Literature-related discovery and innovation: Chronic kidney disease

Ronald N. Kostoff and Uptal Patel

Technological Forecasting and Social Change, 2015, vol. 91, issue C, 341-351

Abstract: Different approaches for preventing, reducing, halting, and reversing chronic kidney disease (CKD) have been described in the medical literature. However, all related factors have not been identified together. To overcome these limitations, we used an LRDI-based methodology (potentially applicable to any disease) based on the following holistic principle: a necessary, but not sufficient, condition for restorative treatment effectiveness is that potential causes must be removed initially or in parallel with treatment. Literature-Related Discovery and Innovation (LRDI) is a text mining approach that integrates discovery generation from disparate literatures with the wealth of knowledge contained in prior scientific publications. To support the central requirement of the holistic principle above, LRDI seeks to identify foundational causes that, if eliminated, could potentially reverse chronic and infectious diseases.

Keywords: Text mining; Literature-related discovery; Information technology; Chronic kidney disease; Chronic renal insufficiency; Chronic renal failure; CKD causes; CKD treatments; CKD prevention (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:91:y:2015:i:c:p:341-351

DOI: 10.1016/j.techfore.2014.09.013

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