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Contextualizing key principles to promote a justice-oriented informatics research agenda: proceedings and reflections from an American Medical Informatics Association workshop. [PDF]
Kashyap A +9 more
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Retraction: Application of an Isolated Word Speech Recognition System in the Field of Mental Health Consultation: Development and Usability Study. [PDF]
JMIR Publications Editorial Office.
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From Data Stewardship to Model Stewardship: Extending Governance Frameworks for AI Era Health Data Use. [PDF]
Rozenblit L, Labkoff S, Safran C.
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Correction: Peptide‑based therapeutics targeting the SLC39A14‑PIWIL2 fusion in hepatocellular carcinoma. [PDF]
Shah M +4 more
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The total eclipse of bioinformatics: From disruption to convention, and a gentle warning. [PDF]
Ouzounis CA.
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International Urology and Nephrology, 2012
Biomedical informatics in Health (BIH) is the discipline in charge of capturing, handling and using information in health and biomedicine in order to improve the processes involved with assistance and management. Informatic nephrology has appeared as a product of the combination between conventional nephrology with BIH and its development has been ...
Carlos, Musso +5 more
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Biomedical informatics in Health (BIH) is the discipline in charge of capturing, handling and using information in health and biomedicine in order to improve the processes involved with assistance and management. Informatic nephrology has appeared as a product of the combination between conventional nephrology with BIH and its development has been ...
Carlos, Musso +5 more
openaire +2 more sources
Communications of the ACM, 2003
Discovery informatics is an emerging methodology that brings together several threads of research and practice aimed at making sense out of massive data sources. It is defined as “the study and practice of employing the full spectrum of computing and analytical science and technology to the singular pursuit of discovering new information by identifying
openaire +1 more source
Discovery informatics is an emerging methodology that brings together several threads of research and practice aimed at making sense out of massive data sources. It is defined as “the study and practice of employing the full spectrum of computing and analytical science and technology to the singular pursuit of discovering new information by identifying
openaire +1 more source

