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Chronic kidney disease (CKD) is a significant public health challenge, often progressing to end-stage renal disease (ESRD) if not detected and managed early. Early intervention, warranted by silent disease progression, can significantly…

Machine Learning · Computer Science 2024-11-19 Zachary Dana , Ahmed Ammar Naseer , Botros Toro , Sumanth Swaminathan

Kidneys are the filter of the human body. About 10% of the global population is thought to be affected by Chronic Kidney Disease (CKD), which causes kidney function to decline. To protect in danger patients from additional kidney damage,…

Chronic kidney disease (CKD) represents a slowly progressive disorder that can eventually require renal replacement therapy (RRT) including dialysis or renal transplantation. Early identification of patients who will require RRT (as much as…

Machine Learning · Computer Science 2022-09-07 Daniel Lopez-Martinez , Christina Chen , Ming-Jun Chen

Background: Acute kidney injury (AKI) is a common complication in hospitalized patients and a common cause for chronic kidney disease (CKD) and increased hospital cost and mortality. By timely detection of AKI and AKI progression, effective…

Chronic kidney disease (CKD) is a gradual loss of renal function over time, and it increases the risk of mortality, decreased quality of life, as well as serious complications. The prevalence of CKD has been increasing in the last couple of…

Machine Learning · Computer Science 2020-11-18 Jinghe Zhang , Kamran Kowsari , Mehdi Boukhechba , James Harrison , Jennifer Lobo , Laura Barnes

Deep neural Network (DNN) is becoming a focal point in Machine Learning research. Its application is penetrating into different fields and solving intricate and complex problems. DNN is now been applied in health image processing to detect…

Image and Video Processing · Electrical Eng. & Systems 2020-12-23 Iliyas Ibrahim Iliyas , Isah Rambo Saidu , Ali Baba Dauda , Suleiman Tasiu

Chronic Kidney Disease (CKD) is one of the widespread Chronic diseases with no known ultimo cure and high morbidity. Research demonstrates that progressive Chronic Kidney Disease (CKD) is a heterogeneous disorder that significantly impacts…

Machine Learning · Computer Science 2025-01-28 K M Tawsik Jawad , Anusha Verma , Fathi Amsaad , Lamia Ashraf

Chronic Kidney Disease (CKD) represents a significant global health challenge, characterized by the progressive decline in renal function, leading to the accumulation of waste products and disruptions in fluid balance within the body. Given…

Chronic Kidney Disease (CKD) has infected almost 800 million people around the world. Around 1.7 million people die each year because of it. Detecting CKD in the initial stage is essential for saving millions of lives. Many researchers have…

Machine Learning · Computer Science 2022-03-04 Md. Taufiqul Haque Khan Tusar , Md. Touhidul Islam , Foyjul Islam Raju

Chronic Kidney Disease (CKD) constitutes a major global medical burden, marked by the gradual deterioration of renal function, which results in the impaired clearance of metabolic waste and disturbances in systemic fluid homeostasis. Owing…

Computer Vision and Pattern Recognition · Computer Science 2025-12-11 Anas Bin Ayub , Nilima Sultana Niha , Md. Zahurul Haque

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

Chronic Kidney Disease (CKD) affects nearly 10\% of the global population and often progresses to end-stage renal failure. Accurate prognosis prediction is vital for timely interventions and resource optimization. We present a…

Artificial Intelligence · Computer Science 2025-11-19 Yohan Lee , DongGyun Kang , SeHoon Park , Sa-Yoon Park , Kwangsoo Kim

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…

Randomized controlled trials (RCTs) are the standard for evaluating the effectiveness of clinical interventions. To address the limitations of RCTs on real-world populations, we developed a methodology that uses a large observational…

Machine Learning · Computer Science 2024-10-21 Panayiotis Petousis , David Gordon , Susanne B. Nicholas , Alex A. T. Bui

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

Acute kidney injury (AKI) commonly occurs in hospitalized patients and can lead to serious medical complications. In order to optimally predict AKI before it develops at any time during a hospital stay, we present a novel framework in which…

Quantitative Methods · Quantitative Biology 2019-02-28 Rohit J. Kate , Noah Pearce , Debesh Mazumdar , Vani Nilakantan

Patients with acute kidney injury (AKI) are at high risk of developing chronic kidney disease (CKD), but identifying those at greatest risk remains challenging. We used electronic health record (EHR) data to dynamically track AKI patients'…

Computation and Language · Computer Science 2026-04-13 Yilu Fang , Jordan G. Nestor , Casey N. Ta , Jerard Z. Kneifati-Hayek , Chunhua Weng

Acute Kidney Injury (AKI), a sudden decline in kidney function, is associated with increased mortality, morbidity, length of stay, and hospital cost. Since AKI is sometimes preventable, there is great interest in prediction. Most existing…

Machine Learning · Computer Science 2019-03-06 Samuel J. Weisenthal , Caroline Quill , Samir Farooq , Henry Kautz , Martin S. Zand

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

Areas where Artificial Intelligence (AI) & related fields are finding their applications are increasing day by day, moving from core areas of computer science they are finding their applications in various other domains.In recent times…

Machine Learning · Computer Science 2016-07-19 Sahil Sharma , Vinod Sharma , Atul Sharma
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