AIMC Topic: Data Science

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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...

Multimodal representation learning for medical analytics - a systematic literature review.

Health informatics journal
Machine learning-based analytics over uni-modal medical data has shown considerable promise and is now routinely deployed in diagnostic procedures. However, patient data consists of diverse types of data. By exploiting such data, multimodal approach...

Bottom-up and top-down paradigms of artificial intelligence research approaches to healthcare data science using growing real-world big data.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: As the real-world electronic health record (EHR) data continue to grow exponentially, novel methodologies involving artificial intelligence (AI) are becoming increasingly applied to enable efficient data-driven learning and, ultimately, t...

Analysis of COVID-19 Vaccinations and Symptom Mapping Diagnostic Technique for Viral Diseases: Using Data Analytics, Machine Learning, and Artificial Intelligence.

Inquiry : a journal of medical care organization, provision and financing
To analyze, understand, and measure the COVID-19 vaccination outlook in a developing country as Nigeria; and the non-clinical analysis, diagnosis, treatment and management of COVID-19, and other Viral Diseases, using Data/Machine Learning (ML)/Artifi...

How data science and AI-based technologies impact genomics.

Singapore medical journal
Advancements in high-throughput sequencing have yielded vast amounts of genomic data, which are studied using genome-wide association study (GWAS)/phenome-wide association study (PheWAS) methods to identify associations between the genotype and pheno...