Azar AT, El-Metwally SM (2013) Decision tree classifiers for automated medical diagnosis. Neural Comput Appl 23(7–8):2387–2403 (Springer). : 10.1007/s00521-012-1196-7Azar AT, El-Metwally SM (2013) Decision tree classifiers for automated medical diagnosis. Neural Comput Appl 23(...
Improving medical diagnosis reliability using Boosted C5.0 decision tree empowered by Particle Swarm OptimizationAccuracyDecision trees E Pashaei,M Ozen,N Aydin - IEEE 被引量: 1发表: 2015年 Performance Evaluation of Decision Tree Classifiers on Medical Datasets D.Lavanya In data mining, classification...
Decision Trees – Learn rules – Duplicate MYCIN-style diagnosis • Automatically acquired • Readily interpretable cf Neural Nets/Nearest Neighbor Learning: Identification Trees • (aka Decision Trees) • Supervised learning • Primarily classification • Rectangular decision boundaries – More ...
展开 关键词: Heart Data analysis Pipelines Feature extraction Breast cancer Decision trees Medical diagnosis Medical diagnostic imaging Tuning Diseases 会议名称: 2024 First International Conference on Electronics, Communication and Signal Processing (ICECSP) 主办单位: IEEE 收藏...
Atherosclerosis diagnosis is an indistinct and complex cognitive process. Artificial intelligence methods, such as machine learning algorithms, have proven their efficiency in Medical Diagnosis Support Systems (MDSS). In this paper, we developed a novel machine learning MDSS to boost the diagnosis of ...
An automated framework for stroke and hemorrhage detection using decision tree classifier Medical imaging plays an important role in the early detection and treatment of medical diagnosis. It provides physicians with information essential for ef... DV Kumar,VVJR Krishniah - IEEE 被引量: 1发表: 201...
The algorithm described in simple terms essential points of the thought process of a doctor making the decision, and it showed which parameters describing the patients condition were most relevant to the diagnosis. There were only four of them, narrowing down the initial slate of forty or...
The I2CVB provides a multi-parametric MRI dataset to help at the development of computer-aided detection and diagnosis (CAD) system. Access: http://i2cvb.github.io/ Access: http://www.ehealthlab.cs.ucy.ac.cy/index.php/facilities/32-software/218-datasets MRI Lesion Segmentation in Multiple...
The I2CVB provides a multi-parametric MRI dataset to help at the development of computer-aided detection and diagnosis (CAD) system. Access: http://i2cvb.github.io/ Access: http://www.ehealthlab.cs.ucy.ac.cy/index.php/facilities/32-software/218-datasets MRI Lesion Segmentation in Multiple...
The data set includes 43 attributes containing information on vital signs, diagnosis, and clinical laboratory measurements. The data set contains 23, 095 individuals (12,694 males (55%) and 10,401 (45%) females) with ages that range between 17 and 96. Half of the patients have a family ...