日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

A machine learning approach to predicting severe diabetes distress in adults with type 1 diabetes mellitus

利用机器学习方法预测1型糖尿病成人患者的严重糖尿病困扰

Sakane, Naoki; Hirota, Yushi; Yamamoto, Akane; Miura, Junnosuke; Takaike, Hiroko; Hoshina, Sari; Toyoda, Masao; Saito, Nobumichi; Hosoda, Kiminori; Matsubara, Masaki; Tone, Atsuhito; Kawashima, Satoshi; Sawaki, Hideaki; Matsuda, Tomokazu; Domichi, Masayuki; Suganuma, Akiko; Sakane, Seiko; Murata, Takashi

Identification of severe hypoglycemia in adults with type 1 diabetes using CGM-based machine learning: evidence from the FGM-Japan study

利用基于 CGM 的机器学习方法识别 1 型糖尿病成人患者的严重低血糖:来自 FGM-Japan 研究的证据

Sakane, Naoki; Hirota, Yushi; Yamamoto, Akane; Miura, Junnosuke; Takaike, Hiroko; Hoshina, Sari; Toyoda, Masao; Saito, Nobumichi; Hosoda, Kiminori; Matsubara, Masaki; Tone, Atsuhito; Kawashima, Satoshi; Sawaki, Hideaki; Matsuda, Tomokazu; Domichi, Masayuki; Suganuma, Akiko; Sakane, Seiko; Murata, Takashi

Hypoglycemia problem-solving ability as a key predictor of severe hypoglycemia: a machine learning approach in adults with type 1 diabetes

低血糖问题解决能力作为严重低血糖的关键预测指标:一项针对1型糖尿病成人患者的机器学习研究

Sakane, Naoki; Kato, Ken; Hata, Sonyun; Nishimura, Erika; Araki, Rika; Kouyama, Kunichi; Hatao, Masako; Matoba, Yuka; Matsushita, Yuichi; Domichi, Masayuki; Suganuma, Akiko; Sakane, Seiko; Murata, Takashi; Wu, Fei Ling

Comparing the Validity of Three Methods for Identifying Impaired Awareness of Hypoglycemia in Predicting Severe Hypoglycemia in Adults with Type 1 Diabetes Mellitus: The PR-IAH Study

比较三种识别低血糖感知障碍的方法在预测1型糖尿病成人严重低血糖方面的有效性:PR-IAH研究

Sakane, Naoki; Kato, Ken; Hata, Sonyun; Nishimura, Erika; Araki, Rika; Kouyama, Kunichi; Hatao, Masako; Matoba, Yuka; Matsushita, Yuichi; Domichi, Masayuki; Suganuma, Akiko; Sakane, Seiko; Murata, Takashi

Subjective assessment of sensory function and oral function decline in older adults

老年人感觉功能和口腔功能下降的主观评估

Ichikawa, Tetsuo; Koda, Tomoya; Kitamura, Mio; Kishimoto, Takahiro; Matsuda, Takashi; Goto, Takaharu; Domichi, Masayuki; Suganuma, Akiko; Fujiwara, Shinji; Shirayama, Yasuhiko; Kotani, Kazuhiko; Sakane, Naoki

Application of machine learning for detecting high fall risk in middle-aged workers using video-based analysis of the first 3 steps

应用机器学习技术,通过对前三个步骤的视频分析,检测中年工人的高跌倒风险。

Sakane, Naoki; Yamauchi, Ken; Kutsuna, Ippei; Suganuma, Akiko; Domichi, Masayuki; Hirano, Kei; Wada, Kengo; Ishimaru, Masashi; Hosokawa, Mitsuharu; Izawa, Yosuke; Matsumura, Yoshihiro; Hozumi, Junichi

Association of impaired awareness of hypoglycemia and real-time continuous glucose monitoring with the occurrence and frequency of severe hypoglycemia in adults with type 1 diabetes mellitus: a real-world panel data analysis from the PR-IAH study

PR-IAH 研究的真实世界面板数据分析:低血糖感知障碍和实时连续血糖监测与 1 型糖尿病成人严重低血糖的发生率和频率之间的关联

Sakane, Naoki; Kato, Ken; Hata, Sonyun; Nishimura, Erika; Araki, Rika; Kouyama, Kunichi; Hatao, Masako; Matoba, Yuka; Matsushita, Yuichi; Domichi, Masayuki; Suganuma, Akiko; Sakane, Seiko; Murata, Takashi

Cost-effective analysis focused on hypoglycemia of intermittent-scanning continuous glucose monitoring in type 1 diabetes adults: a ISCHIA randomized clinical trial

一项针对1型糖尿病成人间歇扫描式连续血糖监测低血糖风险的成本效益分析:一项ISCHIA随机临床试验

Sakane, Naoki; Matsuhisa, Munehide; Kuroda, Akio; Miura, Junnosuke; Hirota, Yushi; Kato, Ken; Toyoda, Masao; Kouyama, Ryuji; Kouyama, Kunichi; Shimada, Akira; Kawashima, Satoshi; Matoba, Yuka; Meguro, Shu; Kusunoki, Yoshiki; Hida, Kazuyuki; Tanaka, Tsuyoshi; Domichi, Masayuki; Suganuma, Akiko; Suzuki, Shota; Tone, Atsuhito; Hosoda, Kiminori; Murata, Takashi

Associations between clustering of hypoglycemic symptoms, psychological traits, and problem-solving abilities in adults with type 1 diabetes: baseline data analysis of the PR-IAH study

1 型糖尿病成人低血糖症状聚集、心理特征和问题解决能力之间的关联:PR-IAH 研究的基线数据分析

Sakane, Naoki; Kato, Ken; Hata, Sonyun; Nishimura, Erika; Araki, Rika; Kouyama, Kunichi; Hatao, Masako; Matoba, Yuka; Matsushita, Yuichi; Domichi, Masayuki; Suganuma, Akiko; Sakane, Seiko; Murata, Takashi; Wu, Fei Ling

Efficacy of carbohydrate counting in people with type 1 and type 2 diabetes mellitus: a systematic review and meta-analysis

碳水化合物计数法对1型和2型糖尿病患者的疗效:系统评价和荟萃分析

Sakane, Naoki; Domichi, Masayuki; Suganuma, Akiko