过去一年中添加的文章，按日期排序
[HTML][HTML] Inferring Acute Economic Aspects of Endovascular Deep Vein Thrombosis Management From A Literature-Based Comparative Cohort Analysis
A Misono, NJ Mouawad, AS Niekamp, MC Bunte - JVS-Vascular Insights, 2024 - Elsevier
2 天前 - … Total episode care costs were estimated as the sum of device and therapeutic
costs, acute care costs, and contingent costs (Figure 2). This study was informed by publicly …
costs, acute care costs, and contingent costs (Figure 2). This study was informed by publicly …
Artificial intelligence and machine learning in peritoneal dialysis: a systematic review of clinical outcomes and predictive modeling
MM Mushtaq, M Mushtaq, H Ali, MA Sarwar… - … Urology and Nephrology, 2024 - Springer
4 天前 - … machine learning (ML) in peritoneal dialysis (PD) presents transformative
opportunities for optimizing treatment outcomes and informing clinical decision-making. This study …
opportunities for optimizing treatment outcomes and informing clinical decision-making. This study …
Machine learning-based model to predict severe acute kidney injury after total aortic arch replacement for acute type A aortic dissection
X Liu, M Fang, K Wang, J Zhu, Z Chen, L He, S Liang… - Heliyon, 2024 - cell.com
5 天前 - … study aimed to develop a novel model to predict severe AKI after TAAR in ATAAD
patients using machine … This study developed a novel and reliable clinical prediction model …
patients using machine … This study developed a novel and reliable clinical prediction model …
[PDF][PDF] Characteristics and outcome of hospitalized patients with heart failure stratified for chronic kidney disease
S König, V Pellissier, S Hohenstein, J Leiner… - ESC Heart …, 2024 - researchgate.net
6 天前 - … This study represents the largest real-world data analysis characterizing HF in
patients with and without CKD in Germany. Among HF patients, more than half of the study cohort …
patients with and without CKD in Germany. Among HF patients, more than half of the study cohort …
Identification and description of latent profiles of patients undergoing maintenance hemodialysis based on hemodynamic indicators
F Baroz - 2024 - escholarship.mcgill.ca
7 天前 - … generalization to unseen cases and exhibited relative … study, we demonstrated
that Latent Profile Analysis can identify clinically meaningful subpopulations of hemodialysis …
that Latent Profile Analysis can identify clinically meaningful subpopulations of hemodialysis …
Machine learning-based diagnostic prediction of minimal change disease: model development study
R Noda, D Ichikawa, Y Shibagaki - 2024 - researchsquare.com
8 天前 - … patients develop acute kidney injury, and in severe cases, urgent hemodialysis
may be … requiring de nitive diagnosis via kidney biopsy. However, kidney biopsy has several …
may be … requiring de nitive diagnosis via kidney biopsy. However, kidney biopsy has several …
Interpretable Machine Learning for Chronic Kidney Disease Diagnosis: A Gaussian Processes Approach
TR Noviandy, GM Idroes, M Syukri… - … Journal of Case Reports, 2024 - heca-analitika.com
11 天前 - … This study aims to develop a novel framework using GP … This study seeks to pave
the way for more effective and … This study contributes to CKD diagnosis and ML in healthcare …
the way for more effective and … This study contributes to CKD diagnosis and ML in healthcare …
Allo-Hemodialysis, a Novel Dialytic Treatment Option for Patients with Kidney Failure: Outcomes of Mathematical Modelling, Prototyping, and Ex Vivo Testing
V Maheshwari, N Grobe, X Wang, A Patel, A Cherif… - Toxins, 2024 - mdpi.com
14 天前 - … preparation is a key determinant of dialysis machine complexity, logistics, and
environmental impact. This insight was crucial when conceiving allo-hemodialysis (alloHD), a …
environmental impact. This insight was crucial when conceiving allo-hemodialysis (alloHD), a …
Predicting Kidney Transplantation Outcomes Using Machine Learning Techniques
16 天前 - … research was to predict kidney transplant outcomes in patients using machine
learning. … predictive power for forecasting kidney transplant outcomes. In this study, the most …
learning. … predictive power for forecasting kidney transplant outcomes. In this study, the most …
Identifikasi Bakteri Escherichia Coli Pada Sampel Daging Bakso Sebagai Pangan Jajanan Anak Sekolah (PJAS)
A Setiara, JMAB Tarigan, M Anandari… - … Alam, Kebumian dan …, 2024 - journal.arimsi.or.id
16 天前 - … The method used is literature review by collecting, evaluating, and synthesizing
existing studies in the scientific literature. In this case using a search engine such as google …
existing studies in the scientific literature. In this case using a search engine such as google …