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Adapting and Interpreting Machine Le...

Engstrom, Collin J.

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Adapting and Interpreting Machine Learning Techniques in the Biomedical and Clinical Domains.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Adapting and Interpreting Machine Learning Techniques in the Biomedical and Clinical Domains./
作者:	Engstrom, Collin J.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:	130 p.
附註:	Source: Dissertations Abstracts International, Volume: 81-07, Section: B.
Contained By:	Dissertations Abstracts International81-07B.
標題:	Computer science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27735338
ISBN:	9781392695609

Adapting and Interpreting Machine Learning Techniques in the Biomedical and Clinical Domains.
Engstrom, Collin J.

Adapting and Interpreting Machine Learning Techniques in the Biomedical and Clinical Domains. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 130 p.

Source: Dissertations Abstracts International, Volume: 81-07, Section: B.

Thesis (Ph.D.)--The University of Wisconsin - Madison, 2020.

This item must not be sold to any third party vendors.

In recent decades, escalating healthcare costs have drawn the attention of providers and policymakers. These increased expenditures are often due to inefficiencies in patient care, a dilemma that has catalyzed new approaches to healthcare. Key among these are new avenues for leveraging electronic health record (EHR) data. In particular, applying machine learning methods to biomedical and clinical needs has shown remarkable promise. These techniques often present challenges that must be addressed, however. This dissertation discusses certain guiding principles we have gleaned from our own work in applying predictive machine learning models.In aggregate, these principles of machine learning used in the biomedical and healthcare domains can be taken as guiding principles for other researchers seeking to design and implement similar models. Moving forward, considering these observations and those gained from other applications will be an important tool in not only advancing strictly academic work, but also in tackling the cost and efficiency concerns that currently beset healthcare in the US.

ISBN: 9781392695609Subjects--Topical Terms:

523869
Computer science.
Subjects--Index Terms:

Bioinformatics

Adapting and Interpreting Machine Learning Techniques in the Biomedical and Clinical Domains.
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