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Detection of occult hemorrhage (i.e., internal bleeding) in patients in intensive care units (ICUs) can pose significant challenges for critical care workers. Because blood loss may not always be clinically apparent, clinicians rely on…

Readmission prediction is a critical but challenging clinical task, as the inherent relationship between high-dimensional covariates and readmission is complex and heterogeneous. Despite this complexity, models should be interpretable to…

Methodology · Statistics 2025-07-10 Wei Wang , Angela Bailey , Christopher Tignanelli , Jared D. Huling

The ability to perform accurate prognosis of patients is crucial for proactive clinical decision making, informed resource management and personalised care. Existing outcome prediction models suffer from a low recall of infrequent positive…

The Affordable care Act of 2010 had introduced Readmission reduction program in 2012 to reduce avoidable re-admissions to control rising healthcare costs. Wound care impacts 15 of medicare beneficiaries making it one of the major…

Machine Learning · Computer Science 2020-10-07 Subba Reddy Oota , Nafisur Rahman , Shahid Saleem Mohammed , Jeffrey Galitz , Ming Liu

One of the most significant barriers to medication treatment is patients' non-adherence to a prescribed medication regimen. The extent of the impact of poor adherence on resulting health measures is often unknown, and typical analyses…

Applications · Statistics 2018-12-04 Luis F. Campos , Mark E. Glickman , Kristen B. Hunter

Hospital readmissions are expensive and reflect the inadequacies in healthcare system. In the United States alone, treatment of readmitted diabetic patients exceeds 250 million dollars per year. Early identification of patients facing a…

Artificial Intelligence · Computer Science 2016-02-16 Malladihalli S Bhuvan , Ankit Kumar , Adil Zafar , Vinith Kishore

Patients with type 2 diabetes need to closely monitor blood sugar levels as their routine diabetes self-management. Although many treatment agents aim to tightly control blood sugar, hypoglycemia often stands as an adverse event. In…

Methodology · Statistics 2024-03-15 Yingfa Xie , Haoda Fu , Yuan Huang , Vladimir Pozdnyakov , Jun Yan

Hydroxyurea (HU) has been shown to be effective in alleviating the symptoms of Sickle Cell Anemia disease. While Hydroxyurea reduces the complications associated with Sickle Cell Anemia in some patients, others do not benefit from this drug…

Quantitative Methods · Quantitative Biology 2019-12-03 Brendan E. Odigwe , Jesuloluwa S. Eyitayo , Celestine I. Odigwe , Homayoun Valafar

Anemia, a condition marked by insufficient levels of red blood cells or hemoglobin, remains a widespread health issue affecting millions of individuals globally. Accurate and timely diagnosis is essential for effective management and…

Readmissions among Medicare beneficiaries are a major problem for the US healthcare system from a perspective of both healthcare operations and patient caregiving outcomes. Our study analyzes Medicare hospital readmissions using LSTM…

Machine Learning · Computer Science 2024-10-24 Xintao Li , Sibei Liu , Dezhi Yu , Yang Zhang , Xiaoyu Liu

Unplanned intensive care unit (ICU) readmission rate is an important metric for evaluating the quality of hospital care. Efficient and accurate prediction of ICU readmission risk can not only help prevent patients from inappropriate…

Computation and Language · Computer Science 2022-01-10 Qiuhao Lu , Thien Huu Nguyen , Dejing Dou

We propose a flexible joint longitudinal-survival framework to examine the association between longitudinally collected biomarkers and a time-to-event endpoint. More specifically, we use our method for analyzing the survival outcome of…

Applications · Statistics 2018-07-09 Sepehr Akhavan Masouleh , Tracy Holsclaw , Babak Shahbaba , Daniel L. Gillen

With the improvement of medical data capturing, vast amount of continuous patient monitoring data, e.g., electrocardiogram (ECG), real-time vital signs and medications, become available for clinical decision support at intensive care units…

Machine Learning · Computer Science 2018-07-25 Yanbo Xu , Siddharth Biswal , Shriprasad R Deshpande , Kevin O Maher , Jimeng Sun

Hospital readmission among patients with chronic heart failure (HF) is a major clinical and economic burden. Dynamic prediction models that leverage longitudinal biomarkers may improve risk stratification over traditional static models.…

Applications · Statistics 2026-01-22 Rebecca Farina , Francois Mercier , Christian Wohlfart , Serge Masson , Silvia Metelli

We used survival analysis to quantify the impact of postdischarge evaluation and management (E/M) services in preventing hospital readmission or death. Our approach avoids a specific pitfall of applying machine learning to this problem,…

Joint modeling of longitudinal and survival data has become increasingly important in medical research, particularly for understanding disease progression in chronic conditions where both repeated biomarker measurements and time-to-event…

Methodology · Statistics 2025-12-30 Nithisha Suryadevara , Vivek Reddy Srigiri

Background: This study investigates glucose conditions preceding and following various hypoglycemia levels in individuals with type 1 diabetes using open-source automated insulin delivery (AID) systems. It also seeks to evaluate…

Quantitative Methods · Quantitative Biology 2024-05-16 Arsalan Shahid , Dana M. Lewis

Acute pancreatitis (AP) is a common and potentially life-threatening gastrointestinal disease that imposes a significant burden on healthcare systems. ICU readmissions among AP patients are common, especially in severe cases, with rates…

Applications · Statistics 2025-05-22 Shuheng Chen , Yong Si , Junyi Fan , Li Sun , Elham Pishgar , Kamiar Alaei , Greg Placencia , Maryam Pishgar

Hypertension and atrial fibrillation (AF) often coexist in critically ill patients, significantly increasing mortality rates in the ICU. Early identification of high-risk individuals is crucial for targeted interventions. However, limited…

Applications · Statistics 2025-06-19 Shuheng Chen , Yong Si , Junyi Fan , Li Sun , Greg Placencia , Elham Pishgar , Kamiar Alaei , Maryam Pishgar

Increasing evidence suggests that variability in longitudinal biomarkers, in addition to their mean trajectory, carries prognostic information for time-to-event outcomes. However, standard joint models typically capture only the expected…

Methodology · Statistics 2026-05-08 Felix Boakye Oppong , Dimitris Rizopoulos , Thierry Gorlia , Nicole Erler