L. Vaira, Mario Alessandro Bochicchio, Matteo Conte, Francesco Margiotta Casaluci, A. Melpignano
{"title":"MamaBot:一个基于ML和NLP的系统，用于支持怀孕期间的妇女和家庭","authors":"L. Vaira, Mario Alessandro Bochicchio, Matteo Conte, Francesco Margiotta Casaluci, A. Melpignano","doi":"10.1145/3216122.3216173","DOIUrl":null,"url":null,"abstract":"Artificial intelligence is transforming healthcare with a profound paradigm shift impacting diagnostic techniques, drug discovery, health analytics, interventions and much more. In this paper we focus on exploiting AI-based chatbot systems, mainly based on machine learning algorithms and Natural Language Processing, to understand and respond to needs of patients and their families. In particular, we describe an application scenario for an AI-chatbot delivering support to pregnant women, mothers, and families with young children, by giving them help and instructions in relevant situations.","PeriodicalId":422509,"journal":{"name":"Proceedings of the 22nd International Database Engineering & Applications Symposium","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"37","resultStr":"{\"title\":\"MamaBot: a System based on ML and NLP for supporting Women and Families during Pregnancy\",\"authors\":\"L. Vaira, Mario Alessandro Bochicchio, Matteo Conte, Francesco Margiotta Casaluci, A. Melpignano\",\"doi\":\"10.1145/3216122.3216173\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Artificial intelligence is transforming healthcare with a profound paradigm shift impacting diagnostic techniques, drug discovery, health analytics, interventions and much more. In this paper we focus on exploiting AI-based chatbot systems, mainly based on machine learning algorithms and Natural Language Processing, to understand and respond to needs of patients and their families. In particular, we describe an application scenario for an AI-chatbot delivering support to pregnant women, mothers, and families with young children, by giving them help and instructions in relevant situations.\",\"PeriodicalId\":422509,\"journal\":{\"name\":\"Proceedings of the 22nd International Database Engineering & Applications Symposium\",\"volume\":\"58 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"37\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 22nd International Database Engineering & Applications Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3216122.3216173\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 22nd International Database Engineering & Applications Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3216122.3216173","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
MamaBot: a System based on ML and NLP for supporting Women and Families during Pregnancy
Artificial intelligence is transforming healthcare with a profound paradigm shift impacting diagnostic techniques, drug discovery, health analytics, interventions and much more. In this paper we focus on exploiting AI-based chatbot systems, mainly based on machine learning algorithms and Natural Language Processing, to understand and respond to needs of patients and their families. In particular, we describe an application scenario for an AI-chatbot delivering support to pregnant women, mothers, and families with young children, by giving them help and instructions in relevant situations.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
