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Related papers: Multi-Subset Approach to Early Sepsis Prediction

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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

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…

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

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…

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 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

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…

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 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 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, 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 critical condition from the body's response to infection, poses a major global health crisis affecting all age groups. Timely detection and intervention are crucial for reducing healthcare expenses and improving patient outcomes.…

Machine Learning · Computer Science 2024-07-12 MohammadAmin Ansari Khoushabar , Parviz Ghafariasl

Sepsis is a leading cause of death in the Intensive Care Units (ICU). Early detection of sepsis is critical for patient survival. In this paper, we propose a multimodal Transformer model for early sepsis prediction, using the physiological…

Machine Learning · Computer Science 2022-03-29 Yuqing Wang , Yun Zhao , Rachael Callcut , Linda Petzold

Sepsis is the leading cause of in-hospital mortality in the USA. Early sepsis onset prediction and diagnosis could significantly improve the survival of sepsis patients. Existing predictive models are usually trained on high-quality data…

Machine Learning · Computer Science 2024-07-25 Changchang Yin , Pin-Yu Chen , Bingsheng Yao , Dakuo Wang , Jeffrey Caterino , Ping Zhang

Sepsis is a lethal syndrome of organ dysfunction that is triggered by an infection and claims 11 million lives per year globally. Prognostic algorithms based on deep learning have shown promise in detecting the onset of sepsis hours before…

Tissues and Organs · Quantitative Biology 2024-08-19 Marco Giordano , Kanika Dheman , Michele Magno

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…

Sepsis is a life-threatening infectious syndrome associated with high mortality in intensive care units (ICUs). Early and accurate sepsis prediction (SP) is critical for timely intervention, yet remains challenging due to subtle early…

Machine Learning · Computer Science 2025-10-22 Zexi Tan , Tao Xie , Binbin Sun , Xiang Zhang , Yiqun Zhang , Yiu-Ming Cheung

Sepsis is a leading cause of mortality and critical illness worldwide. While robust biomarkers for early diagnosis are still missing, recent work indicates that hyperspectral imaging (HSI) has the potential to overcome this bottleneck by…

Sepsis is a life-threatening syndrome with high morbidity and mortality in hospitals. Early prediction of sepsis plays a crucial role in facilitating early interventions for septic patients. However, early sepsis prediction systems with…

Machine Learning · Computer Science 2025-03-20 Anni Zhou , Beyah Raheem , Rishikesan Kamaleswaran , Yao Xie
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