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Background: Hypertensive kidney disease (HKD) patients in intensive care units (ICUs) face high short-term mortality, but tailored risk prediction tools are lacking. Early identification of high-risk individuals is crucial for clinical…

Machine Learning · Computer Science 2025-07-28 Yong Si , Junyi Fan , Li Sun , Shuheng Chen , Minoo Ahmadi , Elham Pishgar , Kamiar Alaei , Greg Placencia , Maryam Pishgar

The current best practice approach for the retrospective diagnosis of adverse drug events (ADEs) in hospitalized patients relies on a full patient chart review and a formal causality assessment by multiple medical experts. This evaluation…

Acute kidney injury (AKI) in critically ill patients is associated with significant morbidity and mortality. Development of novel methods to identify patients with AKI earlier will allow for testing of novel strategies to prevent or reduce…

Machine Learning · Computer Science 2018-11-12 Yikuan Li , Liang Yao , Chengsheng Mao , Anand Srivastava , Xiaoqian Jiang , Yuan Luo

Background: Cirrhosis is a progressive liver disease with high mortality and frequent complications, notably acute kidney injury (AKI), which occurs in up to 50% of hospitalized patients and worsens outcomes. AKI stems from complex…

Machine Learning · Computer Science 2025-08-15 Li Sun , Shuheng Chen , Junyi Fan , Yong Si , Minoo Ahmadi , Elham Pishgar , Kamiar Alaei , Maryam Pishgar

Hyperkalemia is a potentially life-threatening condition that can lead to fatal arrhythmias. Early identification of high risk patients can inform clinical care to mitigate the risk. While hyperkalemia is often a complication of acute…

Machine Learning · Computer Science 2021-01-28 Gloria Hyunjung Kwak , Christina Chen , Lowell Ling , Erina Ghosh , Leo Anthony Celi , Pan Hui

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

Sepsis is a severe condition that causes the body to respond incorrectly to an infection. This reaction can subsequently cause organ failure, a major one being acute kidney injury (AKI). For septic patients, approximately 50% develop AKI,…

Machine Learning · Computer Science 2024-12-06 Aleyeh Roknaldin , Zehao Zhang , Jiayuan Xu , Kamiar Alaei , Maryam Pishgar

Hypotension in critically ill ICU patients is common and life-threatening. Escalation to catecholamine therapy marks a key management step, with both undertreatment and overtreatment posing risks. Most machine learning (ML) models predict…

Signal Processing · Electrical Eng. & Systems 2025-10-29 Richard Koebe , Noah Saibel , Juan Miguel Lopez Alcaraz , Simon Schäfer , Nils Strodthoff

Chronic Kidney Disease (CKD) is a major global health issue which is affecting million people around the world and with increasing rate of mortality. Mitigation of progression of CKD and better patient outcomes requires early detection.…

Artificial Intelligence · Computer Science 2025-04-08 Md. Ehsanul Haque , S. M. Jahidul Islam , Jeba Maliha , Md. Shakhauat Hossan Sumon , Rumana Sharmin , Sakib Rokoni

Background: Sepsis-Associated Acute Kidney Injury (SA-AKI) leads to high mortality in intensive care. This study develops machine learning models using the Medical Information Mart for Intensive Care IV (MIMIC-IV) database to predict…

Machine Learning · Computer Science 2025-05-20 Shuheng Chen , Junyi Fan , Elham Pishgar , Kamiar Alaei , Greg Placencia , Maryam Pishgar

This study investigates the relationship between longitudinal serum creatinine measurements and the risk of adverse kidney outcomes in paediatric patients with auto-immune disorders at Great Ormond Street Hospital for Children NHS…

Background: Acute kidney injury (AKI), the decline of kidney excretory function, occurs in up to 18% of hospitalized admissions. Progression of AKI may lead to irreversible kidney damage. Methods: This retrospective cohort study includes…

The incidence of Acute Kidney Injury (AKI) commonly happens in the Intensive Care Unit (ICU) patients, especially in the adults, which is an independent risk factor affecting short-term and long-term mortality. Though researchers in recent…

Machine Learning · Computer Science 2020-05-28 Yu Wang , JunPeng Bao , JianQiang Du , YongFeng Li

Progression to dialysis or end-stage renal disease is a rare but clinically important outcome. Clinicians need evidence on how medication exposures influence downstream risk. We constructed a fixed-window EHR cohort (90-day observation,…

Machine Learning · Computer Science 2026-04-28 Kalyani P. Pande , Evan Yang , Bryan Zhu , Sandeep K. Mallipattu , Alisa Yurovsky , Tengfei Ma

Bacterial infections are responsible for high mortality worldwide. Antimicrobial resistance underlying the infection, and multifaceted patient's clinical status can hamper the correct choice of antibiotic treatment. Randomized clinical…

Machine Learning · Statistics 2022-07-18 Inyoung Jun , Simone Marini , Christina A. Boucher , J. Glenn Morris , Jiang Bian , Mattia Prosperi

Acute kidney injury (AKI) is a common and serious complication after a surgery which is associated with morbidity and mortality. The majority of existing perioperative AKI risk score prediction models are limited in their generalizability…

Computers and Society · Computer Science 2019-06-19 Lasith Adhikari , Tezcan Ozrazgat-Baslanti , Paul Thottakkara , Ashkan Ebadi , Amir Motaei , Parisa Rashidi , Xiaolin Li , Azra Bihorac

As the global population ages, the incidence of Chronic Kidney Disease (CKD) is rising. CKD often remains asymptomatic until advanced stages, which significantly burdens both the healthcare system and patient quality of life. This research…

Artificial Intelligence · Computer Science 2024-04-18 Nantika Nguycharoen

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,…

Computers and Society · Computer Science 2021-12-03 Jiyoung Shin , Yikuan Li , Yuan Luo

Postoperative stroke remains a critical complication in elderly surgical intensive care unit (SICU) patients, contributing to prolonged hospitalization, elevated healthcare costs, and increased mortality. Accurate early risk stratification…

Quantitative Methods · Quantitative Biology 2025-06-05 Tinghuan Li , Shuheng Chen , Junyi Fan , Elham Pishgar , Kamiar Alaei , Greg Placencia , Maryam Pishgar
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