Severity detection tool for patients with infectious disease

Severity detection tool for patients with infectious disease

Hand foot and mouth disease (HFMD) and tetanus are serious infectious diseases in low- and middle-income countries. Tetanus, in particular, has a high mortality rate and its treatment is resource-demanding. Furthermore, HFMD often affects a large number of infants and young children. As a result, it...

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Bibliographic Details
Main Authors: Girmaw Abebe Tadesse, Tingting Zhu, Nhan Le Nguyen Thanh, Nguyen Thanh Hung, Ha Thi Hai Duong, Truong Huu Khanh, Pham Van Quang, Duc Duong Tran, Lam Minh Yen, Rogier Van Doorn, Nguyen Van Hao, John Prince, Hamza Javed, Dani Kiyasseh, Le Van Tan, Louise Thwaites, David A. Clifton
Format: Article
Language:English
Published: Wiley 2020-02-01
Series:Healthcare Technology Letters
Subjects:
support vector machines
cardiology
electrocardiography
patient care
neurophysiology
patient diagnosis
diseases
learning (artificial intelligence)
patient treatment
medical signal processing
medical computing
health care
feature extraction
severity detection tool
infectious disease
hfmd
serious infectious diseases
middle-income countries
high mortality rate
resource-demanding
young children
enormous healthcare resources
autonomic nervous system dysfunction
tetanus patients
difficult problem
proof-of-principle
ansd level
physiological patient data
electrocardiogram
photoplethysmogram waveforms
low-cost wearable sensors
frequency domains
support vector machine
classifying ansd levels
standard heart rate variability analysis
Online Access:https://digital-library.theiet.org/content/journals/10.1049/htl.2019.0030

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https://digital-library.theiet.org/content/journals/10.1049/htl.2019.0030

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