wide range of diseases, including autoimmune disorders, neurological disorders, and cancer. Recognizing their different functions has prompted researchers to investigate them as potential therapeutic targets and pharmacological targets. This paper proposes a novel deep learning-based model that accurately predicts EP.

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Article Synopsis
  • * The study introduces Deep-VEGF, a new computational model developed using advanced deep learning techniques to predict VEGF more accurately.
  • * By creating a unique feature extraction method and integrating various deep learning models, Deep-VEGF outperformed existing predictors, showing promise for accelerating research and drug discovery related to VEGF.
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Inflammation is a biologically resistant response to harmful stimuli, such as infection, damaged cells, toxic chemicals, or tissue injuries. Its purpose is to eradicate pathogenic micro-organisms or irritants and facilitate tissue repair. Prolonged inflammation can result in chronic inflammatory diseases.

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Brain tumors affect the normal functioning of the brain and if not treated in time these cancerous cells may affect the other tissues, blood vessels, and nerves surrounding these cells. Today, a large population worldwide is affected by the precarious disease of the brain tumor. Healthy tissues of the brain are suspected to be damaged because of tumors that become the most significant reason for a large number of deaths nowadays.

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Heart disease is one of the key contributors to human death. Each year, several people die due to this disease. According to the WHO, 17.

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In December 2019, the novel coronavirus disease 2019 (COVID-19) appeared. Being highly contagious and with no effective treatment available, the only solution was to detect and isolate infected patients to further break the chain of infection. The shortage of test kits and other drawbacks of lab tests motivated researchers to build an automated diagnosis system using chest X-rays and CT scanning.

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Article Synopsis
  • - The study focuses on sequencing the complete DNA of the dromedary camel (Camelus dromedarius), resulting in the creation of camel EST libraries with 70,272 reads and yielding 23,602 putative gene sequences, including over 4,500 potentially novel genes.
  • - Functional annotation and analysis comparison to other species like humans and mice showed successful characterization, with over 80% of identified gene fragments having significant open reading frames (ORF) greater than 300 bp.
  • - The research introduces an online resource called CAGBASE, which hosts a database of annotated EST sequences and provides tools for further genomic studies and whole genome sequencing of camels.
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