此外,MLBDD 未来的工作可能集中在具有高度不平衡数据和高度缺失数据的多类分类,使用 XAI 对多类数据分类的解释和解释,以及优化包含数值、分类和图像数据的大数据。
The prevalence of cardiocerebrovascular disease (CVD) is continuously increasing, and it is the leading cause of human death. Since it is difficult for physicians to screen thousands of people, high-accuracy and interpretable methods need to be presented
Machine learning-based diagnosis of eye-diseasesdoi:10.11591/ijeecs.v32.i2.pp787-795Yousif, Thanaa HasanTomah, Nahla AliMohsin, Marwa JaleelIndonesian Journal of Electrical Engineering & Computer Science
Knee osteoarthritis (KOA) is characterized by pain and decreased gait function. We aimed to find KOA-related gait features based on patient reported outcome measures (PROMs) and develop regression models using machine learning algorithms to estimate KOA
Identification and stratification of stemness related characteristics in patients with glioma might aid in the diagnosis and treatment of the disease. In this study, we calculated the mRNA stemness index in bulk and single-cell RNA-sequencing datasets using machine learning methods and investigated ...
The deep learning theories construct end-to-end diagnosis models to automatically learn features from the collected data, and subsequently recognize the health states of machines. It should be concerned that the successes of deep learning-based diagnosis models are subject to enough labeled samples. ...
There is increasing interest in machine learning-based prediction models in inflammatory bowel diseases [IBD]. We synthesised and critically appraised studies comparing machine learning vs traditional statistical models, using routinely available clinical data for risk prediction in IBD. METHODS. Through a...
地址:http://archive.ics.uci.edu/ml/machine-learning-databases/breast-cancer-wisconsin/下载wbdc.data和wbdc.names这两个数据集,数据经过整理,成为面板数据。查看数据结构,其中第一列为id列,无特征意义,需要删除。第二列diagnosis为响应变量(B,M),字符型,一般在R语言中分类任务都要求响应变量为因子类型,因此...
作者:Suzuki, Kenji 编 出版年:2012-1 页数:524 定价:$ 276.85 ISBN:9781466600591 豆瓣评分 目前无人评价 评价: 写笔记 写书评 加入购书单 分享到 推荐 我要写书评 Machine Learning in Computer-Aided Diagnosis的书评 ···(全部 0 条)
learning the disease signal in the presence of identity confounding). For instance, for the classifier built with the voice data based on a small subset of subjects (Fig.2c), the fact that the observed AUC falls right in the middle of the permutation null indicates that the classifier is ...