A5044384118- Imbalanced Data Classification Techniques
- Artificial Intelligence in Healthcare
- Machine Learning in Healthcare
- Assistive Technology in Communication and Mobility
- Digital Accessibility for Disabilities
- stochastic dynamics and bifurcation
- EEG and Brain-Computer Interfaces
- Topic Modeling
- Computational Drug Discovery Methods
- Quality and Supply Management
- Biomedical Text Mining and Ontologies
- Handwritten Text Recognition Techniques
- Text Readability and Simplification
- Collaboration in agile enterprises
- Higher Education Learning Practices
- Long-Term Effects of COVID-19
- Face and Expression Recognition
- Natural Language Processing Techniques
- Intensive Care Unit Cognitive Disorders
- IoT and Edge/Fog Computing
- Text and Document Classification Technologies
- Parkinson's Disease Mechanisms and Treatments
- E-Government and Public Services
- COVID-19 Clinical Research Studies
- Statistical Distribution Estimation and Applications
Taibah University
2019-2025
University of Colorado Boulder
2015
Heart failure is considered one of the leading cause death around world. The diagnosis heart a challenging task especially in under-developed and developing countries where there paucity human experts equipments. Hence, different researchers have developed intelligent systems for automated detection failure. However, most these methods are facing problem overfitting i.e. recently proposed improved accuracy on testing data while compromising training data. Consequently, constructed models...
About half of the people who develop heart failure (HF) die within five years diagnosis. Over years, researchers have developed several machine learning-based models for early prediction HF and to help cardiologists improve diagnosis process. In this paper, we introduce an expert system that stacks two support vector (SVM) effective HF. The first SVM model is linear L <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sub> regularized. It has...
Heart failure (HF) is considered a deadliest disease worldwide. Therefore, different intelligent medical decision support systems have been widely proposed for detection of HF in literature. However, low rate accuracies achieved on the data major problem these systems. To improve prediction accuracy, we developed feature-driven system consisting two main stages. In first stage, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"...
The ability to search for information on the web can provide tremendous support people with cognitive disabilities, but there are few research studies this focus. An exploratory study was conducted explore how individuals disabilities use three searching methods (typing, voice manual microphone control, and hands-free searching). results a flexible design approach, as preferences of participants conditions varied. Some preferred typing, since they experienced some recognition issues...
Innovations in financial services have given rise to Financial Technology (FinTech) as a disruptive technology which is now shaping the future of sector through like crowdfunding, peer-to-peer loans, and alternative underwriting platforms. Given status web vital information resource, accessible usable online FinTech can aid people with disabilities taking full advantage presented support them basic needs accessing high-quality care. This study set out analyze accessibility usability 32 Saudi...
The population models allow for a better understanding of the dynamical interactions with environment and hence can provide way changes. They are helpful in studying biological invasions, environmental conservation many other applications. These become more complicated when accounting stochastic and/or random variations due to different sources. In current work, spectral technique is suggested analyze model parameters. contains mixed sources uncertainties, noise uncertain algorithm uses...
In the logistics service industry, rapid advancement of Information Technology (IT) has cultivated a competitive dynamic that promotes uptake information technologies by Logistics Service Providers (LSPs). However, there remain many LSPs who have yet to embrace IT and thus not realized their fullest competitiveness financial success. This research conceptualizes role in operations investigates degree which IT, its usage, capabilities can affect LSP performance competitiveness. The interviews...
The COVID-19 pandemic remains an immediate and present concern, yet as of now there is still no approved therapeutic available for the treatment COVID-19.This study aimed to investigate report evidence concerning demographic characteristics currently-used medications that contribute ultimate outcomes ICU patients. A retrospective cohort was conducted among all patients in Intensive Care Unit (ICU) Asir Central Hospital Saudi Arabia between 1st 30th June 2020. Data extracted from patients'...
In this article, an algorithm is proposed for creating ensemble classifier. The name of the F-score subspace method (FsBoost). According to method, features are selected with and classified different or same classifiers. next step, classifier created. Two versions that named FsBoost.V1 FsBoost.V2 have been developed based on classification by results obtained, consistent literature. Besides, a higher accuracy rate obtained compared many algorithms in fast because it has few steps. It thought...
Abstract Motivation Drug-drug interactions (DDIs) are complex processes which may depend on many clinical and non-clinical factors. Identifying distinguishing ways in drugs interact remains a challenge. To minimize DDIs to personalize treatment based accurate stratification of patients, it is crucial that mechanisms interaction can be identified. Most consequence metabolic interaction, but with different occur less frequently therefore more difficult identify. Results We developed method...