Department of Urology, Wuxi No. 9 People's Hospital Affiliated to Soochow University, Wuxi 214062, Jiangsu, China.
Department of Urology, the Second Affiliated Hospital of Soochow University, Suzhou 215004, Jiangsu, China.
Comput Intell Neurosci. 2022 May 18;2022:1947504. doi: 10.1155/2022/1947504. eCollection 2022.
Smart medical uses the medical information platform and the current technological means to enable the process of sharing information between medical staff and medical equipment. The combination of current technology and the medical field has become the norm. In the future, more artificial intelligence technologies will be integrated into the medical field to promote the development of medical care. At present, the information on the Internet is very large and complex, and general search engines often do not have knowledge in certain professional fields and can only perform shallow keyword searches. Therefore, it is difficult to meet people's medical diagnosis needs, and smart medical care can solve these needs. Medical imaging refers to the technology or process of obtaining internal tissue images of a certain part of the human body for medical research, including medical imaging systems and medical image processing. Medical image processing refers to the further processing of the obtained images, the purpose of which is either to restore the original image that was not clear enough or to highlight some characteristic information in the image. The purpose of this paper is to study the research on the selection of T1 stage renal tumor resection based on the imaging MAP score under smart medical care. It is hoped that through smart medicine and medical imaging technology, it can help renal tumor resection, reduce the sequelae of renal tumor resection, and promote the development of medical services. This paper proposes applying natural language processing technology to the medical field, creating an intelligent diagnosis assistance system, and using the existing medical record data to realize the corresponding medical assistance functions. It studies the class imbalance problem prevalent in medical datasets and provides better solutions through ensemble learning techniques to improve classifier performance when the number of positive and negative samples is unbalanced. The experimental results in this paper show that the creatinine of patients undergoing renal tumor resection combined with smart medicine and imaging technology is stable at 75 mol/L, while the creatinine is stable at 71 mol/L in other methods. It shows that the postoperative effect of smart medical treatment and imaging technology is better.
智慧医疗利用医疗信息平台和当前的技术手段，实现医护人员与医疗设备之间的信息共享过程。当前技术与医疗领域的结合已经成为常态。在未来，将会有更多的人工智能技术融入到医疗领域，促进医疗保健的发展。目前，互联网上的信息非常庞大和复杂，一般的搜索引擎通常在某些专业领域没有知识，只能进行浅层的关键词搜索。因此，很难满足人们的医疗诊断需求，而智慧医疗可以解决这些需求。医学影像指的是获取人体某一部位内部组织图像的技术或过程，用于医学研究，包括医学成像系统和医学图像处理。医学图像处理是指对所获得的图像进行进一步处理，目的要么是还原不够清晰的原始图像，要么是突出图像中的某些特征信息。本文旨在研究基于智慧医疗下的成像 MAP 评分选择 T1 期肾肿瘤切除术的研究。希望通过智慧医学和医学影像技术，帮助肾肿瘤切除术，减少肾肿瘤切除术的后遗症，促进医疗服务的发展。本文提出将自然语言处理技术应用于医疗领域，创建智能诊断辅助系统，并利用现有的医疗记录数据实现相应的医疗辅助功能。研究了医疗数据集普遍存在的类不平衡问题，并通过集成学习技术提供更好的解决方案，以提高分类器在正负样本数量不平衡时的性能。本文的实验结果表明，接受肾肿瘤切除术的患者，采用智慧医疗和影像技术后，肌酸酐稳定在 75μmol/L，而其他方法下肌酸酐稳定在 71μmol/L。这表明智慧医疗和影像技术的术后效果更好。
