Manuel Avalos, Pablo Salazar, Víctor M. Larios-Rosillo, H. Duran-Limon
{"title":"Smart health methodology and services powered by leading edge cognitive services consumed in the cloud","authors":"Manuel Avalos, Pablo Salazar, Víctor M. Larios-Rosillo, H. Duran-Limon","doi":"10.1109/ISC2.2016.7580862","DOIUrl":null,"url":null,"abstract":"Nowadays the use of leading edge technologies oriented towards healthcare is not being seized entirely; therefore, it is possible to take advantage of cognitive solutions to evolve and transform traditional healthcare processes into a s-health services. Towards the development of Guadalajara's Smart city there are several Mobile Mammography Service units. These units are able to provide the citizens the results of their Breast Cancer test in a period from 3 to 6 months, but in many cases, this period of time could be a problem for the women under test. In this work, an Information Technology (IT) prototype that focuses in accelerating the process for breast cancer detection is proposed. This prototype is an application powered by IBM Watson's Cloud Cognitive Services. Also a customized methodology that facilitates the integration of leading edge technologies is described in this article. This methodology was used in order to develop the s-Health solution presented. The project is being developed due to a partnership between the Smart Cities Innovation Center at Universidad de Guadalajara and IBM, also the development of this prototype is being validated by a potential collaboration under legal review, with the Hospital Civil de Guadalajara, Mexico.","PeriodicalId":171503,"journal":{"name":"2016 IEEE International Smart Cities Conference (ISC2)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Smart Cities Conference (ISC2)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISC2.2016.7580862","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Nowadays the use of leading edge technologies oriented towards healthcare is not being seized entirely; therefore, it is possible to take advantage of cognitive solutions to evolve and transform traditional healthcare processes into a s-health services. Towards the development of Guadalajara's Smart city there are several Mobile Mammography Service units. These units are able to provide the citizens the results of their Breast Cancer test in a period from 3 to 6 months, but in many cases, this period of time could be a problem for the women under test. In this work, an Information Technology (IT) prototype that focuses in accelerating the process for breast cancer detection is proposed. This prototype is an application powered by IBM Watson's Cloud Cognitive Services. Also a customized methodology that facilitates the integration of leading edge technologies is described in this article. This methodology was used in order to develop the s-Health solution presented. The project is being developed due to a partnership between the Smart Cities Innovation Center at Universidad de Guadalajara and IBM, also the development of this prototype is being validated by a potential collaboration under legal review, with the Hospital Civil de Guadalajara, Mexico.