Machine Learning and Natural Language Processing for Geolocation-Centric Monitoring and Characterization of Opioid-Related Social Media Chatter
Sign Up to like & getrecommendations! Published in 2019 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2019.14672
Abstract: This cross-sectional study develops and validates a machine learning method for collecting and classifying data from opioid-related postings on a social media platform. read more here.
Keywords: social media; machine learning; opioid related; natural language ... See more keywords
Meta-learning in natural and artificial intelligence
Sign Up to like & getrecommendations! Published in 2021 at "Current Opinion in Behavioral Sciences"
DOI: 10.1016/j.cobeha.2021.01.002
Abstract: Meta-learning, or learning to learn, has gained renewed interest in recent years within the artificial intelligence community. However, meta-learning is incredibly prevalent within nature, has deep roots in cognitive science and psychology, and is currently… read more here.
Keywords: intelligence; meta learning; artificial intelligence; learning natural ... See more keywords
Automating the assessment of multicultural orientation through machine learning and natural language processing.
Sign Up to like & getrecommendations! Published in 2024 at "Psychotherapy"
DOI: 10.1037/pst0000519
Abstract: Recent scholarship has highlighted the value of therapists adopting a multicultural orientation (MCO) within psychotherapy. A newly developed performance-based measure of MCO capacities exists (MCO-performance task [MCO-PT]) in which therapists respond to video-based vignettes of… read more here.
Keywords: learning natural; machine learning; mco; language ... See more keywords
Learning from natural variation across the proteomes of single cells
Sign Up to like & getrecommendations! Published in 2022 at "PLoS Biology"
DOI: 10.1371/journal.pbio.3001512
Abstract: Biological functions arise from protein interactions, which are reflected in the natural variation of proteome configurations across individual cells. Emerging single-cell proteomics methods may decode this variation and empower inference of biological mechanisms with minimal… read more here.
Keywords: variation across; learning natural; across proteomes; natural variation ... See more keywords
A Framework for Applying Machine Learning and Natural Language Processing Methods to Accounting Recognition
Sign Up to like & getrecommendations! Published in 2024 at "Accounting Horizons"
DOI: 10.2308/horizons-2023-093
Abstract: Accounting recognition involves determining how certain transactions or events should be included in accounting records, which serve as the foundation for financial statements. However, the recognition process can be complex and error prone. In this… read more here.
Keywords: accounting recognition; learning natural; recognition; machine learning ... See more keywords
An Integrated AI Framework for Personalized Nutrition Using Machine Learning and Natural Language Processing for Dietary Recommendations
Sign Up to like & getrecommendations! Published in 2025 at "Applied Sciences"
DOI: 10.3390/app15179283
Abstract: Nutrition plays a pivotal role in preventive health, yet existing digital solutions often lack personalization and accessibility. This study presents an AI-driven framework that integrates machine learning (ML) and natural language processing (NLP) to deliver… read more here.
Keywords: nutrition; learning natural; natural language; machine learning ... See more keywords