English
Related papers

Related papers: Enhancing End Stage Renal Disease Outcome Predicti…

200 papers

This study explores the potential of utilizing administrative claims data, combined with advanced machine learning and deep learning techniques, to predict the progression of Chronic Kidney Disease (CKD) to End-Stage Renal Disease (ESRD).…

Machine Learning · Computer Science 2024-10-28 Yubo Li , Saba Al-Sayouri , Rema Padman

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

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

Early detection of chronic kidney disease (CKD) is essential for preventing progression to end-stage renal disease. However, existing screening tools - primarily developed using populations from high-income countries - often underperform in…

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 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

Accurate and interpretable prediction of estimated glomerular filtration rate (eGFR) is essential for managing chronic kidney disease (CKD) and supporting clinical decisions. Recent advances in Large Multimodal Models (LMMs) have shown…

Machine Learning · Computer Science 2025-07-31 Peng-Yi Wu , Pei-Cing Huang , Ting-Yu Chen , Chantung Ku , Ming-Yen Lin , Yihuang Kang

Chronic kidney disease (CKD) is a global health challenge characterized by progressive kidney function decline, often culminating in end-stage kidney disease (ESKD) and increased mortality. To address the limitations such as the extended…

Methodology · Statistics 2025-04-11 Tuo Wang , Yu Du

Chronic Kidney Disease (CKD), where delayed recognition implies premature mortality, is currently experiencing a globally increasing incidence and high cost to health systems. Data mining allows discovering subtle patterns in CKD indicators…

Machine Learning · Computer Science 2023-06-21 Pedro A. Moreno-Sanchez

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

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…

Electronic medical records (EMR) contain longitudinal information about patients that can be used to analyze outcomes. Typically, studies on EMR data have worked with established variables that have already been acknowledged to be…

Machine Learning · Computer Science 2017-11-30 Prithwish Chakraborty , Vishrawas Gopalakrishnan , Sharon M. H. Alford , Faisal Farooq

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

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,…

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

Cardiovascular disease and chronic kidney disease are major complications of diabetes, leading to high morbidity and mortality. Early detection of these conditions is critical, yet traditional diagnostic markers often lack sensitivity in…

Other Quantitative Biology · Quantitative Biology 2025-10-20 Syed Ibad Hasnain

Identifying prognostic factors for disease progression is a cornerstone of medical research. Repeated assessments of a marker outcome are often used to evaluate disease progression, and the primary research question is to identify factors…

Computation · Statistics 2022-10-24 Brian Kwan , Lin Liu , David Strong , H. Irene Su , Loki Natarajan

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 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

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
‹ Prev 1 2 3 10 Next ›