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...
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...
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
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...
Thereport from the NCBI studystates that AI-based algorithms successfully detected 68% of COVID-19 positive cases in a dataset of 25 patients diagnosed as negative cases by healthcare professionals. North America is the biggest contributor to the AI in healthcare market with a whopping 59.1% ma...
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...
There are a number of limitations and future directions to our study. Given that Chinese commercial health insurance companies are still in the process of exploring the use of health big data, and have not yet formed a complete healthcare big data dataset, it is impossible to quantitatively mea...
Data generation— This includes digitizing and ingesting data produced by wearables, imaging, and MRIs among other methods. This data stream is critical to AI-driven anomaly detection. Disease detection— Using AI to detect anomalies in a given dataset that might signal the presence of some disease...