AIMC Topic: Big Data

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BQsupports: systematic assessment of the support and novelty of new biomedical associations.

Bioinformatics (Oxford, England)
MOTIVATION: Living a Big Data era in Biomedicine, there is an unmet need to systematically assess experimental observations in the context of available information. This assessment would offer a means for a comprehensive and robust validation of biom...

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...

[For a fistful of (big) data.].

Recenti progressi in medicina
For some years now, the term big data has become common in many fields, even outside of the computer science community, primary thanks to the informative contribution that data - if properly processed - can provide to organizations and companies to s...

The Inverse Data Law: Market Imperatives, Data, and Quality in AI Supported Care.

Studies in health technology and informatics
Over the last decade, the explosion of "Big Data" and its fusion with AI has led many to believe that the development and integration of AI systems in healthcare will usher in a transformative revolution that democratises access to high quality healt...

Predictive health intelligence: Potential, limitations and sense making.

Mathematical biosciences and engineering : MBE
We discuss the new paradigm of predictive health intelligence, based on the use of modern deep learning algorithms and big biomedical data, along the various dimensions of: a) its potential, b) the limitations it encounters, and c) the sense it makes...

ASAS-NANP symposium: mathematical modeling in animal nutrition-Making sense of big data and machine learning: how open-source code can advance training of animal scientists.

Journal of animal science
Advancements in precision livestock technology have resulted in an unprecedented amount of data being collected on individual animals. Throughout the data analysis chain, many bottlenecks occur, including processing raw sensor data, integrating multi...

[Development of a Medical Big Data Analysis System Utilizing Artificial Intelligence Analytics in Clinical Pharmacy].

Yakugaku zasshi : Journal of the Pharmaceutical Society of Japan
Industrial reforms utilizing artificial intelligence (AI) have been progressing remarkably worldwide in recent years. In medical informatics, medical big-data analytics involving AI are increasingly being promoted, and AI in the medical field is bein...

[Literacy for Appropriate Use of Medical Big Data and Artificial Intelligence].

Yakugaku zasshi : Journal of the Pharmaceutical Society of Japan
Recent developments have enabled daily accumulated medical information to be converted into medical big data, and new evidence is expected to be created using databases and various open data sources. Database research using medical big data was activ...