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An Extensive Study and Review of Privacy Preservation Models for the Multi-Institutional Data
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作者 Sagarkumar Patel Rachna Patel +1 位作者 Ashok Akbari Srinivasa Reddy Mukkala 《Journal of Information Security》 2023年第4期343-365,共23页
The deep learning models hold considerable potential for clinical applications, but there are many challenges to successfully training deep learning models. Large-scale data collection is required, which is frequently... The deep learning models hold considerable potential for clinical applications, but there are many challenges to successfully training deep learning models. Large-scale data collection is required, which is frequently only possible through multi-institutional cooperation. Building large central repositories is one strategy for multi-institution studies. However, this is hampered by issues regarding data sharing, including patient privacy, data de-identification, regulation, intellectual property, and data storage. These difficulties have lessened the impracticality of central data storage. In this survey, we will look at 24 research publications that concentrate on machine learning approaches linked to privacy preservation techniques for multi-institutional data, highlighting the multiple shortcomings of the existing methodologies. Researching different approaches will be made simpler in this case based on a number of factors, such as performance measures, year of publication and journals, achievements of the strategies in numerical assessments, and other factors. A technique analysis that considers the benefits and drawbacks of the strategies is additionally provided. The article also looks at some potential areas for future research as well as the challenges associated with increasing the accuracy of privacy protection techniques. The comparative evaluation of the approaches offers a thorough justification for the research’s purpose. 展开更多
关键词 Privacy Preservation Models Multi Institutional Data Bio Technologies clinical Trial and pharmaceutical Industry
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Pharmacokinetics of Aminoglycosides 被引量:1
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作者 Lokangu Lombo 《Journal of Nanjing Medical University》 2004年第2期105-108,共4页
The Pharmacokinetics informations of aminoglycosides, their monograph and clinical Pharmacokinetics parameters are reported in this review. The Aminoglycosides are highly polarity and in reserve for serious infections... The Pharmacokinetics informations of aminoglycosides, their monograph and clinical Pharmacokinetics parameters are reported in this review. The Aminoglycosides are highly polarity and in reserve for serious infections caused by aerobic gram negative bacteria and some gram positive bacteria but their toxicity are major limitations in clinical use. 展开更多
关键词 PHARMACOKINETIC AMINOGLYCOSIDES MONOGRAPH polarity TOXICITY clinical pharmaceutical parameters
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