Identifying Probable Dementia in Undiagnosed Black and White Americans Using Machine Learning in Veterans Health Administration Electronic Health Records [0.03%]
基于退伍军人健康管理局电子健康记录的机器学习在美国未诊断的非洲裔美国人和白人中识别可能的认知障碍病症
Yijun Shao,Kaitlin Todd,Andrew Shutes-David et al.
Yijun Shao et al.
The application of natural language processing and machine learning (ML) in electronic health records (EHRs) may help reduce dementia underdiagnosis, but models that are not designed to reflect minority populations may instead perpetuate un...
Almost Nobody Is Using ChatGPT to Write Academic Science Papers (Yet) [0.03%]
几乎没有人用ChatGPT写学术科学论文（至少目前是这样）
Heather Desaire,Madeline Isom,David Hua
Heather Desaire
We assessed 19,000 scientific introductions to measure the level of undisclosed use of ChatGPT in scientific papers published in 2023 and early 2024. We applied a "stylistics" approach that has previously been shown to be effective at diffe...
Ziquan Zhu,Zeyu Ren,Siyuan Lu et al.
Ziquan Zhu et al.
Background: Blood is responsible for delivering nutrients to various organs, which store important health information about the human body. Therefore, the diagnosis of blood can indirectly help doctors judge a person's ph...
Google Street View Images as Predictors of Patient Health Outcomes, 2017-2019 [0.03%]
基于Google街景图像的患者健康结果预测因素，2017-2019年
Quynh C Nguyen,Tom Belnap,Pallavi Dwivedi et al.
Quynh C Nguyen et al.
Collecting neighborhood data can both be time- and resource-intensive, especially across broad geographies. In this study, we leveraged 1.4 million publicly available Google Street View (GSV) images from Utah to construct indicators of the ...
Optimizations for Computing Relatedness in Biomedical Heterogeneous Information Networks: SemNet 2.0 [0.03%]
用于生物医学异构信息网相关性计算的优化：SemNet 2.0
Anna Kirkpatrick,Chidozie Onyeze,David Kartchner et al.
Anna Kirkpatrick et al.
Literature-based discovery (LBD) summarizes information and generates insight from large text corpuses. The SemNet framework utilizes a large heterogeneous information network or "knowledge graph" of nodes and edges to compute relatedness a...
Stephen A Allegri,Kevin McCoy,Cassie S Mitchell
Stephen A Allegri
Large networks are quintessential to bioinformatics, knowledge graphs, social network analysis, and graph-based learning. CompositeView is a Python-based open-source application that improves interactive complex network visualization and ex...