RETRACTED ARTICLE: Lung cancer prediction using higher-order recurrent neural network based on glowworm swarm optimization

Agrawal S, Agrawal J (2015) Neural network techniques for cancer prediction: a survey. Proc Comput Sci 60:769–774

Al-Jumeily D, Ghazali R, Hussain A (2014) Predicting physical time series using dynamic ridge polynomial neural networks. PLoS ONE 9(8):1–15

Brocken P, Kiers BA, Looijen-Salamon MG, Dekhuijzen PR, Smits-van der Graaf C, Peters-Bax L, de Geus-Oei LF, van der Heijden HF (2012) Timeliness of lung cancer diagnosis and treatment in a rapid outpatient diagnostic program with combined 18fdg-pet and contrast enhanced ct scanning. Lung Cancer 75(3):336–341

Chauhan D, Jaiswal V (2016) Development of computational tool for lung cancer prediction using data mining. Int J Comput Appl Technol Res 5(17):417–421

D’Cruz J, Jadhav A, Dighe A, Chavan V, Chaudhari J (2016) Detection of lung cancer using backpropagation neural networks and genetic algorithm. Comput Technol Appl 6(5):823–827

El-Baz A, Gimel’farb G, Falk R, El-Ghar MA (2007) A new CAD system for early diagnosis of detected lung nodules. In: IEEE international conference on image processing, ICIP, vol 2. IEEE, pp 461–464

Fallahnezhad M, Moradi MH, Zaferanlouei S (2011) A hybrid higher order neural classifier for handling classification problems. Expert Syst Appl 38(1):386–393

Fang X, Netzer M, Baumgartner C, Bai C, Wang X (2013) Genetic network and gene set enrichment analysis to identify biomarkers related to cigarette smoking and lung cancer. Cancer Treat Rev 39(1):77–88

Ghazali R, Hussain AJ, Liatsis P (2011) Dynamic ridge polynomial neural network: forecasting the univariate non-stationary and stationary trading signals. Expert Syst Appl 38(4):3765–3776

Guo NL, Wan Y-W (2012) Pathway-based identification of a smoking associated 6-gene signature predictive of lung cancer risk and survival. Artif Intell Med 55(2):97–105

Hassan MM, Huda S, Yearwood J, Jelinek HF, Almogren A (2018) Multistage fusion approaches based on a generative model and multivariate exponentially weighted moving average for diagnosis of cardiovascular autonomic nerve dysfunction. Inf Fusion 41:105–118

Huda S, Yearwood J, Jelinek HF, Hassan MM, Fortino G, Buckland M (2016) A hybrid feature selection with ensemble classification for imbalanced healthcare data: a case study for brain tumor diagnosis. IEEE Access 4:9145–9154

Husaini NA, Ghazali R, Nawi NM, Ismail LH (2011) Jordan pi-sigma neural network for temperature prediction. In: International conference on ubiquitous computing and multimedia applications. Springer, pp 547–558

Ismail WN, Hassan MM, Alsalamah HA, Fortino G (2018) Mining productive-periodic frequent patterns in tele-health systems. J Netw Comput Appl 115:33–47

Karegowda AG, Prasad M (2013) A survey of applications of glowworm swarm optimization algorithm. In: International conference on computing and information technology (IC2IT). IJCA, pp 39–42

Kaur T, Gupta N (2015) Classification of lung diseases using particle swarm optimization. Int J Adv Res Electron Commun Eng 4(9):2440–2446

Krishnaiah V, Narsimha G, Chandra NS (2013) Diagnosis of lung cancer prediction system using data mining classification techniques. Int J Comput Sci Inf Technol 4(1):39–45

Kuruvilla J, Gunavathi K (2014) Lung cancer classification using neural networks for ct images. Comput Methods Progr Biomed 113(1):202–209

Liang M, Li Z, Chen T, Zeng J (2015) Integrative data analysis of multi-platform cancer data with a multimodal deep learning approach. IEEE/ACM Trans Comput Biol Bioinform 12(4):928–937

Mandal S, Banerjee I (2015) Cancer classification using neural network. Int J Emerg Eng Res Technol 3(7):172–178

Nayak J, Naik B, Behera HS (2016) A novel nature inspired firefly algorithm with higher order neural network: performance analysis. Int J Eng Sci Technol 19(1):197–211

Polat K, Güneş S (2008) Principles component analysis, fuzzy weighting pre-processing and artificial immune recognition system based diagnostic system for diagnosis of lung cancer. Expert Syst Appl 34(1):214–221

Qian Y, Zhang Y, Ma X, Han Y, Peng L (2018) Ears: emotion-aware recommender system based on hybrid information fusion. Inf Fusion 46:141–146

Shin Y, Ghosh J (1995) Ridge polynomial networks. IEEE Trans Neural Netw 6(3):610–622

Taher F, Sammouda R (2011) Lung cancer detection by using artificial neural network and fuzzy clustering methods. In: GCC conference and exhibition (GCC), IEEE. IEEE, pp 295–298

Tran Q-N (2013) A novel method for finding non-small cell lung cancer diagnosis biomarkers. BMC Med Genomics 6(1):18–21

Wang C, Li X, Dai L, Zhang G, Gao L, Zhao Q (2011) Analysis of lung cancer gender differences and age structure in the high prevalence areas of xiamen. In: IEEE international conference on spatial data mining and geographical knowledge services (ICSDM). IEEE, pp 154–159

Wang Y-B, Cheng Y-M, Zhang S-W, Chen W (2012) A seed-based approach to identify risk disease sub-networks in human lung cancer. In: IEEE 6th international conference on systems biology (ISB). IEEE, pp 135–141

Wu Y, Wang N, Zhang H, Qin L, Yan Z, Wu Y (2010) Application of artificial neural networks in the diagnosis of lung cancer by computed tomography. In: Sixth international conference on natural computation (ICNC), vol 1. IEEE, pp 147–153

Xiao S, Han Y, Yanan W, Peng Z, Zhang Y (2017) Self-evolving trading strategy integrating internet of things and big data. IEEE Internet Things J 5:2518–2525

Zhang Y, Chen M, Guizani N, Wu D, Leung VCM (2017) Sovcan: safety-oriented vehicular controller area network. IEEE Commun Mag 55(8):94–99

Zhang Y, Gravina R, Huimin L, Villari M, Fortino G (2018) Pea: parallel electrocardiogram-based authentication for smart healthcare systems. J Netw Comput Appl 117:10–16

Zhang Y, Zhixiao T, Wang Q (2017) Temporec: temporal-topic based recommender for social network services. Mob Netw Appl 22(6):1182–1191