Semantic and Statistical Analysis Based Framework for Intracranial Aneurysm Knowledge Curation

منو

" Semantic and Statistical Analysis Based Framework for Intracranial Aneurysm Knowledge Curation "
Krishnamurthy, Madan Malik, Khalid M.

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	1105409
Doc. No	:	TLpq2309521714
Main Entry	:	Krishnamurthy, Madan
	:	Malik, Khalid M.
Title & Author	:	Semantic and Statistical Analysis Based Framework for Intracranial Aneurysm Knowledge Curation\ Krishnamurthy, MadanMalik, Khalid M.
College	:	Oakland University
Date	:	2019
student score	:	2019
Degree	:	Ph.D.
Page No	:	93
Abstract	:	The digitization of healthcare has resulted in large volumes of data, mostly unstructured, that can be tapped to derive meaningful insights for clinical decision making. It is important to refine this unstructured data and convert it into machine-readable, structured form, such as knowledge graphs. The structured form of knowledge can facilitate the extraction of actionable information to understand about unknown risk factors, natural history of complex diseases, and the effectiveness of different treatments. The use of knowledge graphs, along with machine learning, in clinical decision support systems (CDSS), is expected to revolutionize the future of healthcare.
Subject	:	Artificial intelligence
	:	Computer science