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Using Consumer Devices to Monitor Acute Medical Conditions for Infants
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Using Consumer Devices to Monitor Acute Medical Conditions for Infants. |
| 개인저자 | de Greef, Lilian. |
| 단체저자명 | University of Washington. Computer Science and Engineering. |
| 발행사항 | [S.l.]: University of Washington., 2019. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2019. |
| 형태사항 | 166 p. |
| 기본자료 저록 | Dissertations Abstracts International 81-05B. Dissertation Abstract International |
| ISBN | 9781687955913 |
| 학위논문주기 | Thesis (Ph.D.)--University of Washington, 2019. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 81-05, Section: B.
Advisor: Patel, Shwetak N. |
| 이용제한사항 | This item must not be sold to any third party vendors.This item must not be added to any third party search indexes. |
| 요약 | Acute medical conditions need immediate attention, but early detection can require professional experience and specialized equipment that are unavailable at home. Consequently, babies with such conditions risk suffering damage from late interventions. We can leverage the world's increasingly ubiquitous devices to improve the accessibility of health care outside the hospital through machine learning and integrating a human-centered approach at every step of the process. This dissertation examines this approach through three projects: a smartphone-based system to screen newborns for dangerous levels of jaundice, an exploration on how machine learning can help an existing system better monitor infants with single ventricle heart disease, and a reflection on the methods and insights from working in this space to inform future work. |
| 일반주제명 | Computer science. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
