A REST API based on machine learning to predict survival using categorical features

被引：0

作者：

Diez-Sanmartin, Covadonga ^{[1
]}

Sarasa-Cabezuelo, Antonio ^{[1
]}

机构：

[1] Univ Complutense Madrid, Sch Comp Sci, Dept Comp Syst & Comp, Madrid, Spain

来源：

2023 27TH INTERNATIONAL CONFERENCE INFORMATION VISUALISATION, IV | 2023年

关键词：

Artificial Intelligence; Machine learning; Survival Analysis; REST API; Microservices; ALGORITHMS;

D O I：

10.1109/IV60283.2023.00078

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Survival analysis is an area of statistics that deals with the study of the time it takes for an event of interest to occur, usually applying mainstream statistical techniques. The appearance of the Big Data phenomenon and the digitization of medical information lead to the generation of huge amounts of information that require optimal processing. For this, it is necessary to apply new algorithms, such as machine learning techniques. This article introduces a REST API based on machine learning to predict survival using categorical features.

引用

页码：378 / 383

页数：6

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