AI Medical Compendium Topic:
Big Data

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LNTP-MDBN: Big Data Integrated Learning Framework for Heterogeneous Image Set Classification.

Current medical imaging reviews
BACKGROUND: With the explosive growth of global data, the term Big Data describes the enormous size of dataset through the detailed analysis. The big data analytics revealed the hidden patterns and secret correlations among the values. The major chal...

Three Problems with Big Data and Artificial Intelligence in Medicine.

Perspectives in biology and medicine
The rise of big data and artificial intelligence (AI) in health care has engendered considerable excitement, claiming to improve approaches to diagnosis, prognosis, and treatment. Amidst the enthusiasm, the philosophical assumptions that underlie the...

Big Data Cohort Extraction for Personalized Statin Treatment and Machine Learning.

Methods in molecular biology (Clifton, N.J.)
The creation of big clinical data cohorts for machine learning and data analysis require a number of steps from the beginning to successful completion. Similar to data set preprocessing in other fields, there is an initial need to complete data quali...

How to Develop a Drug Target Ontology: KNowledge Acquisition and Representation Methodology (KNARM).

Methods in molecular biology (Clifton, N.J.)
Technological advancements in many fields have led to huge increases in data production, including data volume, diversity, and the speed at which new data is becoming available. In accordance with this, there is a lack of conformity in the ways data ...

IMass Time: The Future, in Future!

Omics : a journal of integrative biology
Joseph John Thomson discovered and proved the existence of electrons through a series of experiments. His work earned him a Nobel Prize in 1906 and initiated the era of mass spectrometry (MS). In the intervening time, other researchers have also been...