N. Panda, K. L. Mahanta, Jitendra kumar Pati, Tapasi Pati
{"title":"利用机器学习和多元统计方法开发和验证新生儿重症监护室(NICU)入院预测模型","authors":"N. Panda, K. L. Mahanta, Jitendra kumar Pati, Tapasi Pati","doi":"10.1007/s13224-024-02009-0","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":508531,"journal":{"name":"The Journal of Obstetrics and Gynecology of India","volume":" 3","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development and Validation of Prediction Model for Neonatal Intensive Care Unit (NICU) Admission Using Machine Learning and Multivariate Statistical Approach\",\"authors\":\"N. Panda, K. L. Mahanta, Jitendra kumar Pati, Tapasi Pati\",\"doi\":\"10.1007/s13224-024-02009-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":508531,\"journal\":{\"name\":\"The Journal of Obstetrics and Gynecology of India\",\"volume\":\" 3\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Journal of Obstetrics and Gynecology of India\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s13224-024-02009-0\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of Obstetrics and Gynecology of India","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s13224-024-02009-0","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development and Validation of Prediction Model for Neonatal Intensive Care Unit (NICU) Admission Using Machine Learning and Multivariate Statistical Approach