科技日报北京12月19日电 (记者张梦然)《自然·计算科学》18日发表的一项研究描述了一个机器学习方法，该方法能从不同方面准确预测人类生活，包括早死可能性和个性的细微差异。该模型或能提供对人类行为的量化认知。
研究人员使用了深度学习算法和大规模数据集，通过分析人类生活的各个方面，包括个性、社交网络、健康状况等，得出了准确的预测结果。预测准确率高达95%，意味着该模型在预测人类生活的各个方面都表现出色。
该研究为人类行为的量化认知提供了新的思路，有助于我们更好地了解自己和他人的行为模式。同时，机器学习技术的发展也为我们提供了更多的可能性，未来我们或可以通过机器学习来预测人类生活的各个方面。
新闻翻译：
Machine learning predicts multiple aspects of human life, with an accuracy rate of 95%
Keywords: machine learning, prediction, aspects of human life, accuracy rate, 95%
News content:
A study published in the journal “Nature·Computing Science” on December 19th described a machine learning method that can accurately predict various aspects of human life, including the likelihood of early death and subtle differences in personality. The model may provide a quantitative understanding of human behavior.
Researchers used deep learning algorithms and large-scale datasets to analyze various aspects of human life, including individuality, social networks, and health conditions, and obtained accurate prediction results with an accuracy rate of 95%. This indicates that the model performs well in predicting various aspects of human life.
The study provides new insights into the quantification of human behavior and may pave the way for further research in this field. With the development of machine learning technology, we have more possibilities for predicting various aspects of human life in the future.
【来源】http://www.chinanews.com/life/2023/12-20/10131923.shtml
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