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Comprehensive evaluation of machine learning algorithms for..:

Xue Li ; Chiaki Ono ; Noriko Warita...
https://www.frontiersin.org/articles/10.3389/fpsyt.2023.1104222/full. , 2023

Link: https://doi.org/10.3389/fpsyt.2023.1104222

RT Journal
T1 <Title>Comprehensive evaluation of machine learning algorithms for predicting sleep–wake conditions and differentiating between the wake conditions before and after sleep during pregnancy based on heart rate variability</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:d5bae1698d4b4dbeb9d91b687f796fe6&Exemplar=1&LAN=DE
				
A1 Xue Li
A1 Chiaki Ono
A1 Noriko Warita
A1 Tomoka Shoji
A1 Takashi Nakagawa
A1 Hitomi Usukura
A1 Zhiqian Yu
A1 Yuta Takahashi
A1 Kei Ichiji
A1 Norihiro Sugita
A1 Natsuko Kobayashi
A1 Saya Kikuchi
A1 Ryoko Kimura
A1 Yumiko Hamaie
A1 Mizuki Hino
A1 Yasuto Kunii
A1 Keiko Murakami
A1 Mami Ishikuro
A1 Taku Obara
A1 Tomohiro Nakamura
A1 Fuji Nagami
A1 Takako Takai
A1 Soichi Ogishima
A1 Junichi Sugawara
A1 Tetsuro Hoshiai
A1 Masatoshi Saito
A1 Gen Tamiya
A1 Nobuo Fuse
A1 Susumu Fujii
A1 Masaharu Nakayama
A1 Shinichi Kuriyama
A1 Masayuki Yamamoto
A1 Nobuo Yaegashi
A1 Noriyasu Homma
A1 Hiroaki Tomita
PB Frontiers Media S.A.
YR 2023
K1 deep learning
K1 heart rate variability
K1 machine learning
K1 pregnant women
K1 sleep condition
K1 wake condition
K1 Psychiatry
K1 RC435-571
JF https://www.frontiersin.org/articles/10.3389/fpsyt.2023.1104222/full
LK http://dx.doi.org/https://doi.org/10.3389/fpsyt.2023.1104222
DO https://doi.org/10.3389/fpsyt.2023.1104222
SF ELIB - SuUB Bremen

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