Detection of Bacteremia in Surgical In-Patients Using Recurrent Neural Network Based on Time Series Records: Development and Validation Study

Prediction of postoperative pulmonary complications

(2019) Sunny G. Nijbroek et al.   Current Opinion in Anesthesiology

Data-driven discovery of a novel sepsis pre-shock state predicts impending septic shock in the ICU

(2019) Ran Liu et al.   Scientific Reports

A clinically applicable approach to continuous prediction of future acute kidney injury

(2019) Nenad Tomašev et al.   NATURE

Early Detection of Bacteraemia Using Ten Clinical Variables with an Artificial Neural Network Approach

(2019) Kyoung Hwa Lee et al.   Journal of Clinical Medicine

An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU

(2018) Shamim Nemati et al.   CRITICAL CARE MEDICINE

Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU

(2018) Qingqing Mao et al.   BMJ Open

Prehospital antibiotics in the ambulance for sepsis: a multicentre, open label, randomised trial

(2018) Nadia Alam et al.   Lancet Respiratory Medicine

The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3)

(2016) Mervyn Singer et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Pulmonary complications after abdominal surgery in patients with mild-to-moderate chronic obstructive pulmonary disease

(2016) Tae Hoon Kim et al.   International Journal of Chronic Obstructive Pulmonary Disease

A De-identification Method for Bilingual Clinical Texts of Various Note Types

(2015) Soo-Yong Shin et al.   JOURNAL OF KOREAN MEDICAL SCIENCE

A targeted real-time early warning score (TREWScore) for septic shock

(2015) Katharine E. Henry et al.   Science Translational Medicine

Surviving Sepsis Campaign

(2013) R. Phillip Dellinger et al.   CRITICAL CARE MEDICINE

The Clinical Importance of Microbiological Findings in the Diagnosis and Management of Bloodstream Infections

(2009) Harald Seifert   CLINICAL INFECTIOUS DISEASES

A new boosting algorithm for improved time-series forecasting with recurrent neural networks

(2006) Mohammad Assaad et al.   Information Fusion