基于AI的模块化预警系统，助力社区医疗风险识别
AI-based modular warning machine for risk identification in proximity healthcare
- 构建多模态数据自动化处理流程，融合无监督与有监督学习
- 实现社区医疗数据的预测分析与关键特征识别
- 适合医疗信息化、智能预警系统研发人员参考
DHEAL-COM——社区医学中的数字健康解决方案，是意大利卫生部资助的研究与技术项目，旨在开发贴近社区医疗需求的数字化工具。该项目使科研人员得以收集大量多模态数据，其分析可通过机器学习算法实现。本研究提出一种通用自动化流程，整合多种无监督与有监督方法，可处理此类数据，生成预测结果，并通过特征识别提升模型可解释性。
原文摘要 · Abstract (English)
"DHEAL-COM - Digital Health Solutions in Community Medicine" is a research and technology project funded by the Italian Department of Health for the development of digital solutions of interest in proximity healthcare. The activity within the DHEAL-COM framework allows scientists to gather a notable amount of multi-modal data whose interpretation can be performed by means of machine learning algorithms. The present study illustrates a general automated pipeline made of numerous unsupervised and supervised methods that can ingest such data, provide predictive results, and facilitate model interpretations via feature identification.
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