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Achieving affordable critical care in low-income and middle …

WEBTurnerHC et al BMJ Global Health 214:e1 doi:1113bmg211 1 Achieving affordable critical care in low-income and middle-income countries Hugo C Turner, 1,2 Nguyen Van Hao,3 …

Actived: 6 days ago

URL: https://www.robots.ox.ac.uk/~davidc/pubs/bmjopen2019.pdf

Machine learning for healthcare technologies – an introduction

WEBThe ICU is a data-rich environment, in which patients are typically monitored continuously for the duration of their stay, and where the nurse-to-patient ratio is typically 1:1 in many …

Category: Health Go Health

Lecture 1 Introduction

WEBIT is increasingly pervasive in healthcare delivery (and other complex applications) As more imaging and signal modalities become available to clinicians, communications become …

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Health Informatics via Machine Learning for the Clinical …

WEB40 IMIA Yearbook of Medical Informatics 2015 Clifton et al. 25], using GPs and one-class support vector machines. Such methods have been extended by the use of health …

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Blockchain in health care: hype, trust, and digital health

WEBComment www.thelancet.com Vol 393 June 22, 2019 2477 Ethereum Classic in January, 2019,with the theft of almost US$500 Centre for Health Informatics, Division of …

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Case Studies of Medical Monitoring Systems

WEBOne of the defining characteristics of the medical monitoring domain is the conservative nature of clinical practice in the adoption of new technolo-gies. The direct result of this is …

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MIMIC-II: A PUBLIC-ACCESS ICU DATABASE

WEBTo our knowledge MIMIC-II is the only ICU database that encompasses patient demographics, clinical laboratory data, categorical admission diagnoses, as well as …

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Patient-Specific Physiological Monitoring and Prediction …

WEBT. Zhu et al.: Patient-Specific Physiological Monitoring and Prediction Using Structured Gaussian Processes existing, similar treatments, and whether there are clusters of …

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Condition Monitoring of Gas-Turbine Engines

WEBCondition Monitoring of Gas-Turbine Engines David Clifton St. Cross College, December, 2005 Summary Condition monitoring assesses the operational health of gas-turbine …

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Publications & Code · Michael A Osborne

WEBPublications & Code. My publications (with associated code where available) are listed below; Endnote and citation statistics are available at my Google scholar profile.. Contents

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Andreea-Maria Oncescu

WEBAndreea-Maria Oncescu, A. Sophia Koepke, João F. Henriques, Zeynep Akata, Samuel Albanie. Accepted at INTERSPEECH 2021, Shortlisted for best student paper, arXiv. …

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ORIGINAL ARTICLE

WEB&get_box_var;ORIGINAL ARTICLE Multicenter Development and Validation of a Risk Stratiﬁcation Tool for Ward Patients Matthew M. Churpek1,2, Trevor C. Yuen1, …

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Breathing Rate Estimation From the Electrocardiogram and

WEBThese BR algorithms provide opportunity for automated, electronic, and unobtrusive measurement of BR in both healthcare and fitness monitoring. This paper presents a …

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Stable Distributions for Heavy-Tailed Data and Their …

WEBSundaram S, McDonald K Optimized Systems and Solutions Limited 174F, Brook House, Milton Park, Oxfordshire OX14 4SE +44 1235 433 574. [email protected]. …

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Battery health prediction under generalized conditions using …

WEB4. Methods 4.1.Inputfeatureextraction Eachloadpattern,u i,maycontainwithinitanarbitrarynumberof timesteps,N …

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D. The Photoplethysmogram

WEBB18/BME2 Biomedical Instrumentation Light detection Photodiodes are the simplest solid-state optical detectors. When light falls on the p-n junction region, an electron-hole pair …

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832 IEEE JOURNAL OF BIOMEDICAL AND HEALTH …

WEBIn this paper, we present a sig-nal quality index (SQI), which is intended to assess whether reliable heart rates (HRs) can be obtained from electrocardiogram (ECG) and …

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