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Related papers: SepsisLab: Early Sepsis Prediction with Uncertaint…

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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 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 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 life threatening medical condition that occurs when the body has an extreme response to infection, leading to widespread inflammation, organ failure, and potentially death. Because sepsis can worsen rapidly, early detection is…

Machine Learning · Computer Science 2025-05-07 Oyindolapo O. Komolafe , Zhimin Mei , David Morales Zarate , Gregory William Spangenberg

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 host response to infection associated with high mortality, morbidity, and health costs. Its management is highly time-sensitive since each hour of delayed treatment increases mortality due to irreversible organ…

Machine Learning · Computer Science 2020-10-16 Michael Moor , Max Horn , Bastian Rieck , Damian Roqueiro , Karsten Borgwardt

Sepsis is a condition caused by the body's overwhelming and life-threatening response to infection, which can lead to tissue damage, organ failure, and finally death. Common signs and symptoms include fever, increased heart rate, increased…

Machine Learning · Computer Science 2017-09-07 Eitam Sheetrit , Nir Nissim , Denis Klimov , Lior Fuchs , Yuval Elovici , Yuval Shahar

Sepsis is a major cause of mortality in the intensive care units (ICUs). Early intervention of sepsis can improve clinical outcomes for sepsis patients. Machine learning models have been developed for clinical recognition of sepsis. A…

Applications · Statistics 2021-05-21 Jifan Gao , Philip L. Mar , Guanhua Chen

The timeliness of detection of a sepsis event in progress is a crucial factor in the outcome for the patient. Machine learning models built from data in electronic health records can be used as an effective tool for improving this…

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

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

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 is a life-threatening disease with high morbidity, mortality and healthcare costs. The early prediction and administration of antibiotics and intravenous fluids is considered crucial for the treatment of sepsis and can save…

Computation and Language · Computer Science 2021-07-26 Fred Qin , Vivek Madan , Ujjwal Ratan , Zohar Karnin , Vishaal Kapoor , Parminder Bhatia , Taha Kass-Hout

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

Despite decades of clinical research, sepsis remains a global public health crisis with high mortality, and morbidity. Currently, when sepsis is detected and the underlying pathogen is identified, organ damage may have already progressed to…

The proliferation of early diagnostic technologies, including self-monitoring systems and wearables, coupled with the application of these technologies on large segments of healthy populations may significantly aggravate the problem of…

Machine Learning · Computer Science 2021-07-23 Anna Fedyukova , Douglas Pires , Daniel Capurro

With a mortality rate of 5.4 million lives worldwide every year and a healthcare cost of more than 16 billion dollars in the USA alone, sepsis is one of the leading causes of hospital mortality and an increasing concern in the ageing…

Machine Learning · Computer Science 2021-05-12 Margherita Rosnati , Vincent Fortuin

Sepsis is an organ dysfunction caused by a deregulated immune response to an infection. Early sepsis prediction and identification allow for timely intervention, leading to improved clinical outcomes. Clinical calculators (e.g., the…

Machine Learning · Computer Science 2025-01-13 Changchang Yin , Shihan Fu , Bingsheng Yao , Thai-Hoang Pham , Weidan Cao , Dakuo Wang , Jeffrey Caterino , Ping Zhang

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
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