This important study used five metrics to compare the cost-effectiveness of intramural and extramural research funded by the National Institutes of Health in the United States between 2009 and 2019.

Abstract: Data cleaning, also known as data cleansing or data scrubbing, is the process of identifying and correcting errors, inconsistencies, and inaccuracies in datasets. It is a crucial step in ...

Debate continues over the role of artificial intelligence in treating mental health conditions, but new research shows that machine learning models can help predict whether a person might benefit from ...

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.

Quantum machine learning is a hybrid approach that combines classical data with quantum computing methods. In classical computing, data is stored in bits encoded as a 0 or 1. Quantum computers use ...

Have you ever spent hours wrestling with messy spreadsheets, trying to clean up data that just won’t cooperate? Or maybe you’ve found yourself manually merging files, painstakingly copying and pasting ...

The way marketers use data is shifting fast, mainly because of privacy laws like GDPR and CCPA. Companies are under pressure to find new ways to analyze performance, target audiences and share data — ...

This study explores the development of two predictive models for the yield sooting index (YSI) of various fuels using the advanced capabilities of machine learning (ML), particularly multilayer ...

A NEW study finds that machine learning models using data from digital inhalers can successfully predict chronic obstructive pulmonary disease (COPD) exacerbations up to 5 days in advance, offering a ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...