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Related papers: The Evolving Definition of Sepsis

200 papers

Acute vascular endothelial dysfunction is a central event in the pathogenesis of sepsis,increasing vascular permeability, promoting activation of the coagulation cascade, tissue edema and compromising perfusion of vital organs. Aging and…

Tissues and Organs · Quantitative Biology 2018-10-31 Jesus F Bermejo-Martin , Marta Martín-Fernandez , Cristina López-Mestanza , Patricia Duque , Raquel Almansa

Sepsis, a life-threatening condition triggered by the body's exaggerated response to infection, demands urgent intervention to prevent severe complications. Existing machine learning methods for managing sepsis struggle in offline…

Machine Learning · Computer Science 2024-03-13 Dipesh Tamboli , Jiayu Chen , Kiran Pranesh Jotheeswaran , Denny Yu , Vaneet Aggarwal

An SEIRS epidemic with disease fatalities is introduced in a growing population (modelled as a super-critical linear birth and death process). The study of the initial phase of the epidemic is stochastic, while the analysis of the major…

Populations and Evolution · Quantitative Biology 2017-03-29 Tom Britton , Désiré Ouédraogo

Objective: Sepsis is one of the most serious hospital conditions associated with high mortality. Sepsis is the result of a dysregulated immune response to infection that can lead to multiple organ dysfunction and death. Due to the wide…

Background Sepsis is one of the most life-threatening circumstances for critically ill patients in the US, while a standardized criteria for sepsis identification is still under development. Disparities in social determinants of sepsis…

Machine Learning · Computer Science 2021-12-16 Hanyin Wang , Yikuan Li , Andrew Naidech , Yuan Luo

Severe sepsis and septic shock are conditions that affect millions of patients and have close to 50% mortality rate. Early identification of at-risk patients significantly improves outcomes. Electronic surveillance tools have been developed…

Computers and Society · Computer Science 2018-09-12 Emilia Apostolova , Tom Velez

We design and implement a temporal convolutional network model to predict sepsis onset. Our model is trained on data extracted from MIMIC III database, based on a retrospective analysis of patients admitted to intensive care unit who did…

Machine Learning · Computer Science 2022-06-01 Xing Wang , Yuntian He

Epilepsy is a prevalent neurological disorder globally, impacting around 50 million people \cite{WHO_epilepsy_50million}. Epileptic seizures result from sudden abnormal electrical activity in the brain, which can be read as sudden and…

Machine Learning · Computer Science 2025-08-15 Mohammed Guhdar , Ramadhan J. Mstafa , Abdulhakeem O. Mohammed

Sepsis is a leading cause of mortality in intensive care units (ICUs), yet existing research often relies on outdated datasets, non-reproducible preprocessing pipelines, and limited coverage of clinical interventions. We introduce…

Machine Learning · Computer Science 2025-10-29 Yong Huang , Zhongqi Yang , Amir Rahmani

Sepsis is one of the leading causes of death in Intensive Care Units (ICU). The strategy for treating sepsis involves the infusion of intravenous (IV) fluids and administration of antibiotics. Determining the optimal quantity of IV fluids…

Artificial Intelligence · Computer Science 2020-09-18 Akash Gupta , Michael T. Lash , Senthil K. Nachimuthu

Infectious diseases cause more than 13 million deaths a year, worldwide. Globalization, urbanization, climate change, and ecological pressures have significantly increased the risk of a global pandemic. The ongoing COVID-19 pandemic-the…

Computers and Society · Computer Science 2021-04-23 Elizabeth Bradley , Madhav Marathe , Melanie Moses , William D Gropp , Daniel Lopresti

Sepsis is the leading cause of death in non-coronary intensive care units. Moreover, a delay of antibiotic treatment of patients with severe sepsis by only few hours is associated with increased mortality. This insight makes accurate models…

Quantitative Methods · Quantitative Biology 2019-09-26 Shigehiko Schamoni , Holger A. Lindner , Verena Schneider-Lindner , Manfred Thiel , Stefan Riezler

Sepsis is a major public health concern due to its high morbidity, mortality, and cost. Its clinical outcome can be substantially improved through early detection and timely intervention. By leveraging publicly available datasets, machine…

Machine Learning · Computer Science 2026-02-04 Yin Jin , Tucker R. Stewart , Deyi Zhou , Chhavi Gupta , Arjita Nema , Scott C. Brakenridge , Grant E. O'Keefe , Juhua Hu

Epilepsy is one of the most occurring neurological disease globally emerged back in 4000 BC. It is affecting around 50 million people of all ages these days. The trait of this disease is recurrent seizures. In the past few decades, the…

Machine Learning · Computer Science 2021-11-08 Virender Ranga , Shivam Gupta , Jyoti Meena , Priyansh Agrawal

Sepsis is a life-threatening condition affecting one million people per year in the US in which dysregulation of the body's own immune system causes damage to its tissues, resulting in a 28 - 50% mortality rate. Clinical trials for sepsis…

Machine Learning · Computer Science 2018-03-01 Brenden K. Petersen , Jiachen Yang , Will S. Grathwohl , Chase Cockrell , Claudio Santiago , Gary An , Daniel M. Faissol

Current machine learning models aiming to predict sepsis from Electronic Health Records (EHR) do not account for the heterogeneity of the condition, despite its emerging importance in prognosis and treatment. This work demonstrates the…

Quantitative Methods · Quantitative Biology 2020-11-24 Zina Ibrahim , Honghan Wu , Ahmed Hamoud , Lukas Stappen , Richard Dobson , Andrea Agarossi

Today's AI systems for medical decision support often succeed on benchmark datasets in research papers but fail in real-world deployment. This work focuses on the decision making of sepsis, an acute life-threatening systematic infection…

Human-Computer Interaction · Computer Science 2024-02-27 Shao Zhang , Jianing Yu , Xuhai Xu , Changchang Yin , Yuxuan Lu , Bingsheng Yao , Melanie Tory , Lace M. Padilla , Jeffrey Caterino , Ping Zhang , Dakuo Wang

Tuberculosis (TB) is a contagious bacterial airborne disease, and is one of the top 10 causes of death worldwide. According to the World Health Organization (WHO), around 1.8 billion people are infected with TB and 1.6 million deaths were…

Image and Video Processing · Electrical Eng. & Systems 2020-12-29 Chirath Dasanayakaa , Maheshi Buddhinee Dissanayake

Sepsis is a deadly condition affecting many patients in the hospital. Recent studies have shown that patients diagnosed with sepsis have significant mortality and morbidity, resulting from the body's dysfunctional host response to…

Machine Learning · Computer Science 2022-12-14 Ronald Moore , Rishikesan Kamaleswaran

Sepsis is an important cause of mortality, especially in intensive care unit (ICU) patients. Developing novel methods to identify early mortality is critical for improving survival outcomes in sepsis patients. Using the MIMIC-III database,…

Computers and Society · Computer Science 2021-12-03 Jiyoung Shin , Yikuan Li , Yuan Luo