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Evaluation of clinical prediction models (part 2): how to undertake an external validation study - Vimarsana News

Evaluation of clinical prediction models (part 2): how to undertake an external validation study

External validation studies are an important but often neglected part of prediction model research. In this article, the second in a series on model evaluation, Riley and colleagues explain what an external validation study entails and describe the key steps involved, from establishing a high quality dataset to evaluating a model’s predictive performance and clinical usefulness. A clinical prediction model is used to calculate predictions for an individual conditional on their characteristics. Such predictions might be of a continuous value (eg, blood pressure, fat mass) or the probability o...

Source: bmj.com
"A Comprehensive Overview of IoT-Based Federated Learning: Focusing on " by Naghmeh Khajehali, Jun Yan et al. - Vimarsana News

"A Comprehensive Overview of IoT-Based Federated Learning: Focusing on " by Naghmeh Khajehali, Jun Yan et al.

The integration of the Internet of Things (IoT) with machine learning (ML) is revolutionizing how services and applications impact our daily lives. In traditional ML methods, data are collected and processed centrally. However, modern IoT networks face challenges in implementing this approach due to their vast amount of data and privacy concerns. To overcome these issues, federated learning (FL) has emerged as a solution. FL allows ML methods to achieve collaborative training by transferring model parameters instead of client data. One of the significant challenges of federated learning is tha...

Source: uow.edu.au