Last Posted: Aug 22, 2019
- Big data analysis of all bacterial genomes establishes a triple whammy of carbapenemases, ICEs and multiple clinically-relevant bacteria
Botelho J, et al. bioRxiv, Aug 17, 2019. - Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning.
Makino Masaki et al. Scientific reports 2019 Aug 9(1) 11862 - The imaginary of precision public health.
Kenney Martha et al. Medical humanities 2019 Aug - Big Data Analytics in Healthcare: Investigating the Diffusion of Innovation.
Dolezel Diane et al. Perspectives in health information management 2019 16(Summer) 1a - Clinical Research Informatics: Contributions from 2018.
Daniel Christel et al. Yearbook of medical informatics 2019 Aug 28(1) 203-205 - Current status of use of big data and artificial intelligence in RMDs: a systematic literature review informing EULAR recommendations.
Kedra Joanna et al. RMD open 2019 5(2) e001004 - Enabling Global Clinical Collaborations on Identifiable Patient Data: The Minerva Initiative.
Nellåker Christoffer et al. Frontiers in genetics 2019 10611 - Formal Medical Knowledge Representation Supports Deep Learning Algorithms, Bioinformatics Pipelines, Genomics Data Analysis, and Big Data Processes.
Dhombres Ferdinand et al. Yearbook of medical informatics 2019 Aug 28(1) 152-155 - Pharmacy Data as an Alternative Data Source for Implementation of a Data to Care Strategy.
Byrd Kathy K et al. Journal of acquired immune deficiency syndromes (1999) 2019 Sep 82 Suppl 1S53-S56 - The role of miRNAs as biomarkers in prostate cancer.
Cozar J M et al. Mutation research 781165-174
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