کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4961859 1446519 2016 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Introducing a Pilot Data Collection Model for Real-time Evaluation of Data Redundancy
ترجمه فارسی عنوان
معرفی یک مدل جمع آوری داده های خلبان برای ارزیابی زمانبندی بارگیری داده ها
کلمات کلیدی
جمع آوری اطلاعات پویا، سیستم های حمایت از تصمیم گیری بالینی، ارزیابی ریسک، طبقه بندی خطر، مراقبت های بهداشتی، سلامت روان،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
چکیده انگلیسی

In order to reduce serious health incidents, individuals with high risks need to be identified as early as possible so that effective intervention and preventive care can be provided. This requires regular and efficient assessments of risk within communities that are the first point of contacts for individuals.Clinical Decision Support Systems CDSSs have been developed to help with the task of risk assessment, however such systems and their underpinning classification models are tailored towards those with clinical expertise. Communities where regular risk assessments are required lack such expertise. This paper presents the continuation of GRiST research team efforts to disseminate clinical expertise to communities. Based on our earlier published findings, this paper introduces the framework and skeleton for a data collection and risk classification model that evaluates data redundancy in real-time, detects the risk-informative data and guides the risk assessors towards collecting those data. By doing so, it enables non-experts within the communities to conduct reliable Mental Health risk triage.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Procedia Computer Science - Volume 96, 2016, Pages 577-586
نویسندگان
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