嬴子墨项目:脑中风预测回归模型分析修改时间:2021/04/07 00:53
The section of the experimentation includes a stroke incidents dataset fetched from the Kaggle dataset provider. This chapter also provides a literature survey on data mining applications in the healthcare sector, while discussing the abovementioned machine learning concepts.Michailidis, Georgios...
It is now clear that aggregated data may indeed introduce privacy risks. Membership inference attacks35, or more broadly tracing attacks12, can discern whether an individual of known characteristics is present in aggregated data. If the dataset contains sensitive information—such as status of HIV, ...
American Life in Real-Time:Creating the first large-scale, nationally representative digital health dataset READ Better Understanding of the Metamorphosis of Pregnancy (BUMP) Evidation partnered with 4YouandMe to provide a platform to manage data collection, processing, and storage for the BUMP longitud...
The researchers analyzed data from the national health-care databases of the U.S. Department of Veterans Affairs. The dataset included 73,435 VHA patients with confirmed COVID-19 but who were not hospitalized and, for comparison, almost 5 million VHA patients who did not have a COVID-19 ...
The data obtained [31] contained recordings of physiological signal of the human body during sleeping. ECG, EEG, blood pressure, and respiration were included in MITBPD. The reason for using MITBPD dataset is because it is one of public ECG datasets which has labelled annotations and has been...
Stroop色词测验-斯特鲁普色词测验(Stroop Color and Word Test),目的用于,区分非脑损伤精神病患者和脑损伤患者。基于以下观察结果:个人阅读单词的速度比识别和命名颜色的速度快得多。Stroop色词测验,利用认知维度与认知灵活性,抵抗外界刺激的干扰,创造力和精神(心
Taxonomy of medical imaging dataset. Full size image An overview of all the image datasets, associated diseases, and techniques/technologies used for retrieving medical data is presented. [NOTE: All the presented datasets in the work are public and links are provided in the appendix. As of April...
Advancements in artificial intelligence (AI) have driven extensive research into developing diverse multimodal data analysis approaches for smart healthcare. There is a scarcity of large-scale analysis of literature in this field based on quantitative approaches. This study performed a bibliometric and to...
But taking AI from concept to implementation in clinical workflows and research and development (R&D) requires much more than just a large dataset. It requires an effective and efficient data pipeline. To unlock the potential of AI, you need the ability to capture, prepare, access, move, and...