AIMC Topic: Big Data

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Optimized robust learning framework based on big data for forecasting cardiovascular crises.

Scientific reports
Numerous Deep Learning (DL) scenarios have been developed for evolving new healthcare systems that leverage large datasets, distributed computing, and the Internet of Things (IoT). However, the data used in these scenarios tend to be noisy, necessita...

Big data from population surveys and environmental monitoring-based machine learning predictions of indoor PM in 22 cities in China.

Ecotoxicology and environmental safety
Many studies have confirmed that PM exposure can cause a variety of diseases. Because people spend most of their time indoors, exposure to PM in indoor environments is critical to population health. Large-population, long-term, continuous, and accura...

The Role of Artificial Intelligence and Big Data for Gastrointestinal Disease.

Gastrointestinal endoscopy clinics of North America
Artificial intelligence (AI) is a rapidly evolving presence in all fields and industries, with the ability to both improve quality and reduce the burden of human effort. Gastroenterology is a field with a focus on diagnostic techniques and procedures...

Big data and artificial intelligence-aided crop breeding: Progress and prospects.

Journal of integrative plant biology
The past decade has witnessed rapid developments in gene discovery, biological big data (BBD), artificial intelligence (AI)-aided technologies, and molecular breeding. These advancements are expected to accelerate crop breeding under the pressure of ...

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...