1. A functional learning health system in Japan: Experience with processes and information infrastructure toward continuous health improvement. Issue 4 (12th November 2020) Authors: Soejima, Hidehisa; Matsumoto, Kautarou; Nakashima, Naoki; Nohara, Yasunobu; Yamashita, Takanori; Machida, Jiro; Nakaguma, Hideki Journal: Learning health systems Issue: Volume 5:Issue 4(2021) Page Start: n/a Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Cost‐Effectiveness of Maintenance Hemodialysis in Japan. Issue 5 (21st September 2015) Authors: Takura, Tomoyuki; Nakanishi, Takeshi; Kawanishi, Hideki; Nitta, Kosaku; Akizawa, Tadao; Hiramatsu, Makoto; Kawasaki, Tadayuki; Kukita, Kazutaka; Soejima, Hidehisa; Hirakata, Hideki; Yoshida, Toyohiko; Miyamoto, Takashi; Takahashi, Susumu Journal: Therapeutic apheresis and dialysis Issue: Volume 19:Issue 5(2015) Page Start: 441 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Explanation of machine learning models using shapley additive explanation and application for real data in hospital. (February 2022) Authors: Nohara, Yasunobu; Matsumoto, Koutarou; Soejima, Hidehisa; Nakashima, Naoki Journal: Computer methods and programs in biomedicine Issue: Volume 214(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Impact of a learning health system on acute care and medical complications after intracerebral hemorrhage. Issue 2 (10th March 2020) Authors: Matsumoto, Koutarou; Nohara, Yasunobu; Wakata, Yoshifumi; Yamashita, Takanori; Kozuma, Yukio; Sugeta, Rui; Yamakawa, Miki; Yamauchi, Fumiko; Miyashita, Eri; Takezaki, Tatsuya; Yamashiro, Shigeo; Nishi, Toru; Machida, Jiro; Soejima, Hidehisa; Kamouchi, Masahiro; Nakashima, Naoki Journal: Learning health systems Issue: Volume 5:Issue 2(2021) Page Start: n/a Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. Machine learning for classification of postoperative patient status using standardized medical data. (February 2022) Authors: Yamashita, Takanori; Wakata, Yoshifumi; Nakaguma, Hideki; Nohara, Yasunobu; Hato, Shinji; Kawamura, Susumu; Muraoka, Shuko; Sugita, Masatoshi; Okada, Mihoko; Nakashima, Naoki; Soejima, Hidehisa Journal: Computer methods and programs in biomedicine Issue: Volume 214(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. P1298SEASONAL VRIABILITIES OF HOME AND CLINIC BLOOD PRESSURE IN HEMODIALYSIS PATIENTS ARE DPEND ON VOLUME STATUS AND TEMPERATURE CHANGE IN MULTICENTER OF VARIOUS DISTRICTS IN JAPAN. (6th June 2020) Authors: Ryuzaki, Munekazu; Komatsu, Motoaki; Soejima, Hidehisa; Soejima, Kazuaki; Ebihara, Itaru; Imai, Tsuyoshi; Yasunaga, Chikao; Suzuki, Yasushi; Hiramatsu, Makoto Journal: Nephrology dialysis transplantation Issue: Volume 35(2020)Supplement 3 Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. Stroke Prognostic Scores and Data-Driven Prediction of Clinical Outcomes After Acute Ischemic Stroke. Issue 5 (May 2020) Authors: Matsumoto, Koutarou; Nohara, Yasunobu; Soejima, Hidehisa; Yonehara, Toshiro; Nakashima, Naoki; Kamouchi, Masahiro Journal: Stroke Issue: Volume 51:Issue 5(2020) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗