User profiles for "author:Tadahiro Goto"
Tadahiro GotoTXP Medical / The University of Tokyo Verified email at mail.harvard.edu Cited by 2955 |
[HTML][HTML] Emergency department triage prediction of clinical outcomes using machine learning models
Background Development of emergency department (ED) triage systems that accurately
differentiate and prioritize critically ill from stable patients remains challenging. We used …
differentiate and prioritize critically ill from stable patients remains challenging. We used …
Trends in bronchiolitis hospitalizations in the United States: 2000–2016
M Fujiogi, T Goto, H Yasunaga, J Fujishiro… - …, 2019 - publications.aap.org
OBJECTIVES: To investigate the temporal trend in the national incidence of bronchiolitis
hospitalizations, their characteristics, inpatient resource use, and hospital cost from 2000 …
hospitalizations, their characteristics, inpatient resource use, and hospital cost from 2000 …
Machine learning–based prediction of clinical outcomes for children during emergency department triage
Importance While machine learning approaches may enhance prediction ability, little is
known about their utility in emergency department (ED) triage. Objectives To examine the …
known about their utility in emergency department (ED) triage. Objectives To examine the …
Advancing emergency airway management practice and research
T Goto, Y Goto, Y Hagiwara, H Okamoto… - Acute Medicine & …, 2019 - Wiley Online Library
Emergency airway management is one of the vital resuscitative procedures undertaken in
the emergency department (ED). Despite its clinical and research importance in the care of …
the emergency department (ED). Despite its clinical and research importance in the care of …
Machine learning approaches for predicting disposition of asthma and COPD exacerbations in the ED
Objective The prediction of emergency department (ED) disposition at triage remains
challenging. Machine learning approaches may enhance prediction. We compared the …
challenging. Machine learning approaches may enhance prediction. We compared the …
Machine learning in gastrointestinal surgery
T Sakamoto, T Goto, M Fujiogi, A Kawarai Lefor - Surgery Today, 2022 - Springer
Abstract Machine learning (ML) is a collection of algorithms allowing computers to learn
directly from data without predetermined equations. It is used widely to analyze “big data”. In …
directly from data without predetermined equations. It is used widely to analyze “big data”. In …
Proposed preoperative risk factors for early recurrence in patients with resectable pancreatic ductal adenocarcinoma after surgical resection: a multi-center …
I Matsumoto, Y Murakami, M Shinzeki, S Asari, T Goto… - Pancreatology, 2015 - Elsevier
Background/objective Although surgical resection remains the only chance for cure in
patients with pancreatic ductal adenocarcinoma (PDAC), postoperative early recurrence …
patients with pancreatic ductal adenocarcinoma (PDAC), postoperative early recurrence …
Recurrent mitral regurgitation after MitraClip: predictive factors, morphology, and clinical implication
Background: Recurrent mitral regurgitation (MR) following MitraClip has not been thoroughly
investigated. We aimed to examine the predictive factors, morphology, and long-term …
investigated. We aimed to examine the predictive factors, morphology, and long-term …
[HTML][HTML] Incidence of acute cardiovascular event after acute exacerbation of COPD
Background There is a lack of comprehensive view of the association between acute
exacerbation of COPD (AECOPD) and the risk of acute cardiovascular events. Objective To …
exacerbation of COPD (AECOPD) and the risk of acute cardiovascular events. Objective To …
[HTML][HTML] Coagulation phenotypes in sepsis and effects of recombinant human thrombomodulin: an analysis of three multicentre observational studies
D Kudo, T Goto, R Uchimido, M Hayakawa… - Critical Care, 2021 - Springer
Background A recent randomised trial showed that recombinant thrombomodulin did not
benefit patients who had sepsis with coagulopathy and organ dysfunction. Several recent …
benefit patients who had sepsis with coagulopathy and organ dysfunction. Several recent …