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In this paper, a Wide Learning architecture is proposed that attempts to automate the feature engineering portion of the machine learning (ML) pipeline.
Dec 27, 2016 · In this paper, a Wide Learning architecture is proposed that attempts to automate the feature engineering portion of the machine learning ...
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Towards Wide Learning: Experiments in Healthcare - Academia.edu
www.academia.edu › Towards_Wide_Le...
In this paper, a Wide Learning architecture is proposed that attempts to automate the feature engineering portion of the machine learning (ML) pipeline.
Objective A learning health care system (LHS) uses routinely collected data to continuously monitor and improve health care outcomes.
Missing: Experiments | Show results with:Experiments
Nov 28, 2023 · This review summarizes the AI tools and their application in medical teaching or learning, assessment, and administrative support.
Missing: Wide Experiments
Sep 22, 2023 · This review article provides a comprehensive and up-to-date overview of the current state of AI in clinical practice, including its potential applications.
Missing: Wide | Show results with:Wide
The article highlighted the significant applications of Machine Learning to Deep Learning in medicine and the challenges of applying Al-based technologies in ...
May 8, 2024 · We urgently need to set up evaluation loops for LLMs where models are built, implemented, and then continuously evaluated via user feedback.
Jul 4, 2022 · In this Review, we provide a data-centric view of the innovations and challenges that are defining ML for healthcare.
Missing: Experiments | Show results with:Experiments
Jun 14, 2024 · This review focuses on literature published between 2015 and 2023 that methodologically advances FL for healthcare applications.