Efficient prediction of cardiovascular disease using machine learning algorithms with relief and LASSO feature selection techniques
Cardiovascular diseases (CVD) are among the most common serious illnesses affecting
human health. CVDs may be prevented or mitigated by early diagnosis, and this may reduce …
human health. CVDs may be prevented or mitigated by early diagnosis, and this may reduce …
Expert cancer model using supervised algorithms with a LASSO selection approach
One of the most critical issues of the mortality rate in the medical field in current times is
breast cancer. Nowadays, a large number of men and women are facing cancer-related …
breast cancer. Nowadays, a large number of men and women are facing cancer-related …
[HTML][HTML] A hybrid deep neural net learning model for predicting Coronary Heart Disease using Randomized Search Cross-Validation Optimization
Abstract Coronary Heart Disease (CHD) is a life-threatening public health problem. Many
chronic CHDs and health risks can be avoided, reversed, and reduced with proper risk …
chronic CHDs and health risks can be avoided, reversed, and reduced with proper risk …
Categorizing white blood cells by utilizing deep features of proposed 4B-AdditionNet-based CNN network with ant colony optimization
White blood cells, WBCs for short, are an essential component of the human immune
system. These cells are our body's first line of defense against infections and diseases …
system. These cells are our body's first line of defense against infections and diseases …
HypGB: high accuracy GB classifier for predicting heart disease with HyperOpt HPO framework and LASSO FS method
A Jafar, M Lee - IEEE Access, 2023 - ieeexplore.ieee.org
Early prediction of cardiovascular disease is crucial for medical experts to make informed
decisions. Effective diagnosis of heart disease can help prevent heart failure, heart attacks …
decisions. Effective diagnosis of heart disease can help prevent heart failure, heart attacks …
A particle filter based reference fingerprinting map recalibration method
C Chu, S Yang - IEEE Access, 2019 - ieeexplore.ieee.org
A Reference Fingerprinting Map (RFM) is the basis for fingerprinting-based Wifi positioning.
The quality of RFM is one of the major factors for positioning accuracy. The RFM constantly …
The quality of RFM is one of the major factors for positioning accuracy. The RFM constantly …
Modified Jaccard index analysis and adaptive feature selection for location fingerprinting with limited computational complexity
We propose an approach for fingerprinting-based positioning which reduces the data
requirements and computational complexity of the online positioning stage. It is based on a …
requirements and computational complexity of the online positioning stage. It is based on a …
[PDF][PDF] 一种基于先验信息的WiFi 室内定位方法
杨敏， 刘思怡 - 电子测量与仪器学报, 2023 - jemi.cnjournals.com
多种室内定位技术中, 基于WiFi 的定位在基于位置的服务(location based service, LBS)
中有着巨大的应用潜力. 提出一种新的室内WiFi 定位方法, 结合分级定位结构 …
中有着巨大的应用潜力. 提出一种新的室内WiFi 定位方法, 结合分级定位结构 …
CDM: Compound dissimilarity measure and an application to fingerprinting-based positioning
A non-vector-based dissimilarity measure is proposed by combining vector-based distance
metrics and set operations. This proposed compound dissimilarity measure (CDM) is …
metrics and set operations. This proposed compound dissimilarity measure (CDM) is …
An improved hierarchical WLAN positioning method based on apriori knowledge
KT Fang, CT Lee, L Sun - Electronics, 2019 - mdpi.com
The hierarchical-based structure is recognized as a favorable structure for wireless local
area network (WLAN) positioning. It is comprised of two positioning phases: the coarse …
area network (WLAN) positioning. It is comprised of two positioning phases: the coarse …