Abstract
The SEER database is among the persuading stores regarding malignancy pointers inside us. The SEER list helps impact investigation for the gigantic measure of patients’ bolstered viewpoints for the most part ordered as an insightful segment and impact. Assistant careful proof nearly the carcinoma dataset is ordinarily started on the site of the National Cancer Institute. The main point of this work is that depending on the individual’s manifestations, and we will foresee whether individuals are in danger of malignant growth or not. Perseverance and desire for the benefit of malignant growth patients have the option to upsurge prophetic exactitude and limit in the end cause better-educated decisions. To the current end, various amendments smear AI to disease data of the surveillance, epidemiology, and end results database. It may be used to better forecast cancer in the medical sector, and these studies can give a good chance to enhance existing models and build new models for uncommon cancers of minority groups in particular. In this paper, the authors contribute to getting more predicted accuracy for SEER cancer and use it to better forecast cancer in the medical sector.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Abid DM, Haque A, Hossain MK (2020) Factors causing stunting among under-five children in Bangladesh. In: International congress on information and communication technology. Springer, Singapore, pp 45–53
Vejendla LN, Gopi AP (2019) Avoiding interoperability and delay in healthcare monitoring system using blockchain technology. Rev d'Intell Artif 33(1):45–48
Chaitanya K, Venkateswarlu S (2016) Detection of blackhole & greyhole attacks in MANETs based on acknowledgement based approach. J Theor Appl Inf Technol 89(1):228
Patibandla RSML, Veeranjaneyulu N (2018) Performance analysis of partition and evolutionary clustering methods on various cluster validation criteria. Arab J Sci Eng 43:4379–4390
Lakshmi Patibandla RSM, Kurra SS, Veeranjaneyulu N (2015) A study on real-time business intelligence and big data. Inf Eng 4:1–6
Santhisri K, Lakshmi PRSM (2015) Comparative study on various security algorithms in cloud computing. Recent Trends Program Lang 2(1):1–6
Lakshmi PRSM, Sri KS, Bhujanga Rao MV (2017) Workload management through load balancing algorithm in scalable cloud. IJASTEMS 3(1):239–242
Patibandla RSML, Veeranjaneyulu N (2018) Explanatory & complex analysis of structured data to enrich data in analytical appliance. Int J Mod Trends Sci Technol 04(Special Issue 01):147–151
Dumala A, PallamSetty S (2019) Performance analysis of LAMAR routing protocol in VANET and MANET. Int J Comput Sci Eng (IJCSE) 7(5):1237–1242
Dumala A, PallamSetty S (2018) A comparative study of various mobility speeds of nodes on the performance of LAMAR in mobile adhoc network. Int J Comput Sci Eng (IJCSE) 6(9):192–198
Dumala A, PallamSetty S (2018) Investigating the Impact of IEEE 802.11 power saving mode on the performance of LAMAR routing protocol in MANETs. Int J Sci Res Comput Sci Manag Stud (IJARCSMS) 7(4)
Dumala A, PallamSetty S (2016) Analyzing the steady-state behavior of RIP and OSPF routing protocols in the context of link failure and link recovery in Wide Area Network. Int J Compu Sci Organ Trends (IJCOT) 34(2):19–22
Dumala A, PallamSetty S (2016) Investigating the impact of simulation time on convergence activity & duration of EIGRP, OSPF routing protocols under link failure and link recovery in WAN using OPNET modeller. Int J Comput Sci Trends Technol (IJCST) 4(5):38–42
Pavani V, Ramesh Babu I (2019) A novel method to optimize the computation overhead in cloud computing by using linear programming. Int J Res Anal Rev 6(2):820–830
Papasani A, Devarakonda N (2016) Improvement of AOMDV routing protocol in MANET and performance analysis of security attacks. Int J Res Comput Sci Eng 6(5):4674–4685
Reshmi Khader Bhai Sk, Suresh Babu K (2015) Big data search space reduction based on user perspective using map reduce. Int J Adv Technol Innov Res 07(18):3642–3647
Suresh Kumar BV, Reshmi Khader Bhai Sk (2018) BIG-IOT framework applications and challenges: a survey, vol 7, Issue VII, JULY/2018, pp 1257–1264
Sandhya Krishna P, Reshmi Khader Bhai Sk, Pavani V (2019) Unsupervised or supervised feature finding for study of products sentiment. Int J Adv Sci Technol 28(16)
Santhi Sri K, Prasad A (2013) A review of cloud computing and security issues at different levels in cloud computing. Int J Adv Comput Theory Eng 2:67–73
Santhi Sri K, Veeranjaneyulu N (2018) A novel key management using elliptic and Diffie-Hellman for managing users in cloud environment. Adv Model Anal B 61(2):106–112
Snow A et al (2021) Incidence of radiation-induced sarcoma attributable to radiotherapy in adults: a retrospective cohort study in the SEER cancer registries across 17 primary tumor sites. Cancer Epidemiol 70:101857
Comprehensive Cancer Information—National Cancer Institute, accessed 1 May 2021, from cancer.gov
Tobin JL et al (2020) Estimating cancer treatment intensity from SEER cancer registry data: methods and implications for population-based registry studies of pediatric cancers. Cancer Causes & Control 31(10):881–890
Coleman NC et al (2020) Fine particulate matter exposure and cancer incidence: analysis of SEER cancer registry data from 1992–2016. Environ Health Perspect 128(10):107004
Mariotto A et al (2020) Projecting SEER cancer survival rates to the US: an ecological regression approach. Cancer Causes & Control 13(2):101–111
Hegselmann S et al (2018) Reproducible survival prediction with SEER cancer data. In: Machine learning for healthcare conference. PMLR
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Abid, D.M.H. et al. (2023). A Machine Learning Approach to Predict SEER Cancer. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Seventh International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 448. Springer, Singapore. https://doi.org/10.1007/978-981-19-1610-6_7
Download citation
DOI: https://doi.org/10.1007/978-981-19-1610-6_7
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-1609-0
Online ISBN: 978-981-19-1610-6
eBook Packages: EngineeringEngineering (R0)