{"title":"面向自闭症谱系障碍患者的个人健康记录系统","authors":"A. Coronato, Giovanni Paragliola","doi":"10.1109/CICARE.2014.7007839","DOIUrl":null,"url":null,"abstract":"Patients with Autism Spectrum Disorders (ASD) show symptoms that in general fall into three areas: 1) social impairment; 2) communication difficulties; and, 3) repetitive and stereotyped behaviors. The growing of people affected by such as diseases increases the need of technologies able to help better clinicians in the medical treatment. In this paper we present the designing and the developing of a Personal Health Records (PHR) system to assist clinicians and caregivers in the analyzing of clinical data and monitoring of anomalous gestures of patients with autism diseases. The detecting of anomalous gesture is made by using both Artificial Intelligence (AI) techniques and a framework based on formal methods. The research activity has been conducted in cooperation with clinicians of the Department of Child Psychiatry at Children's Hospital Santobono-Pausilipon in Naples.","PeriodicalId":120730,"journal":{"name":"2014 IEEE Symposium on Computational Intelligence in Healthcare and e-health (CICARE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Towards a Personal Health Records system for patients with Autism Spectrum Disorders\",\"authors\":\"A. Coronato, Giovanni Paragliola\",\"doi\":\"10.1109/CICARE.2014.7007839\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Patients with Autism Spectrum Disorders (ASD) show symptoms that in general fall into three areas: 1) social impairment; 2) communication difficulties; and, 3) repetitive and stereotyped behaviors. The growing of people affected by such as diseases increases the need of technologies able to help better clinicians in the medical treatment. In this paper we present the designing and the developing of a Personal Health Records (PHR) system to assist clinicians and caregivers in the analyzing of clinical data and monitoring of anomalous gestures of patients with autism diseases. The detecting of anomalous gesture is made by using both Artificial Intelligence (AI) techniques and a framework based on formal methods. The research activity has been conducted in cooperation with clinicians of the Department of Child Psychiatry at Children's Hospital Santobono-Pausilipon in Naples.\",\"PeriodicalId\":120730,\"journal\":{\"name\":\"2014 IEEE Symposium on Computational Intelligence in Healthcare and e-health (CICARE)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE Symposium on Computational Intelligence in Healthcare and e-health (CICARE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CICARE.2014.7007839\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Symposium on Computational Intelligence in Healthcare and e-health (CICARE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICARE.2014.7007839","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards a Personal Health Records system for patients with Autism Spectrum Disorders
Patients with Autism Spectrum Disorders (ASD) show symptoms that in general fall into three areas: 1) social impairment; 2) communication difficulties; and, 3) repetitive and stereotyped behaviors. The growing of people affected by such as diseases increases the need of technologies able to help better clinicians in the medical treatment. In this paper we present the designing and the developing of a Personal Health Records (PHR) system to assist clinicians and caregivers in the analyzing of clinical data and monitoring of anomalous gestures of patients with autism diseases. The detecting of anomalous gesture is made by using both Artificial Intelligence (AI) techniques and a framework based on formal methods. The research activity has been conducted in cooperation with clinicians of the Department of Child Psychiatry at Children's Hospital Santobono-Pausilipon in Naples.