AIMC Topic: Big Data

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Machine learning algorithms translate big data into predictive breeding accuracy.

Trends in plant science
Statistical machine learning (ML) extracts patterns from extensive genomic, phenotypic, and environmental data. ML algorithms automatically identify relevant features and use cross-validation to ensure robust models and improve prediction reliability...

Human Capital and Productivity in Surgery Research Across the Globe: A Big Data Analysis Using Artificial Intelligence.

The Journal of surgical research
INTRODUCTION: No investigation of each nation's contribution to knowledge production and human capital in surgery currently exists. Previous studies explored country-level research productivity only in few surgical subspecialties. To identify current...

Big data and artificial intelligence applied to blood and CSF fluid biomarkers in multiple sclerosis.

Frontiers in immunology
Artificial intelligence (AI) has meant a turning point in data analysis, allowing predictions of unseen outcomes with precedented levels of accuracy. In multiple sclerosis (MS), a chronic inflammatory-demyelinating condition of the central nervous sy...

Toward High-Quality Real-World Laboratory Data in the Era of Healthcare Big Data.

Annals of laboratory medicine
With Industry 4.0, big data and artificial intelligence have become paramount in the field of medicine. Electronic health records, the primary source of medical data, are not collected for research purposes but represent real-world data; therefore, t...

Harnessing computational tools of the digital era for enhanced infection control.

BMC medical informatics and decision making
This paper explores the potential of artificial intelligence, machine learning, and big data analytics in revolutionizing infection control. It addresses the challenges and innovative approaches in combating infectious diseases and antimicrobial resi...

Skinformatics: Navigating the big data landscape of dermatology.

Journal of the European Academy of Dermatology and Venereology : JEADV
Big data and associated approaches to analyse it are on the rise, especially in healthcare settings. This growth is also seen with unique applications in the field of dermatology. While big data offer a plethora of opportunity for improving our curre...

AI and Big Data approaches to addressing the opioid crisis: a scoping review protocol.

BMJ open
INTRODUCTION: This paper outlines the steps necessary to assess the latest developments in artificial intelligence (AI) as well as Big Data technologies and their relevance to the opioid crisis. Fatal opioid overdoses have risen to over 82 998 annual...

Transforming simulation in healthcare to enhance interprofessional collaboration leveraging big data analytics and artificial intelligence.

BMC medical education
Simulation in healthcare, empowered by big data analytics and artificial intelligence (AI), has the potential to drive transformative innovations towards enhanced interprofessional collaboration (IPC). This convergence of technologies revolutionizes ...

Selecting the foremost big data tool to optimize YouTube data in dynamic Fermatean fuzzy knowledge.

PloS one
Big data pertains to extensive and intricate compilations of information that necessitate the implementation of proficient and cost-effective evaluation and analysis tools to derive insights and support decision making. The Fermatean fuzzy set theory...

Digital innovations for monitoring sustainability in food systems.

Nature food
Monitoring systems that incentivize, track and verify compliance with social and environmental standards are widespread in food systems. In particular, digital monitoring approaches using remote sensing, machine learning, big data, smartphones, platf...