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1.
Diagnostics (Basel) ; 13(16)2023 Aug 15.
Artigo em Inglês | MEDLINE | ID: mdl-37627946

RESUMO

Deep learning is playing a major role in identifying complicated structure, and it outperforms in term of training and classification tasks in comparison to traditional algorithms. In this work, a local cloud-based solution is developed for classification of Alzheimer's disease (AD) as MRI scans as input modality. The multi-classification is used for AD variety and is classified into four stages. In order to leverage the capabilities of the pre-trained GoogLeNet model, transfer learning is employed. The GoogLeNet model, which is pre-trained for image classification tasks, is fine-tuned for the specific purpose of multi-class AD classification. Through this process, a better accuracy of 98% is achieved. As a result, a local cloud web application for Alzheimer's prediction is developed using the proposed architectures of GoogLeNet. This application enables doctors to remotely check for the presence of AD in patients.

2.
Int J Electron Healthc ; 4(1): 67-77, 2008.
Artigo em Inglês | MEDLINE | ID: mdl-18583296

RESUMO

Electronic Personal Health Records (PHRs) has been perceived as the tool to empower consumers to become active decision-makers of their healthcare instead of leaving the decision to providers. However, there has been the lack of enthusiasm and adoption of PHRs. This paper examines the current healthcare climate and attempts to understand the major challenges associated with PHRs adoption. The paper-based and fragmented healthcare system is no longer appropriate for the digital economy of the 21st century. The integrated health information technology system is the solution to transform clinical practice to consumer centric and information driven. Tools such as PHRs are means to an end that provide better, safer and more affordable healthcare for consumers. However, there has been little research conducted to demonstrate PHR's tangible value, despite the widespread perceived value of these technologies. Although survey data reveals that there is a lack of awareness among the public, consumers are receptive to this concept, especially when a physician recommends it. Key issues in adopting PHRs and strategies for successful implementation of PHRs are discussed.


Assuntos
Sistemas Computadorizados de Registros Médicos/organização & administração , Telemedicina/organização & administração , Humanos , Internet/organização & administração , Informática Médica , Texas
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