Sep 24, 2020 · In this paper, we propose a predictive model for the storage of health data that can meet patient needs and make storage decisions rapidly, in real-time.

Sep 24, 2020 · In this paper, we propose a predictive model for the storage of health data that can meet patient needs and make storage decisions rapidly, in real-time.

Sep 24, 2020 · In this paper, we propose a predictive model for the storage of health data that can meet patient needs and make storage decisions rapidly, in real-time.

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Sep 24, 2020 · Health-related data is stored in a number of repositories that are managed and controlled by different entities.

The ensemble learning models exhibited stronger predictive performance than did the individual machine learning models. The ensemble learning models effectively ...

Aug 29, 2023 · This paper aims to present a comprehensive survey of existing machine learning and deep learning approaches utilized in healthcare prediction

Jun 26, 2024 · A Clinical Data Repository (CDR) is a dynamic database capable of real-time updates with patients' data, organized to facilitate rapid and ...

The article highlighted the significant applications of Machine Learning to Deep Learning in medicine and the challenges of applying Al-based technologies in ...

Jan 21, 2022 · The purpose of the current study is to develop a new predictive model of health data storage to meet the needs of patients while ensuring rapid ...