AIMC Topic: Big Data
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Big Data Cohort Extraction for Personalized Statin Treatment and Machine Learning.
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2019
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.)
Jan 1, 2019
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 ...
Missing the Difference Between Big Data and Artificial Intelligence in RASAR Versus Traditional QSAR.
Toxicological sciences : an official journal of the Society of Toxicology
Jan 1, 2019
Oy Vey! A Comment on "Machine Learning of Toxicological Big Data Enables Read-Across Structure Activity Relationships Outperforming Animal Test Reproducibility".
Toxicological sciences : an official journal of the Society of Toxicology
Jan 1, 2019
Promise and Perils of Big Data and Artificial Intelligence in Clinical Medicine and Biomedical Research.
Circulation research
Dec 7, 2018
Translational Medicine in the Era of Big Data and Machine Learning.
Circulation research
Nov 9, 2018
IMass Time: The Future, in Future!
Omics : a journal of integrative biology
Nov 1, 2018
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...
Opening the Black Box: Understanding the Science Behind Big Data and Predictive Analytics.
Anesthesia and analgesia
Nov 1, 2018
Big data, smart data, predictive analytics, and other similar terms are ubiquitous in the lay and scientific literature. However, despite the frequency of usage, these terms are often poorly understood, and evidence of their disruption to clinical ca...
[COLONSCORE: THE USE OF MACHINE LEARNING OF BIG DATA TO DETECT COLORECTAL CANCER].
Harefuah
Oct 1, 2018
The use of big data is in its first years of entering the medical world. Big data research enables analysis of very large volumes of data, identifying patterns and findings which traditional statistical methods cannot handle. The diagnosis of colorec...
AI in Medicine: Big Data Remains a Challenge.
Computer methods and programs in biomedicine
Oct 1, 2018
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