相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Automated disease diagnosis and precaution recommender system using supervised machine learning
Furqan Rustam et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2022)
Breast Cancer Statistics, 2022
Angela N. Giaquinto et al.
CA-A CANCER JOURNAL FOR CLINICIANS (2022)
Non-Invasive Driver Drowsiness Detection System
Hafeez Ur Rehman Siddiqui et al.
SENSORS (2021)
Wireless Capsule Endoscopy Bleeding Images Classification Using CNN Based Model
Furqan Rustam et al.
IEEE ACCESS (2021)
Mez: An Adaptive Messaging System for Latency-Sensitive Multi-Camera Machine Vision at the IoT Edge
Anjus George et al.
IEEE ACCESS (2021)
Primary care physicians and cancer care in Pakistan: A short narrative
Muhammad Mohsin Ali et al.
JOURNAL OF CANCER POLICY (2020)
Estimation of real-driving emissions for buses fueled with liquefied natural gas based on gradient boosted regression trees
Yingjiu Pan et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2019)
Distributed Middleware for Edge Vision Systems
Anjus George et al.
2019 IEEE 16TH INTERNATIONAL CONFERENCE ON SMART CITIES: IMPROVING QUALITY OF LIFE USING ICT, IOT AND AI (IEEE HONET-ICT 2019) (2019)
Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
Freddie Bray et al.
CA-A CANCER JOURNAL FOR CLINICIANS (2018)
SVM and SVM Ensembles in Breast Cancer Prediction
Min-Wei Huang et al.
PLOS ONE (2017)
Automatic machine-learning based identification of jogging periods from accelerometer measurements of adolescents under field conditions
Eftim Zdravevski et al.
PLOS ONE (2017)
Breast cancer diagnosis using Genetically Optimized Neural Network model
Arpit Bhardwaj et al.
EXPERT SYSTEMS WITH APPLICATIONS (2015)
Feature selection with SVD entropy: Some modification and extension
Monami Banerjee et al.
INFORMATION SCIENCES (2014)
A support vector machine classifier with rough set-based feature selection for breast cancer diagnosis
Hui-Ling Chen et al.
EXPERT SYSTEMS WITH APPLICATIONS (2011)
An expert system for detection of breast cancer based on association rules and neural network
Murat Karabatak et al.
EXPERT SYSTEMS WITH APPLICATIONS (2009)
Learning from Imbalanced Data
Haibo He et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2009)
An intelligent system for automated breast cancer diagnosis and prognosis using SVM based classifiers
Ilias Maglogiannis et al.
APPLIED INTELLIGENCE (2009)
A new hybrid method based on fuzzy-artificial immune system and k-nn algorithm for breast cancer diagnosis
Seral Sahan et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2007)
Web page classification based on a support vector machine using a weighted vote schema
Rung-Ching Chen et al.
EXPERT SYSTEMS WITH APPLICATIONS (2006)
Predicting protein structural class with AdaBoost learner
Bing Niu et al.
PROTEIN AND PEPTIDE LETTERS (2006)
Mammography, breast ultrasound, and magnetic resonance imaging for surveillance of women at high familial risk for breast cancer
CK Kuhl et al.
JOURNAL OF CLINICAL ONCOLOGY (2005)
A neural network classifier capable of recognizing the patterns of all major subcellular structures in fluorescence microscope images of HeLa cells
MV Boland et al.
BIOINFORMATICS (2001)