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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 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 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 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 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…

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 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

Early and accurate prediction of sepsis onset remains a major challenge in intensive care, where timely detection and subsequent intervention can significantly improve patient outcomes. While machine learning models have shown promise in…

Machine Learning · Computer Science 2025-09-26 Christoph Düsing , Philipp Cimiano

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

The early prediction of sepsis in intensive care unit (ICU) patients is crucial for improving survival rates. However, the development of accurate predictive models is hampered by data fragmentation across healthcare institutions and the…

Machine Learning · Computer Science 2026-03-18 Yue Chang , Guangsen Lin , Jyun Jie Chuang , Shunqi Liu , Xinkui Li , Yaozheng Li

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

A great deal of effort has been devoted to discovering a particular genetic disorder, but its classification across a broad spectrum of disorder classes and types remains elusive. Early diagnosis of genetic disorders enables timely…

Artificial Intelligence · Computer Science 2024-12-04 Abu Bakar Siddik , Faisal R. Badal , Afroza Islam

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

Proactive analysis of patient pathways helps healthcare providers anticipate treatment-related risks, identify outcomes, and allocate resources. Machine learning (ML) can leverage a patient's complete health history to make informed…

Machine Learning · Computer Science 2024-05-24 Sandra Zilker , Sven Weinzierl , Mathias Kraus , Patrick Zschech , Martin Matzner

Sepsis is a life-threatening disease and one of the major causes of death in hospitals. Imaging of microcirculatory dysfunction is a promising approach for automated diagnosis of sepsis. We report a machine learning classifier capable of…

Computer Vision and Pattern Recognition · Computer Science 2019-02-21 Perikumar Javia , Aman Rana , Nathan Shapiro , Pratik Shah

Objective: Sepsis is a life-threatening condition caused by severe infection leading to acute organ dysfunction. This study proposes a data-driven metric and a continuous reward function to optimize personalized heparin therapy in surgical…

Machine Learning · Computer Science 2025-12-15 Jiang Liu , Yujie Li , Chan Zhou , Yihao Xie , Qilong Sun , Xin Shu , Peiwei Li , Chunyong Yang , Yiziting Zhu , Jiaqi Zhu , Yuwen Chen , Bo An , Hao Wu , Bin Yi

We explore the use of traditional and contemporary hidden Markov models (HMMs) for sequential physiological data analysis and sepsis prediction in preterm infants. We investigate the use of classical Gaussian mixture model based HMM, and a…

Machine Learning · Computer Science 2019-10-31 Antoine Honore , Dong Liu , David Forsberg , Karen Coste , Eric Herlenius , Saikat Chatterjee , Mikael Skoglund

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

Neonatal seizures are a commonly encountered neurological condition. They are the first clinical signs of a serious neurological disorder. Thus, rapid recognition and treatment are necessary to prevent serious fatalities. The use of…

Signal Processing · Electrical Eng. & Systems 2021-12-01 Vishal Nagarajan , Ashwini Muralidharan , Deekshitha Sriraman , Pravin Kumar S

Sepsis is a life-threatening condition that seriously endangers millions of people over the world. Hopefully, with the widespread availability of electronic health records (EHR), predictive models that can effectively deal with clinical…

Machine Learning · Computer Science 2019-10-16 Luchen Liu , Haoxian Wu , Zichang Wang , Zequn Liu , Ming Zhang