عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
NATIONAL BIBLIOGRAPHY NUMBER
Number
TL51409
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Semantic and Statistical Analysis Based Framework for Intracranial Aneurysm Knowledge Curation
General Material Designation
[Thesis]
First Statement of Responsibility
Krishnamurthy, Madan
Subsequent Statement of Responsibility
Malik, Khalid M.
.PUBLICATION, DISTRIBUTION, ETC
Name of Publisher, Distributor, etc.
Oakland University
Date of Publication, Distribution, etc.
2019
GENERAL NOTES
Text of Note
93 p.
DISSERTATION (THESIS) NOTE
Dissertation or thesis details and type of degree
Ph.D.
Body granting the degree
Oakland University
Text preceding or following the note
2019
SUMMARY OR ABSTRACT
Text of Note
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.
UNCONTROLLED SUBJECT TERMS
Subject Term
Artificial intelligence
Subject Term
Computer science
PERSONAL NAME - PRIMARY RESPONSIBILITY
Krishnamurthy, Madan
PERSONAL NAME - SECONDARY RESPONSIBILITY
Malik, Khalid M.
CORPORATE BODY NAME - SECONDARY RESPONSIBILITY
Oakland University
ELECTRONIC LOCATION AND ACCESS
Electronic name
مطالعه متن کتاب p
[Thesis]
276903
a
Y
