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Eri Nakahara

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Masui. the Japanese Journal of Anesthesiology|August 13, 2003
[Postoperative recurrence of venous thromboembolism in patients with episodes of preoperative thromboembolism]Masayuki Kuroiwa, Masayasu Arai, Eri Nakahara, et al.
Masui. the Japanese Journal of Anesthesiology|March 10, 2011
[Two cases of preceded aortic valve replacement for severe aortic stenosis before the cancer operations]Takaaki Nakano, Hisae Saitoh, Katsuhiko Satoh, et al.
Masui. the Japanese Journal of Anesthesiology|November 26, 2009
[Unilateral deterioration of regional cerebral oxygen saturation in a patient with bilateral stenosis of the internal carotid artery during laparoscopic operation]Masayoshi Zaitsu, Toshiyuki Okutomi, Eri Nakahara, et al.
Journal of Neuroimmunology|July 23, 2015
A diagnostic approach for identifying anti-neuronal antibodies in children with suspected autoimmune encephalitisEri Nakahara, Hiroshi Sakuma, Junko Kimura-Kuroda, et al.
JMIR Medical Informatics|June 2, 2025
Enhancing Antidiabetic Drug Selection Using Transformers: Machine-Learning Model DevelopmentHisashi Kurasawa, Kayo Waki, Tomohisa Seki, et al.
Brain & Development|October 29, 2015
Efficacy and tolerability of high-dose phenobarbital in children with focal seizuresAkihisa Okumura, Eri Nakahara, Mitsuru Ikeno, et al.
Human Genome Variation|September 3, 2025
A case of Dravet syndrome with a novel SCN1A gross deletion involving the promoter regionEri Nakahara Sakamoto, Shino Shimada, Tokito Yamaguchi, et al.
Heliyon|January 14, 2025
Predicting rapid decline in kidney function among type 2 diabetes patients: A machine learning approachEri Nakahara, Kayo Waki, Hisashi Kurasawa, et al.
Brain & Development|May 20, 2014
Anti-aquaporin 4 antibody-positive acute disseminated encephalomyelitisAkihisa Okumura, Mika Nakazawa, Ayuko Igarashi, et al.
JMIR AI|July 18, 2024
Enhancing Type 2 Diabetes Treatment Decisions With Interpretable Machine Learning Models for Predicting Hemoglobin A1c Changes: Machine Learning Model DevelopmentHisashi Kurasawa, Kayo Waki, Tomohisa Seki, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Masui. the Japanese Journal of Anesthesiology|August 13, 2003
[Postoperative recurrence of venous thromboembolism in patients with episodes of preoperative thromboembolism]Masayuki Kuroiwa, Masayasu Arai, Eri Nakahara, et al.
Masui. the Japanese Journal of Anesthesiology|March 10, 2011
[Two cases of preceded aortic valve replacement for severe aortic stenosis before the cancer operations]Takaaki Nakano, Hisae Saitoh, Katsuhiko Satoh, et al.
Masui. the Japanese Journal of Anesthesiology|November 26, 2009
[Unilateral deterioration of regional cerebral oxygen saturation in a patient with bilateral stenosis of the internal carotid artery during laparoscopic operation]Masayoshi Zaitsu, Toshiyuki Okutomi, Eri Nakahara, et al.
Journal of Neuroimmunology|July 23, 2015
A diagnostic approach for identifying anti-neuronal antibodies in children with suspected autoimmune encephalitisEri Nakahara, Hiroshi Sakuma, Junko Kimura-Kuroda, et al.
JMIR Medical Informatics|June 2, 2025
Enhancing Antidiabetic Drug Selection Using Transformers: Machine-Learning Model DevelopmentHisashi Kurasawa, Kayo Waki, Tomohisa Seki, et al.
Brain & Development|October 29, 2015
Efficacy and tolerability of high-dose phenobarbital in children with focal seizuresAkihisa Okumura, Eri Nakahara, Mitsuru Ikeno, et al.
Human Genome Variation|September 3, 2025
A case of Dravet syndrome with a novel SCN1A gross deletion involving the promoter regionEri Nakahara Sakamoto, Shino Shimada, Tokito Yamaguchi, et al.
Heliyon|January 14, 2025
Predicting rapid decline in kidney function among type 2 diabetes patients: A machine learning approachEri Nakahara, Kayo Waki, Hisashi Kurasawa, et al.
Brain & Development|May 20, 2014
Anti-aquaporin 4 antibody-positive acute disseminated encephalomyelitisAkihisa Okumura, Mika Nakazawa, Ayuko Igarashi, et al.
JMIR AI|July 18, 2024
Enhancing Type 2 Diabetes Treatment Decisions With Interpretable Machine Learning Models for Predicting Hemoglobin A1c Changes: Machine Learning Model DevelopmentHisashi Kurasawa, Kayo Waki, Tomohisa Seki, et al.
Pageof 2