中文
相关论文

相关论文: Machine learning for dynamically predicting the on…

200 篇论文

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…

机器学习 · 计算机科学 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,…

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).…

机器学习 · 计算机科学 2024-10-28 Yubo Li , Saba Al-Sayouri , Rema Padman

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…

机器学习 · 计算机科学 2024-10-21 Panayiotis Petousis , David Gordon , Susanne B. Nicholas , Alex A. T. Bui

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…

计算机视觉与模式识别 · 计算机科学 2025-12-11 Anas Bin Ayub , Nilima Sultana Niha , Md. Zahurul Haque

Objective: To improve prediction of Chronic Kidney Disease (CKD) progression to End Stage Renal Disease (ESRD) using machine learning (ML) and deep learning (DL) models applied to an integrated clinical and claims dataset of varying…

定量方法 · 定量生物学 2025-05-06 Yubo Li , Rema Padman

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…

机器学习 · 计算机科学 2022-03-04 Md. Taufiqul Haque Khan Tusar , Md. Touhidul Islam , Foyjul Islam Raju

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…

人工智能 · 计算机科学 2024-04-18 Nantika Nguycharoen

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…

机器学习 · 计算机科学 2020-11-18 Jinghe Zhang , Kamran Kowsari , Mehdi Boukhechba , James Harrison , Jennifer Lobo , Laura Barnes

Background: Chronic kidney disease (CKD), a progressive disease with high morbidity and mortality, has become a significant global public health problem. Most existing models are static and fail to capture temporal trends in disease…

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…

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…

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…

其他定量生物学 · 定量生物学 2025-10-20 Syed Ibad Hasnain

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…

人工智能 · 计算机科学 2025-11-19 Yohan Lee , DongGyun Kang , SeHoon Park , Sa-Yoon Park , Kwangsoo Kim

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'…

计算与语言 · 计算机科学 2026-04-13 Yilu Fang , Jordan G. Nestor , Casey N. Ta , Jerard Z. Kneifati-Hayek , Chunhua Weng

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.…

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…

图像与视频处理 · 电气工程与系统科学 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…

机器学习 · 计算机科学 2025-01-28 K M Tawsik Jawad , Anusha Verma , Fathi Amsaad , Lamia Ashraf

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…

机器学习 · 计算机科学 2025-07-28 Yong Si , Junyi Fan , Li Sun , Shuheng Chen , Minoo Ahmadi , Elham Pishgar , Kamiar Alaei , Greg Placencia , Maryam Pishgar

A kidney transplant can improve the life expectancy and quality of life of patients with end-stage renal failure. Even more patients could be helped with a transplant if the rate of kidneys that are discarded and not transplanted could be…

‹ 上一页 1 2 3 10 下一页 ›