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深度学习与老年心理健康。

Deep Learning and Geriatric Mental Health.

机构信息

Department of Psychiatry (HA), University of Pittsburgh School of Medicine, Pittsburgh, PA.

Department of Psychiatry (RCM), University of California San Diego, San Diego, CA.

出版信息

Am J Geriatr Psychiatry. 2024 Mar;32(3):270-279. doi: 10.1016/j.jagp.2023.11.008. Epub 2023 Dec 5.

DOI:10.1016/j.jagp.2023.11.008
PMID:38142162
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10922602/
Abstract

The goal of this overview is to help clinicians develop basic proficiency with the terminology of deep learning and understand its fundamentals and early applications. We describe what machine learning and deep learning represent and explain the underlying data science principles. We also review current promising applications and identify ethical issues that bear consideration. Deep Learning is a new type of machine learning that is remarkably good at finding patterns in data, and in some cases generating realistic new data. We provide insights into how deep learning works and discuss its relevance to geriatric psychiatry.

摘要

本文旨在帮助临床医生掌握深度学习术语的基本技能,了解其基础知识和早期应用。我们描述了机器学习和深度学习的含义,并解释了其背后的数据科学原理。我们还回顾了目前有前景的应用,并确定了需要考虑的道德问题。深度学习是一种新型的机器学习,它在发现数据中的模式方面非常出色,在某些情况下还可以生成逼真的新数据。我们深入探讨了深度学习的工作原理,并讨论了它与老年精神病学的相关性。

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本文引用的文献

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ChatGPT and Bard exhibit spontaneous citation fabrication during psychiatry literature search.ChatGPT 和 Bard 在搜索精神病学文献时会自发编造引文。
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Ambient Monitoring of Gait and Machine Learning Models for Dynamic and Short-Term Falls Risk Assessment in People With Dementia.环境监测步态和机器学习模型对痴呆患者动态和短期跌倒风险的评估。
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Smartphone accelerometer data as a proxy for clinical data in modeling of bipolar disorder symptom trajectory.智能手机加速度计数据作为双相情感障碍症状轨迹建模中临床数据的替代指标。
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Real-time location systems technology in the care of older adults with cognitive impairment living in residential care: A scoping review.实时定位系统技术在居住式护理机构中对认知障碍老年人的照护:一项范围综述
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Transdisciplinary Science and Research Training in Psychiatry: A Robust Approach to Innovation.精神病学中的跨学科科学与研究培训:一种强大的创新方法。
JAMA Psychiatry. 2022 Sep 1;79(9):839-840. doi: 10.1001/jamapsychiatry.2022.1788.