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We present a scalable end-to-end classifier that uses streaming physiological and medication data to accurately predict the onset of sepsis, a life-threatening complication from infections that has high mortality and morbidity. Our proposed…

Machine Learning · Statistics 2017-06-14 Joseph Futoma , Sanjay Hariharan , Katherine Heller

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, 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

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 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 life-threatening condition triggered by an extreme infection response. Our objective is to forecast sepsis patient outcomes using their medical history and treatments, while learning interpretable state representations to assess…

Machine Learning · Computer Science 2023-11-17 Anna Wong , Shu Ge , Nassim Oufattole , Adam Dejl , Megan Su , Ardavan Saeedi , Li-wei H. Lehman

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 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 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 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 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 a severe medical condition caused by a dysregulated host response to infection that has a high incidence and mortality rate. Even with such a high-level occurrence rate, the detection and diagnosis of sepsis continues to pose a…

Applications · Statistics 2022-10-27 Jeffrey R. Smith , Yao Xie , Christopher S. Josef , Rishikesan Kamaleswaran

Sepsis is a life-threatening medical emergency, which is a major cause of death worldwide and the second highest cause of mortality in the United States. Researching the optimal control treatment or intervention strategy on the…

Dynamical Systems · Mathematics 2022-01-11 Yuyang Chen , Kaiming Bi , Chih-Hang J. Wu , David Ben-Arieh , Ashesh Sinha

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 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

Modern health care systems are conducting continuous, automated surveillance of the electronic medical record (EMR) to identify adverse events with increasing frequency; however, many events such as sepsis do not have elucidated prodromes…

Applications · Statistics 2023-05-24 Song Wei , Yao Xie , Christopher S. Josef , Rishikesan Kamaleswaran

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, 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

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, 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
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