자료유형  

 학위논문

Control Number  

0016934522

International Standard Book Number  

9798380485227

Dewey Decimal Classification Number  

300

Main Entry-Personal Name  

He, Bryan Dawei.

Publication, Distribution, etc. (Imprint  

[S.l.] : Stanford University., 2023

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2023

Physical Description  

1 online resource(159 p.)

General Note  

Source: Dissertations Abstracts International, Volume: 85-04, Section: B.

General Note  

Advisor: Zou, James;Ermon, Stefano.

Dissertation Note  

Thesis (Ph.D.)--Stanford University, 2023.

Restrictions on Access Note  

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

Summary, Etc.  

요약Recent advances in machine learning have enabled important applications in medicine, where many critical tasks are tedious and time-consuming for clinicians to perform. This dissertation presents work on using machine learning for cardiology, pathology, and RNA sequencing.This dissertation begins with several applications of machine learning in cardiology, focusing on echocardiograms, or ultrasounds of the heart. Conventional assessment of echocardiograms requires tedious annotation by a human expert. First, I introduce EchoNet-Dynamic, an algorithm for assessing cardiac function from echocardiograms. EchoNet-Dynamic is then integrated into a clinical system and evaluated with a blinded randomized clinical trial. Extensions of the algorithm to pediatric patients and emergency department point-of-care echocardiograms are then presented.This dissertation then presents work applying machine learning to pathology and RNA sequencing. First, I present in silico-IHC, which predicts immunohistochemical stains from commonly available histochemically-stained tissue samples. Next, I present ST-Net, which combines RNA sequencing and pathology by estimating spatial transcriptomics measurements from microscopy images. Finally, I present CloudPred, which predicts patient phenotypes from single-cell RNA sequencing data.

Subject Added Entry-Topical Term  

Patients.

Subject Added Entry-Topical Term  

Deep learning.

Subject Added Entry-Topical Term  

Genomics.

Subject Added Entry-Topical Term  

Video recordings.

Subject Added Entry-Topical Term  

Pediatrics.

Subject Added Entry-Topical Term  

Ejection fraction.

Subject Added Entry-Topical Term  

Ultrasonic imaging.

Subject Added Entry-Topical Term  

Neural networks.

Subject Added Entry-Topical Term  

Genetics.

Subject Added Entry-Topical Term  

Medical imaging.

Subject Added Entry-Topical Term  

Medicine.

Added Entry-Corporate Name  

Stanford University.

Host Item Entry  

Dissertations Abstracts International. 85-04B.

Host Item Entry  

Dissertation Abstract International

Electronic Location and Access  

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Control Number  

joongbu:643563