Artificial Neural Network Model for Predicting Lung Cancer Survival

Journals Menu

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Journal of Data Analysis and Information Processing

ISSN Print: 2327-7211
ISSN Online: 2327-7203
www.scirp.org/journal/jdaip
E-mail: jdaip@scirp.org

Google-based Impact Factor: 3.58
Citations

Journals Menu

"Artificial Neural Network Model for Predicting Lung Cancer Survival"
written by Hansapani Rodrigo, Chris P. Tsokos,
published by Journal of Data Analysis and Information Processing, Vol.5 No.1, 2017

has been cited by the following article(s):

Google Scholar
CrossRef

[1]	Journal of Current Development in Artificial Intelligence
	II, 2023

[2]	A systematic review on machine learning and deep learning techniques in cancer survival prediction
	Progress in Biophysics and Molecular Biology, 2022

[3]	Comparing an Artificial Neural Network to Logistic Regression for Predicting ED Visit Risk Among Patients With Cancer: A Population-Based Cohort Study
	2020

[4]	Prediction models for survival data with machine learning: an application to soft tissue sarcoma cohort
	2020

[5]	Leveraging hybrid biomarkers in clinical endpoint prediction
	2020

[6]	ANALISIS SENTIMEN REGISTRASI ULANG KARTU SIM PADA TWITTER MENGGUNAKAN ALGORITMA SVM DAN K-NN
	2019

[7]	PREDIKSI PENYAKIT KARDIOVASKULAR DENGAN ALGORITMA NEURAL NETWORK
	2019

[8]	基于人工神经网络模型的肺癌 CT 图像分割算法
	2019

[9]	PREDICTION AND ANALYSIS OF CARDIOVASCULAR DISEASE WITH NEURAL NETWORK ALGORITHM
	Techno Nusa Mandiri, 2019

[10]	PREDIKSI DAN ANALISIS PENYAKIT KARDIOVASKULAR DENGAN ALGORITMA NEURAL NETWORK
	Jurnal …, 2019

[11]	Red-Black Tree Based NeuroEvolution of Augmenting Topologies
	2019

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Journal of Data Analysis and Information Processing

Journal of Data Analysis and Information Processing

Journals Menu

Home

About SCIRP

Service

Policies

[1]	Comparing an artificial neural network to logistic regression for predicting ED visit risk among patients with cancer: a population-based cohort study Journal of Pain and Symptom Management, 2020 DOI:10.1016/j.jpainsymman.2020.02.010

[2]	Leveraging hybrid biomarkers in clinical endpoint prediction BMC Medical Informatics and Decision Making, 2020 DOI:10.1186/s12911-020-01262-3