The use of artificial intelligence and machine learning (ML) has revolutionized our daily lives
and will soon be instrumental in healthcare delivery. The rise of ML is due to multiple factors …

Background The variations in outcome and frequent occurrence of kidney allograft failure
continue to pose important clinical and research challenges despite recent advances in …

Accurate prediction of graft survival after kidney transplant is limited by the complexity and
heterogeneity of risk factors influencing allograft survival. In this study, we applied machine …

There is a growing trend of applying machine learning methods to medical datasets in order
to predict patients' future status. Although some of these methods achieve high performance …

Exploratory data analysis (EDA) is often a necessary task in uncovering hidden patterns,
detecting outliers, and identifying important variables and any anomalies in data …

Introduction: The prediction of post transplantation outcomes is clinically important and
involves several problems. The current prediction models based on standard statistics are …

应用分类树模型分析环境因素暴露对儿童急性淋巴细胞白血病的影响 作者投稿/查稿 Open
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Solid-organ transplantation is a life-saving procedure. In addition to the enormous
advancements of the past few decades, new difficulties have surfaced. This systematic …

Demand and supply for liver donation and transplantation are not balanced. There is a
significant shortage in the number of available organs. While it is important to get the best …

The use of artificial intelligence and machine learning (ML) has revolutionised our daily lives
and will soon be instrumental in healthcare delivery. The rise of ML is due to multiple factors …