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相关论文: Identifying and Analyzing Sepsis States: A Retrosp…

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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,…

计算机与社会 · 计算机科学 2021-12-03 Jiyoung Shin , Yikuan Li , Yuan Luo

Sepsis is a leading cause of mortality in intensive care units (ICUs), yet existing research often relies on outdated datasets, non-reproducible preprocessing pipelines, and limited coverage of clinical interventions. We introduce…

机器学习 · 计算机科学 2025-10-29 Yong Huang , Zhongqi Yang , Amir Rahmani

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…

机器学习 · 计算机科学 2017-05-24 Aniruddh Raghu , Matthieu Komorowski , Leo Anthony Celi , Peter Szolovits , Marzyeh Ghassemi

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…

机器学习 · 计算机科学 2017-09-07 Eitam Sheetrit , Nir Nissim , Denis Klimov , Lior Fuchs , Yuval Elovici , Yuval Shahar

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…

机器学习 · 计算机科学 2021-12-16 Hanyin Wang , Yikuan Li , Andrew Naidech , Yuan Luo

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…

人工智能 · 计算机科学 2020-09-18 Akash Gupta , Michael T. Lash , Senthil K. Nachimuthu

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 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…

计算与语言 · 计算机科学 2021-07-26 Fred Qin , Vivek Madan , Ujjwal Ratan , Zohar Karnin , Vishaal Kapoor , Parminder Bhatia , Taha Kass-Hout

Current machine learning models aiming to predict sepsis from Electronic Health Records (EHR) do not account for the heterogeneity of the condition, despite its emerging importance in prognosis and treatment. This work demonstrates the…

定量方法 · 定量生物学 2020-11-24 Zina Ibrahim , Honghan Wu , Ahmed Hamoud , Lukas Stappen , Richard Dobson , Andrea Agarossi

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…

机器学习 · 计算机科学 2022-03-29 Yuqing Wang , Yun Zhao , Rachael Callcut , Linda Petzold

We study multiple rule-based and machine learning (ML) models for sepsis detection. We report the first neural network detection and prediction results on three categories of sepsis. We have used the retrospective Medical Information Mart…

机器学习 · 计算机科学 2019-03-07 Avijit Mitra , Khalid Ashraf

Sepsis affects millions of people worldwide each year. It occurs when a normal human immune response to a bacterial, viral or fungal infection becomes dysfunctional and triggers widespread inflammation that results in severe tissue damage…

组织与器官 · 定量生物学 2016-09-26 Todd Gary , Damian Mingle , Ashwini Yenamandra

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…

应用统计 · 统计学 2022-10-27 Jeffrey R. Smith , Yao Xie , Christopher S. Josef , Rishikesan Kamaleswaran

Sepsis is a severe condition responsible for many deaths in the United States and worldwide, making accurate prediction of outcomes crucial for timely and effective treatment. Previous studies employing machine learning faced limitations in…

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…

人工智能 · 计算机科学 2017-11-28 Aniruddh Raghu , Matthieu Komorowski , Imran Ahmed , Leo Celi , Peter Szolovits , Marzyeh Ghassemi

Sepsis is a life-threatening condition defined by end-organ dysfunction due to a dysregulated host response to infection. Although the Surviving Sepsis Campaign has launched and has been releasing sepsis treatment guidelines to unify and…

机器学习 · 计算机科学 2024-11-20 Hyewon Jeong , Siddharth Nayak , Taylor Killian , Sanjat Kanjilal

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…

机器学习 · 计算机科学 2021-05-12 Margherita Rosnati , Vincent Fortuin

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…

机器学习 · 计算机科学 2019-12-17 Amirhossein Kiani , Chris Wang , Angela Xu

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…

机器学习 · 计算机科学 2022-07-15 Zeyu Wang , Huiying Zhao , Peng Ren , Yuxi Zhou , Ming Sheng

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…

机器学习 · 计算机科学 2026-01-01 Alireza Rafiei , Farshid Hajati , Alireza Rezaee , Amirhossien Panahi , Shahadat Uddin
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