| Machine-learning-based prediction models for high-need high-cost patients using nationwide clinical and claims data I Osawa, T Goto, Y Yamamoto, Y Tsugawa NPJ digital medicine 3 (1), 148, 2020 | 37 | 2020 |
| Dynamic changes in fibrinogen and D-dimer levels in COVID-19 patients on nafamostat mesylate I Osawa, K Okamoto, M Ikeda, A Otani, Y Wakimoto, M Yamashita, ... Journal of Thrombosis and Thrombolysis 51, 649-656, 2021 | 26 | 2021 |
| Physician visits and medication prescriptions for major chronic diseases during the COVID-19 pandemic in Japan: retrospective cohort study I Osawa, T Goto, Y Asami, N Itoh, Y Kaga, Y Yamamoto, Y Tsugawa BMJ open 11 (7), e050938, 2021 | 22 | 2021 |
| Machine-learning approaches to identify determining factors of happiness during the COVID-19 pandemic: retrospective cohort study I Osawa, T Goto, T Tabuchi, HK Koga, Y Tsugawa BMJ open 12 (12), e054862, 2022 | 10 | 2022 |
| Risk factors of sepsis among patients with qSOFA< 2 in the emergency department J Shibata, I Osawa, H Ito, S Soeno, K Hara, T Sonoo, K Nakamura, T Goto The American Journal of Emergency Medicine 50, 699-706, 2021 | 10 | 2021 |
| Targeted therapy using polymyxin B hemadsorption in patients with sepsis: a post-hoc analysis of the JSEPTIC-DIC study and the EUPHRATES trial I Osawa, T Goto, D Kudo, M Hayakawa, K Yamakawa, S Kushimoto, ... Critical Care 27 (1), 245, 2023 | 8 | 2023 |
| Clinical performance of early warning scoring systems for identifying sepsis among anti-hypertensive agent users I Osawa, T Sonoo, S Soeno, K Hara, K Nakamura, T Goto The American Journal of Emergency Medicine 48, 120-127, 2021 | 7 | 2021 |
| Characteristics and subgroups of frequent emergency department users in an academic hospital in Japan I Osawa, T Sato, T Goto, T Sonoo, S Iwai, S Nakajima Acute Medicine & Surgery 7 (1), e535, 2020 | 5 | 2020 |
| Medication prescription in older people receiving home medical care services. K Kidana, S Ishii, I Osawa, A Yoneda, K Yamaguchi, Y Yamaguchi, K Tsuji, ... Geriatrics & Gerontology International 19 (12), 2019 | 4 | 2019 |
| The prognostic utility of prehospital qSOFA in addition to emergency department qSOFA for sepsis in patients with suspected infection: A retrospective cohort study A Saito, I Osawa, J Shibata, T Sonoo, K Nakamura, T Goto PLoS One 18 (2), e0282148, 2023 | 2 | 2023 |
| The Association Between Time From Emergency Department Visit to ICU Admission and Mortality in Patients With Sepsis J Shibata, I Osawa, K Fukuchi, T Goto Critical Care Explorations 5 (5), e0915, 2023 | 1 | 2023 |
| Monitoring the Resolution of Acute Exacerbation of Airway Bronchoconstriction in an Asthma Attack Using Capnogram Waveforms M Shikama, M Yamamoto, I Osawa, T Sato, I Hirayama, N Hayase, ... Critical Care Explorations 5 (4), e0899, 2023 | 1 | 2023 |
| The Contribution of Chest X-Ray to Predict Extubation Failure in Mechanically Ventilated Patients Using Machine Learning-Based Algorithms K Fukuchi, I Osawa, S Satake, H Ito, J Shibata, E Dohi, D Kasugai, ... Critical Care Explorations 4 (6), e0718, 2022 | 1 | 2022 |
| Machine Learning Detects Heterogeneous Effects of Medicaid Coverage on Depression R Goto, K Inoue, I Osawa, K Baicker, SL Fleming, Y Tsugawa American Journal of Epidemiology, kwae008, 2024 | | 2024 |
| Mortality After Alcohol Septal Ablation vs. Septal Myectomy in Patients With Obstructive Hypertrophic Cardiomyopathy R Yasuda, I Osawa, T Goto, K Hasegawa, MA Fifer, A Tower-Rader, ... Circulation Reports, CR-23-0101, 2024 | | 2024 |
| Effectiveness of Remdesivir for Hospitalized COVID-19 Patients Depending on the Severity of Respiratory Status: A Multicenter Retrospective Study in Japan H Yoshimoto, K Yamakawa, Y Tanaka, I Osawa, T Tagami, A Endo, ... | | 2024 |
| Trauma mechanisms and patterns of blunt cervical vascular injury: A descriptive study using a nationwide trauma registry J Shibata, Y Okada, I Osawa, A Shiraishi, T Goto The American Journal of Emergency Medicine 71, 117-122, 2023 | | 2023 |
| Authors’ reply to the comment from Uchida et al. I Osawa, K Doi Critical Care 27 (1), 327, 2023 | | 2023 |
| Machine-learning-based prediction models for high-need high-cost patients using I Osawa, T Goto, Y Yamamoto NPJ digital medicine, 3 (1), 2020 | | 2020 |
| Heterogeneous Effects of Medicaid Coverage on Emergency Department Visits: A Machine Learning-Based Analysis of Oregon Health Insurance Experiment data I Osawa | | |
Tadahiro GotoTXP Medical / The University of Tokyo確認したメール アドレス: mail.harvard.edu
