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Related papers: An Improved Mathematical Model of Sepsis: Modeling…

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Bayesian Optimization algorithm has become a promising approach for nonlinear global optimization problems and many machine learning applications. Over the past few years, improvements and enhancements have been brought forward and they…

Machine Learning · Computer Science 2022-01-04 Yuyang Chen , Kaiming Bi , Chih-Hang J. Wu , David Ben-Arieh , Ashesh Sinha

Sepsis is a leading cause of death in the ICU. It is a disease requiring complex interventions in a short period of time, but its optimal treatment strategy remains uncertain. Evidence suggests that the practices of currently used treatment…

Machine Learning · Computer Science 2022-07-15 Zeyu Wang , Huiying Zhao , Peng Ren , Yuxi Zhou , Ming Sheng

Sepsis is a leading cause of mortality in intensive care units (ICUs) and costs hospitals billions annually. Treating a septic patient is highly challenging, because individual patients respond very differently to medical interventions and…

Machine Learning · Computer Science 2017-05-24 Aniruddh Raghu , Matthieu Komorowski , Leo Anthony Celi , Peter Szolovits , Marzyeh Ghassemi

Sepsis is a life-threatening and serious global health issue. This study combines knowledge with available hospital data to investigate the potential causes of Sepsis that can be affected by policy decisions. We investigate the underlying…

Machine Learning · Computer Science 2025-02-19 Bruno Petrungaro , Neville K. Kitson , Anthony C. Constantinou

Sepsis is a dangerous condition that is a leading cause of patient mortality. Treating sepsis is highly challenging, because individual patients respond very differently to medical interventions and there is no universally agreed-upon…

Machine Learning · Computer Science 2018-11-28 Aniruddh Raghu , Matthieu Komorowski , Sumeetpal Singh

Sepsis is a poorly understood and potentially life-threatening complication that can occur as a result of infection. Early detection and treatment improves patient outcomes, and as such it poses an important challenge in medicine. In this…

Sepsis, a dysregulated immune system response to infection, is among the leading causes of morbidity, mortality, and cost overruns in the Intensive Care Unit (ICU). Early prediction of sepsis can improve situational awareness amongst…

Machine Learning · Computer Science 2019-08-14 Supreeth P. Shashikumar , Christopher Josef , Ashish Sharma , Shamim Nemati

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

Sepsis is a potentially life threatening inflammatory response to infection or severe tissue damage. It has a highly variable clinical course, requiring constant monitoring of the patient's state to guide the management of intravenous…

Machine Learning · Computer Science 2022-02-21 Thesath Nanayakkara , Gilles Clermont , Christopher James Langmead , David Swigon

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

Sepsis is a life-threatening organ malfunction caused by the host's inability to fight infection, which can lead to death without proper and immediate treatment. Therefore, early diagnosis and medical treatment of sepsis in critically ill…

Machine Learning · Computer Science 2023-04-14 Kevin Ewig , Xiangwen Lin , Tucker Stewart , Katherine Stern , Grant O'Keefe , Ankur Teredesai , Juhua Hu

Sepsis, characterized by a dysregulated immune response to infection, results in significant mortality, morbidity, and healthcare costs. The timely prediction of sepsis progression is crucial for reducing adverse outcomes through early…

Machine Learning · Computer Science 2026-01-01 Alireza Rafiei , Farshid Hajati , Alireza Rezaee , Amirhossien Panahi , Shahadat Uddin

Sepsis is a life-threatening condition with organ dysfunction and is a leading cause of death and critical illness worldwide. Even a few hours of delay in the treatment of sepsis results in increased mortality. Early detection of sepsis…

Although timely sepsis diagnosis and prompt interventions in Intensive Care Unit (ICU) patients are associated with reduced mortality, early clinical recognition is frequently impeded by non-specific signs of infection and failure to detect…

Machine Learning · Computer Science 2018-06-28 Tony Wang , Tom Velez , Emilia Apostolova , Tim Tschampel , Thuy L. Ngo , Joy Hardison

Sepsis is a life-threatening condition that requires rapid detection and treatment to prevent progression to severe sepsis, septic shock, or multi-organ failure. Despite advances in medical technology, it remains a major challenge for…

Machine Learning · Computer Science 2025-11-11 Atharva Thakur , Shruti Dhumal

Sepsis is a life-threatening condition affecting over 48.9 million people globally and causing 11 million deaths annually. Despite medical advancements, predicting sepsis remains a challenge due to non-specific symptoms and complex…

Machine Learning · Computer Science 2025-05-30 Dharambir Mahto , Prashant Yadav , Mahesh Banavar , Jim Keany , Alan T Joseph , Srinivas Kilambi

Sepsis is a life-threatening condition caused by the body's response to an infection. In order to treat patients with sepsis, physicians must control varying dosages of various antibiotics, fluids, and vasopressors based on a large number…

Machine Learning · Computer Science 2019-12-17 Amirhossein Kiani , Chris Wang , Angela Xu

Sepsis is a syndrome that develops in the body in response to the presence of an infection. Characterized by severe organ dysfunction, sepsis is one of the leading causes of mortality in Intensive Care Units (ICUs) worldwide. These…

Machine Learning · Computer Science 2023-11-20 Tucker Stewart , Katherine Stern , Grant O'Keefe , Ankur Teredesai , Juhua Hu

Sepsis is the leading cause of mortality in the ICU. It is challenging to manage because individual patients respond differently to treatment. Thus, tailoring treatment to the individual patient is essential for the best outcomes. In this…

Sepsis is a leading cause of mortality in intensive care units and costs hospitals billions annually. Treating a septic patient is highly challenging, because individual patients respond very differently to medical interventions and there…

Artificial Intelligence · Computer Science 2017-11-28 Aniruddh Raghu , Matthieu Komorowski , Imran Ahmed , Leo Celi , Peter Szolovits , Marzyeh Ghassemi
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