AIMC Topic: Data Science

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Intelligent health data analytics: A convergence of artificial intelligence and big data.

Healthcare management forum May 22, 2019
Healthcare is a living system that generates a significant volume of heterogeneous data. As healthcare systems are pivoting to value-based systems, intelligent and interactive analysis of health data is gaining significance for health system manageme...
Artificial Intelligence Decision Making, Computer-Assisted Data Science Data Interpretation, Statistical Big Data
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Data science, artificial intelligence, and machine learning: Opportunities for laboratory medicine and the value of positive regulation.

Clinical biochemistry Apr 22, 2019
Artificial intelligence (AI) and data science are rapidly developing in healthcare, as is their translation into laboratory medicine. Our review article presents an overview of the data science domain while discussing the reasons for its emergence. W...
Data Science Medical Laboratory Science Machine Learning Big Data Humans Artificial Intelligence
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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...
Databases as Topic Semantics Biological Ontologies Data Science Mice Datasets as Topic Male Aging Female Animals Algorithms
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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
Data Science Automation Artificial Intelligence
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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 Machine Learning Data Science Genomics High-Throughput Screening Assays Software 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...
Smartphone Data Mining Telemedicine Machine Learning Big Data Data Science Humans Artificial Intelligence
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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 Algorithms Data Collection Time Factors Liver Humans Medical Informatics Natural Language Processing Language Software Liver Function Tests Internet Data Science Brain Injuries, Traumatic Acetaminophen Body Temperature Fever Out-of-Hospital Cardiac Arrest Medical Records Systems, Computerized
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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 Models, Statistical Neurotoxins Data Interpretation, Statistical Data Science
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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 Autism Spectrum Disorder Machine Learning 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 ...
Humans Artificial Intelligence United States Biomedical Research Male Data Science Machine Learning Female
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