Artificial Intelligence for Dementia Research Methods Optimization
- URL: http://arxiv.org/abs/2303.01949v1
- Date: Thu, 2 Mar 2023 08:50:25 GMT
- Title: Artificial Intelligence for Dementia Research Methods Optimization
- Authors: Magda Bucholc, Charlotte James, Ahmad Al Khleifat, AmanPreet Badhwar,
Natasha Clarke, Amir Dehsarvi, Christopher R. Madan, Sarah J. Marzi, Cameron
Shand, Brian M. Schilder, Stefano Tamburin, Hanz M. Tantiangco, Ilianna
Lourida, David J. Llewellyn, Janice M. Ranson
- Abstract summary: We present an overview of machine learning algorithms most frequently used in dementia research.
We discuss issues of replicability and interpretability and how these impact the clinical applicability of dementia research.
We give examples of how state-of-the-art methods, such as transfer learning, multi-task learning, and reinforcement learning, may be applied to overcome these issues.
- Score: 0.49050354212898845
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Introduction: Machine learning (ML) has been extremely successful in
identifying key features from high-dimensional datasets and executing
complicated tasks with human expert levels of accuracy or greater. Methods: We
summarize and critically evaluate current applications of ML in dementia
research and highlight directions for future research. Results: We present an
overview of ML algorithms most frequently used in dementia research and
highlight future opportunities for the use of ML in clinical practice,
experimental medicine, and clinical trials. We discuss issues of
reproducibility, replicability and interpretability and how these impact the
clinical applicability of dementia research. Finally, we give examples of how
state-of-the-art methods, such as transfer learning, multi-task learning, and
reinforcement learning, may be applied to overcome these issues and aid the
translation of research to clinical practice in the future. Discussion:
ML-based models hold great promise to advance our understanding of the
underlying causes and pathological mechanisms of dementia.
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