Natsuko Kobayashi
Biographic Data
| ID | 7575004 |
|---|---|
| NAME | Natsuko Kobayashi |
| GIVEN NAMES | Natsuko |
| FAMILY NAME | Kobayashi |
| SIGNATURE | KOBAYASHI N |
| AFFILIATIONS | Tohoku University Hospital |
| VERIFIED | No |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
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…
In the test for predicting three types of sleep-wake conditions, most of the algorithms, except for Naïve Bayes, showed higher areas under the curve (AUCs; 0.82-0.88) and accuracy (0.78-0.81). The test using four types of sleep-wake conditions with differentiation between the wake conditions before and after sleep also resulted in successful prediction by the gated recurrent unit with the highest AUC (0.86) and accuracy (0.79). Among the nine fea…
Awareness of Infectious Disease Screening During Early Pregnancy and Knowledge About its Vertical Transmission in Japan
Pregnant women in Japan had generally good levels of understanding regarding their results in early-pregnancy infectious disease screening. However, they had insufficient knowledge regarding mother-to-child transmission of these diseases. Health care providers should raise awareness in infectious disease prevention among pregnant women and the general public, providing appropriate measures and implementing effective perinatal checkups and follow-…
Heart Rate Information-Based Machine Learning Prediction of Emotions Among Pregnant Women
In this study, the extent to which different emotions of pregnant women can be predicted based on heart rate-relevant information as indicators of autonomic nervous system functioning was explored using various machine learning algorithms. Nine heart rate-relevant autonomic system indicators, including the coefficient of variation R-R interval (CVRR), standard deviation of all NN intervals (SDNN), and square root of the mean squared differences o…
Variations in village-level performances related to reducing deforestation and forest degradation associated with a Redd+ project in northern Lao People’s Democratic Republic
Experiences of perinatal women and public healthcare providers in a community affected by the great east Japan earthquake and tsunami
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Experiences of perinatal women and public healthcare providers in a community affected by the great east Japan earthquake and tsunami
Variations in village-level performances related to reducing deforestation and forest degradation associated with a Redd+ project in northern Lao People’s Democratic Republic
Heart Rate Information-Based Machine Learning Prediction of Emotions Among Pregnant Women
In this study, the extent to which different emotions of pregnant women can be predicted based on heart rate-relevant information as indicators of autonomic nervous system functioning was explored using various machine learning algorithms. Nine heart rate-relevant autonomic system indicators, including the coefficient of variation R-R interval (CVRR), standard deviation of all NN intervals (SDNN), and square root of the mean squared differences o…
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…
In the test for predicting three types of sleep-wake conditions, most of the algorithms, except for Naïve Bayes, showed higher areas under the curve (AUCs; 0.82-0.88) and accuracy (0.78-0.81). The test using four types of sleep-wake conditions with differentiation between the wake conditions before and after sleep also resulted in successful prediction by the gated recurrent unit with the highest AUC (0.86) and accuracy (0.79). Among the nine fea…
Awareness of Infectious Disease Screening During Early Pregnancy and Knowledge About its Vertical Transmission in Japan
Pregnant women in Japan had generally good levels of understanding regarding their results in early-pregnancy infectious disease screening. However, they had insufficient knowledge regarding mother-to-child transmission of these diseases. Health care providers should raise awareness in infectious disease prevention among pregnant women and the general public, providing appropriate measures and implementing effective perinatal checkups and follow-…
Medicine (4 works) · Internal Medicine (3 works) · Artificial Intelligence (2 works) · Computer Science (2 works) · Heart rate (2 works) · Heart rate variability (2 works) · Heart Rate Variability and Autonomic Control (2 works) · Machine learning (2 works) · Neonatal and fetal brain pathology (2 works) · Nursing (2 works)