Junichi Sugawara
Biographic Data
| ID | 7820302 |
|---|---|
| NAME | Junichi Sugawara |
| GIVEN NAMES | Junichi |
| FAMILY NAME | Sugawara |
| SIGNATURE | SUGAWARA J |
| AFFILIATIONS | Tohoku Medical Megabank Organization |
| ORCID | 0000-0001-8026-2550 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Association between being Overweight in Young Childhood and during School Age and Puberty
To examine whether body type at birth, body weight, and obesity in early childhood are associated with overweight/obesity during school age and puberty. Data from maternal and child health handbooks, baby health checkup information, and school physical examination information of participants at birth and three-generation cohort studies were linked. Association between body type and body weight at different time intervals (at birth and at 1.5, 3.5…
Timing of Primary Tooth Eruption in Infants Observed by Their Parents
The eruption timing observed and described by the parents is earlier than that examined by dentists at regular check-ups. In addition to examining the primary teeth eruption of full-term birth children, we also examined that of preterm birth children because of the increasing number of premature births. To the best of our knowledge, this is the first report from a large cohort study to clarify the eruption time of primary teeth monitored by paren…
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…
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…
Relationship trajectories of pregnant women with their parents and postpartum depression
Women who felt that their relationship with parents "deteriorated" or was "consistently unsatisfactory" during pregnancy showed significant risk of PPD. Paying attention to the pregnant women's feelings about the relationship with their parents and promoting positive change may help predict and prevent PPD
Validity of Administrative Data for Identifying Birth-Related Outcomes with the End Date of Pregnancy in a Japanese University Hospital
This study aimed to develop and validate claims-based algorithms for identifying live birth, fetal death, and cesarean section by utilizing administrative data from a university hospital in Japan. We included women who visited the Department of Obstetrics at a university hospital in 2018. The diagnosis, medical procedures, and medication data were used to identify potential cases of live birth, fetal death, and cesarean section. By reviewing elec…
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
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…
Relationship trajectories of pregnant women with their parents and postpartum depression
Women who felt that their relationship with parents "deteriorated" or was "consistently unsatisfactory" during pregnancy showed significant risk of PPD. Paying attention to the pregnant women's feelings about the relationship with their parents and promoting positive change may help predict and prevent PPD
Validity of Administrative Data for Identifying Birth-Related Outcomes with the End Date of Pregnancy in a Japanese University Hospital
This study aimed to develop and validate claims-based algorithms for identifying live birth, fetal death, and cesarean section by utilizing administrative data from a university hospital in Japan. We included women who visited the Department of Obstetrics at a university hospital in 2018. The diagnosis, medical procedures, and medication data were used to identify potential cases of live birth, fetal death, and cesarean section. By reviewing elec…
Association between being Overweight in Young Childhood and during School Age and Puberty
To examine whether body type at birth, body weight, and obesity in early childhood are associated with overweight/obesity during school age and puberty. Data from maternal and child health handbooks, baby health checkup information, and school physical examination information of participants at birth and three-generation cohort studies were linked. Association between body type and body weight at different time intervals (at birth and at 1.5, 3.5…
Timing of Primary Tooth Eruption in Infants Observed by Their Parents
The eruption timing observed and described by the parents is earlier than that examined by dentists at regular check-ups. In addition to examining the primary teeth eruption of full-term birth children, we also examined that of preterm birth children because of the increasing number of premature births. To the best of our knowledge, this is the first report from a large cohort study to clarify the eruption time of primary teeth monitored by paren…
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…
Medicine (7 works) · Internal Medicine (4 works) · Psychology (4 works) · Pregnancy (3 works) · Artificial Intelligence (2 works) · Cohort (2 works) · Computer Science (2 works) · Heart rate (2 works) · Heart rate variability (2 works) · Heart Rate Variability and Autonomic Control (2 works)