Mammal
发表于 2025-3-26 23:16:58
http://reply.papertrans.cn/47/4696/469590/469590_31.png
凝视
发表于 2025-3-27 03:20:26
Modelling Survival by Machine Learning Methods in Liver Transplantation: Application to the UNOS Datetrics are used, being the concordance index (.) the most suitable for this problem. The results achieved show that, for each measure, a different technique obtains the highest value, performing almost the same, but, if we focus on ., Gradient Boosting outperforms the rest of the methods.
reptile
发表于 2025-3-27 07:21:03
http://reply.papertrans.cn/47/4696/469590/469590_33.png
闪光你我
发表于 2025-3-27 13:04:31
Comparative Analysis for Computer-Based Decision Support: Case Study of Knee Osteoarthritisthe risk score index provided by logistic regression is expressed in a form that most naturally integrates with clinical reasoning. The reason for this is that it gives a statistical assessment of the weight of evidence for making the diagnosis, so providing a direction for future research to improv
Incompetent
发表于 2025-3-27 13:40:43
A Clustering-Based Patient Grouper for Burn Careay support the identification of features and segments that more accurately account for patient complexity and resource use. In this paper, we describe the development of such a grouper using established techniques for dimensionality reduction and cluster analysis. We argue that a data-driven approa
initiate
发表于 2025-3-27 20:13:25
http://reply.papertrans.cn/47/4696/469590/469590_36.png
Harridan
发表于 2025-3-27 23:27:28
http://reply.papertrans.cn/47/4696/469590/469590_37.png
Sputum
发表于 2025-3-28 05:24:44
http://reply.papertrans.cn/47/4696/469590/469590_38.png
可转变
发表于 2025-3-28 06:35:35
Intelligent Data Engineering and Automated Learning – IDEAL 2019978-3-030-33617-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
Memorial
发表于 2025-3-28 12:13:46
http://reply.papertrans.cn/47/4696/469590/469590_40.png