Trends of word count and importance for each LDA-derived topic.

Trends of word count and importance for each LDA-derived topic.

<p>Trends of word count and importance for each LDA-derived topic.</p>

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Bibliographic Details
Main Author:	Haixing Dai (21262774) (author)
Other Authors:	Yiwei Li (15334) (author), Zhengliang Liu (8742267) (author), Lin Zhao (92451) (author), Zihao Wu (4402132) (author), Suhang Song (6050399) (author), Shen Ye (1407769) (author), Dajiang Zhu (722039) (author), Xiang Li (114679) (author), Sheng Li (107261) (author), Xiaobai Yao (10261664) (author), Lu Shi (702610) (author), Tai-Quan Peng (3637114) (author), Quanzheng Li (493782) (author), Zhuo Chen (135585) (author), Donglan Zhang (702608) (author), Tianming Liu (36218) (author), Gengchen Mai (10056829) (author)
Published:	2025
Subjects:	Microbiology Neuroscience Science Policy Biological Sciences not elsewhere classified Information Systems not elsewhere classified salient terms pertinent robust trend analyses global health landscapes complex health narratives also valuable insights public health signifies alzheimer &# 8217 conduct data collection collated comprehensive data source application based div >< p public focus alzheimer ’ transformative potential rich understanding relevant discourse quantifiable metric pioneering study news sources national institute mayo clinic driven investigations demo video autonomous manner autonomous execution art open
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