Multiclass data extraction using gpt-oss-120b and gpt-oss-20b demonstrated lower accuracy when compared to its corresponding binary data extraction (91.1% and 88.0%, respectively). There was no ...

Ariel Ong, a fellow from University College London, discussed her ARVO poster, looking at her work on developing a scalable pipeline for data extraction from ophthalmic clinical letters and what ...

A Python-based web scraping project that automates the collection of product identifiers (ASINs) and pricing from Amazon search results using **Selenium** and **BeautifulSoup4**. This project is ...

Objective To examine the potential errors of a general large language model (LLM) (ie, Claude 3.5 Sonnet) on data extraction from randomised controlled trials (RCTs). Design and setting An empirical ...

Enterprise content management provider Box Inc. is expanding its armory of artificial intelligence tools with the launch of Box Extract in general availability. The new tool uses third-party AI models ...

Abstract: The adoption of data-driven Digital Twins in smart manufacturing systems necessitates robust, data-driven modeling techniques. Stochastic Petri nets offer a formal framework for capturing ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Dynamic predictive modeling using electronic health record data has gained significant attention in recent years. The reliability and trustworthiness of such models depend heavily on the quality of ...