The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
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Big data and human height: Scientists develop algorithm to boost biobank data retrieval and analysis
Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...
Development and Validation of a Robust and Interpretable Early Triaging Support System for Patients Hospitalized With COVID-19: Predictive Algorithm Modeling and Interpretation Study ...
Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...
Abstract: Identifying positive influence dominating set (PIDS) with the smallest cardinality can produce positive effect with the minimal cost on a social network. The purpose of this article is to ...
Methods: We used the Observational Medical Outcomes Partnership common data model and machine learning algorithms. The primary outcome was a composite of 90-day postoperative all-cause mortality and ...
Abstract: The increasing penetration of renewable generation in power systems poses a significant challenge due to its strong uncertainty. Satisfying security under any realization of the uncertainty ...
If you have used our code for research purposes, please cite the publications mentioned above. For the sake of simplicity, we provide the Bibtex format: @article{Lapucci2024, author={Lapucci, Matteo ...
TikTok explains issues with its algorithm. TikTok users in the U.S. reported feed and content issues over the weekend. Issues followed the creation of a separate U.S. TikTok entity, as ...
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