AIMC Topic: Data Science

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Quantitative evaluation of ontology design patterns for combining pathology and anatomy ontologies.

Scientific reports Mar 11, 2019
Data are increasingly annotated with multiple ontologies to capture rich information about the features of the subject under investigation. Analysis may be performed over each ontology separately, but recently there has been a move to combine multipl...
Biological Ontologies Datasets as Topic Databases as Topic Semantics Data Science Mice Algorithms Female Animals Male Aging
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Not All Intelligence is Artificial: Data Science, Automation, and AI Meet HI.

Omics : a journal of integrative biology Feb 1, 2019
Automation Artificial Intelligence Data Science
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A Primer on Data Analytics in Functional Genomics: How to Move from Data to Insight?

Trends in biochemical sciences Dec 3, 2018
High-throughput methodologies and machine learning have been central in developing systems-level perspectives in molecular biology. Unfortunately, performing such integrative analyses has traditionally been reserved for bioinformaticians. This is now...
Humans High-Throughput Screening Assays Machine Learning Data Science Software Genomics Animals
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m-Health 2.0: New perspectives on mobile health, machine learning and big data analytics.

Methods (San Diego, Calif.) Jun 8, 2018
Mobile health (m-Health) has been repeatedly called the biggest technological breakthrough of our modern times. Similarly, the concept of big data in the context of healthcare is considered one of the transformative drivers for intelligent healthcare...
Data Mining Telemedicine Big Data Humans Data Science Smartphone Artificial Intelligence Machine Learning
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Complex analyses on clinical information systems using restricted natural language querying to resolve time-event dependencies.

Journal of biomedical informatics Apr 9, 2018
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...
Programming Languages User-Computer Interface Data Collection Time Factors Medical Informatics Algorithms Brain Injuries, Traumatic Internet Humans Language Acetaminophen Liver Body Temperature Fever Software Data Science Natural Language Processing Medical Records Systems, Computerized Out-of-Hospital Cardiac Arrest Liver Function Tests
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Development of an Interpretable Machine Learning Model for Neurotoxicity Prediction of Environmentally Related Compounds.

Environmental science & technology Jun 10, 2025
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...
Humans Machine Learning Risk Assessment Environmental Pollutants Toxicity Tests Neurotoxins Data Science Models, Statistical Data Interpretation, Statistical
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Accelerating autism spectrum disorder care: A rapid review of data science applications in diagnosis and intervention.

Asian journal of psychiatry Jun 1, 2025
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...
Data Science Natural Language Processing Humans Machine Learning Autism Spectrum Disorder Big Data
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Datawiz-IN: fostering representative innovation in health data science-outcomes from a summer research experience.

BMC medical education May 28, 2025
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 ...
Artificial Intelligence Machine Learning Female Humans United States Biomedical Research Male 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 May 15, 2025
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....
Programming Languages Large Language Models Humans Students Artificial Intelligence Surveys and Questionnaires Data Science Female Male
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A Hands-On Introduction to Data Analytics for Biomedical Research.

Function (Oxford, England) Mar 24, 2025
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...
Data Analytics Humans Artificial Intelligence Machine Learning Biomedical Research Data Science
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