id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-321447-b58mzk8p	Pandit, Nitin	Artificial Intelligence and One Health: Knowledge Bases for Causal Modeling	2020-10-08		.txt	text/plain	2879	180	51	An appreciation of the process of discovery with incomplete information and a recognition of the role of observations gathered painstakingly by scientists in the field shows that simple databases will not be sufficient to build causal models of the complex relationships between human health and ecosystems. An appreciation of the process of discovery with incomplete information and a recognition of the role of observations gathered painstakingly by scientists in the field shows that simple databases will not be sufficient to build causal models of the complex relationships between human health and ecosystems. The research question is whether knowledge from disparate sources can be captured and utilized to create causal models which, in turn, are capable of generating hypotheses for a proactive response to ERIDs. Recent developments in ML and NN have proliferated in the data analytics community to solve many complex problems.	./cache/cord-321447-b58mzk8p.txt	./txt/cord-321447-b58mzk8p.txt