User profiles for "author:Tadahiro Goto"

Tadahiro Goto

TXP 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

Y Raita, T Goto, MK Faridi, DFM Brown, CA Camargo… - Critical care, 2019 - Springer
Background Development of emergency department (ED) triage systems that accurately
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 …

Machine learning–based prediction of clinical outcomes for children during emergency department triage

T Goto, CA Camargo, MK Faridi, RJ Freishtat… - JAMA network …, 2019 - jamanetwork.com
Importance While machine learning approaches may enhance prediction ability, little is
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 …

Machine learning approaches for predicting disposition of asthma and COPD exacerbations in the ED

T Goto, CA Camargo Jr, MK Faridi, BJ Yun… - The American journal of …, 2018 - Elsevier
Objective The prediction of emergency department (ED) disposition at triage remains
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 …

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 …

Recurrent mitral regurgitation after MitraClip: predictive factors, morphology, and clinical implication

A Sugiura, R Kavsur, M Spieker, C Iliadis… - Circulation …, 2022 - Am Heart Assoc
Background: Recurrent mitral regurgitation (MR) following MitraClip has not been thoroughly
investigated. We aimed to examine the predictive factors, morphology, and long-term …

[HTML][HTML] Incidence of acute cardiovascular event after acute exacerbation of COPD

T Goto, YJ Shimada, MK Faridi, CA Camargo… - Journal of general …, 2018 - Springer
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 …

[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 …