AIMC Topic: Data Science

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Complex analyses on clinical information systems using restricted natural language querying to resolve time-event dependencies.

Journal of biomedical informatics
PURPOSE: This paper reports on a generic framework to provide clinicians with the ability to conduct complex analyses on elaborate research topics using cascaded queries to resolve internal time-event dependencies in the research questions, as an ext...

Reimagining Resilience in Aging: Leveraging AI/ML, Big Data Analytics, and Systems Innovation.

The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry
As the aging population in the United States grows, the need for an integrated approach to support older adults has become increasingly urgent. The SUNSHINE framework, Seniors Uniting Nationwide to Support Health, INtegrated Care, and Evolution, offe...

Development of an Interpretable Machine Learning Model for Neurotoxicity Prediction of Environmentally Related Compounds.

Environmental science & technology
The rising prevalence of nervous system disorders has become a significant global health challenge, with environmental pollutants identified as key contributors. However, the large number of environmental related compounds, combined with the low effi...

Accelerating autism spectrum disorder care: A rapid review of data science applications in diagnosis and intervention.

Asian journal of psychiatry
Integrating data science techniques, including machine learning, natural language processing, and big data analytics, has revolutionized the diagnosis and intervention landscape for Autism Spectrum Disorder (ASD). This rapid review examines these app...

Datawiz-IN: fostering representative innovation in health data science-outcomes from a summer research experience.

BMC medical education
The growing adoption of Artificial Intelligence (AI) across sectors highlights the importance of diverse perspectives in guiding its development and implementation. This study examines"Datawiz-IN" an educational initiative that provides data science ...

Exploring Data Science Students' Engagement, Usage Patterns, and Perceptions of Large Language Models in Programming.

Studies in health technology and informatics
Large Language Models (LLMs) are a type of artificial intelligence (AI) that have emerged as powerful tools for a wide range of tasks, paving the way for new applications previously unhandled. The use of LLMs is increasing, especially among students....

A Hands-On Introduction to Data Analytics for Biomedical Research.

Function (Oxford, England)
Artificial intelligence (AI) applications are having increasing impacts in the biomedical sciences. Modern AI tools enable uncovering hidden patterns in large datasets, forecasting outcomes, and numerous other applications. Despite the availability a...

Deep learning in single-cell and spatial transcriptomics data analysis: advances and challenges from a data science perspective.

Briefings in bioinformatics
The development of single-cell and spatial transcriptomics has revolutionized our capacity to investigate cellular properties, functions, and interactions in both cellular and spatial contexts. Despite this progress, the analysis of single-cell and s...

Evaluating and Incorporating Generative AI in Nursing Informatics and Data Science Graduate Courses.

Studies in health technology and informatics
The disruptive effect and lasting implications of generative artificial intelligence ("Gen AI") tools for higher education are yet unknown. ChatGPT 3.5 was released in November 2022 and soon had over 100 million users. This public software release tr...