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首页> 外文会议>International Conference on Computing and Information Technology >Collecting Child Psychiatry Documents of Clinical Trials from PubMed by the SVM Text Classification Method with the MATF Weighting Scheme
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Collecting Child Psychiatry Documents of Clinical Trials from PubMed by the SVM Text Classification Method with the MATF Weighting Scheme

机译：通过使用MATF加权方案，通过SVM文本分类方法收集来自Pubmed的临床试验的儿童精神病文献

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摘要

Child psychiatry is a branch of psychiatry focused on the diagnosis, treatment, and prevention of mental health issues in children and their families. In many countries, the study of disorders such as ADHD (Attention-Deficit/Hyperactivity Disorder) by child and adolescent psychiatry is still in its infancy, with the result that children's mental health issues can be the source of embarrassment for the family and of shame for many children. Misunderstanding, denying, and ignoring children's mental health issues by parents are the main problem encountered in diagnosis and treatment of mental health issues in children. To help parents and extended families understand this problem better, and thus help them to better care for children with mental health issues, starting with seeking help from a psychiatrist without embarrassment, an easily accessible and reliable source of information is urgently needed. To develop such a single source of information, relevant documents need to be gathered together. This study presents a method of gathering reports of clinical trials from PubMed which describe diagnosis and treatment of child mental health issues. The main mechanism of the proposed method is a Support Vector Machine with a Multi Aspect TF (MATF) weighting scheme. After testing by recall, precision, and Fl, it can return satisfactory results of 0.82, 0.79, and 0.80 respectively.
机译：儿童精神病学是一个精神科的分支，重点是儿童及其家人的诊断，治疗和预防心理健康问题。在许多国家，儿童和青少年精神病学的疾病等疾病的研究仍处于初期阶段，结果是，儿童的心理健康问题可能是家庭尴尬的来源和羞耻对于许多孩子。父母的误解，否认和忽视儿童的心理健康问题是儿童心理健康问题诊断和治疗的主要问题。为了帮助父母和大家庭更好地了解这个问题，从而帮助他们更好地照顾有心理健康问题的儿童，从未尴尬的精神科医生寻求帮助，迫切需要轻松访问，可靠的信息来源。要制定这样的单一信息来源，需要聚集在一起的相关文件。本研究提出了一种从PubMed中收集临床试验报告的方法，描述儿童心理健康问题的诊断和治疗。所提出的方法的主要机制是具有多方面TF（MATF）加权方案的支持向量机。通过召回，精度和FL进行测试后，它可以分别返回0.82,0.79和0.80的令人满意的结果。

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