Skip to main content
Top

08-06-2024

A Comprehensive Study and Research Perception towards Secured Data Sharing for Lung Cancer Detection with Blockchain Technology

Authors: Hari Krishna Kalidindi, N. Srinivasu

Published in: Annals of Data Science

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Modernization in the healthcare industry is happening with the support of artificial intelligence and blockchain technologies. Collecting healthcare data is done through any Google survey from different governing bodies and data available on the Web of Sciences. However, the researchers continually suffered on developing effective classification approaches. In the recently developed models, deep learning is used for better generalization and training performance using a massive amount of data. A better learning model is built by sharing the data from organizations like research centers, testing labs, hospitals, etc. Each healthcare institution requires proper data privacy, and thus, these industries desire to use efficient and accurate learning systems for different applications. Among various diseases in the world, lung cancer is one of a hazardous diseases. Thus, early identification of lung cancer and followed by the appropriate treatment can save a life. Hence, the Computer Aided Diagnosis (CAD) model is essential for supporting healthcare applications. Therefore, an automated lung cancer detection models are developed to identify cancer from the different modalities of medical images. As a result, the privacy concern in clinical data restricts data sharing between various organizations based on legal and ethical problems. Hence, for these security reasons, the blockchain comes into focus. Here, there is a need to get access to the blockchain by healthcare professionals for displaying the clinical records of the patient, which ensures the security of the patient’s data. For this purpose, artificial intelligence utilizes numerous techniques, large quantities of data, and decision-making capability. Thus, the medical system must have democratized healthcare, reduced costs, and enhanced service efficiency by combining technological advancement. Therefore, this paper aims to review several lung cancer detection approaches in data sharing to help future research. Here, the systematic review of lung cancer detection models is done based on ML and DL algorithms. In recent years, the fundamental well-performed techniques have been discussed by categorizing them. Furthermore, the simulation platforms, dataset utilized, and performance measures are evaluated as an extended review. This survey explores the challenges and research findings for supporting future works. This work will produce many suggestions for future professionals and researchers for enhancing the secure data transmission of medical data.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
30.
56.
go back to reference Sreeprada V, Vedavathi K (2024) Analysis of protecting Lung Cancer images using visual cryptography. Int J Intell Syst Appl Eng 12(1):339–345 Sreeprada V, Vedavathi K (2024) Analysis of protecting Lung Cancer images using visual cryptography. Int J Intell Syst Appl Eng 12(1):339–345
91.
93.
go back to reference Hannah S, Deepa AJ, Chooralil VS, Sangeetha SB, Yuvaraj N, Raja RA, Suresh C, Vignesh R, Abdullah RY, Srihari K, Alene A (2022) Blockchain-Based Deep Learning to Process IoT Data Acquisition in Cognitive Data. Biomed Res. Int 2022. https://doi.org/10.1155/2022/5038851 Hannah S, Deepa AJ, Chooralil VS, Sangeetha SB, Yuvaraj N, Raja RA, Suresh C, Vignesh R, Abdullah RY, Srihari K, Alene A (2022) Blockchain-Based Deep Learning to Process IoT Data Acquisition in Cognitive Data. Biomed Res. Int 2022. https://​doi.​org/​10.​1155/​2022/​5038851
106.
go back to reference Olson DL, Shi Y (2007) Introduction to Business Data Mining. McGraw-Hill/Irwin Olson DL, Shi Y (2007) Introduction to Business Data Mining. McGraw-Hill/Irwin
109.
go back to reference Maloney LT, Latour E, Chen Y, Rice D, Wait AG, Nabavizadeh N, Thomas CR, Young KH, Walker JM, Holland J, Grossberg AJ (2022) Angiotensin receptor blockade and stereotactic body radiation therapy for early stage lung cancer ARB & SBRT for early stage lung cancer. Cancer Biol Ther 23(1). https://doi.org/10.1080/15384047.2022.2126250 Maloney LT, Latour E, Chen Y, Rice D, Wait AG, Nabavizadeh N, Thomas CR, Young KH, Walker JM, Holland J, Grossberg AJ (2022) Angiotensin receptor blockade and stereotactic body radiation therapy for early stage lung cancer ARB & SBRT for early stage lung cancer. Cancer Biol Ther 23(1). https://​doi.​org/​10.​1080/​15384047.​2022.​2126250
110.
go back to reference Schamschula E, Lahnsteiner A, Assenov Y, Hagmann W, Zaborsky N, Wiederstein M, Strobl A, Stanke F, Muley T, Plass C, Tümmler B, Risch A (2022) Disease-related blood-based differential methylation in cystic fibrosis and its representation in lung cancer revealed a regulatory locus in PKP3 in lung epithelial cells. Epigenetics 17(8):837–860. https://doi.org/10.1080/15592294.2021.1959976CrossRef Schamschula E, Lahnsteiner A, Assenov Y, Hagmann W, Zaborsky N, Wiederstein M, Strobl A, Stanke F, Muley T, Plass C, Tümmler B, Risch A (2022) Disease-related blood-based differential methylation in cystic fibrosis and its representation in lung cancer revealed a regulatory locus in PKP3 in lung epithelial cells. Epigenetics 17(8):837–860. https://​doi.​org/​10.​1080/​15592294.​2021.​1959976CrossRef
111.
112.
go back to reference Melese ES, Franks E, Cederberg RA, Harbourne BT, Shi R, Wadsworth BJ, Collier JL, Halvorsen EC, Johnson F, Luu J, Oh MH, LamV, Krystal G, Hoover SB, Raffeld M, Simpson RM, Unni AM, Lam WL, Lam S, Abraham N, Bennewith KL, LockwoodWW (2022) CCL5 production in lung cancer cells leads to an altered immune microenvironment and promotes tumor development. OncoImmunology 11(1). https://doi.org/10.1080/2162402X.2021.2010905 Melese ES, Franks E, Cederberg RA, Harbourne BT, Shi R, Wadsworth BJ, Collier JL, Halvorsen EC, Johnson F, Luu J, Oh MH, LamV, Krystal G, Hoover SB, Raffeld M, Simpson RM, Unni AM, Lam WL, Lam S, Abraham N, Bennewith KL, LockwoodWW (2022) CCL5 production in lung cancer cells leads to an altered immune microenvironment and promotes tumor development. OncoImmunology 11(1). https://​doi.​org/​10.​1080/​2162402X.​2021.​2010905
117.
go back to reference Sakata S, Otsubo K, Yoshida H, Ito K, Nakamura A, Teraoka S, Matsumoto N, Shiraishi Y, Haratani K, Tamiya M, Ikeda S, Miura S, Tanizaki J, Omori S, Yoshioka H, Hata A, Yamamoto N, Nakagawa K (2022) Real-world data on NGS using the Oncomine DxTT for detecting genetic alterations in non‐small‐cell lung cancer: WJOG13019L. National Center for. Biotechnol Inform 113(1):221–228. https://doi.org/10.1111/cas.15176CrossRef Sakata S, Otsubo K, Yoshida H, Ito K, Nakamura A, Teraoka S, Matsumoto N, Shiraishi Y, Haratani K, Tamiya M, Ikeda S, Miura S, Tanizaki J, Omori S, Yoshioka H, Hata A, Yamamoto N, Nakagawa K (2022) Real-world data on NGS using the Oncomine DxTT for detecting genetic alterations in non‐small‐cell lung cancer: WJOG13019L. National Center for. Biotechnol Inform 113(1):221–228. https://​doi.​org/​10.​1111/​cas.​15176CrossRef
121.
122.
128.
go back to reference Yu Q, Chen J, Fu W, Muhammad KG, Li Y, Liu W, Xu L, Dong H, Wang D, Liu J, Lu Y, Chen X (2022) Smartphone-based platforms for clinical detections in lung-Cancer-related exhaled breath biomarkers: a review. Smartphone-Based Sens Biomedical Appl 12(4). https://doi.org/10.3390/bios12040223 Yu Q, Chen J, Fu W, Muhammad KG, Li Y, Liu W, Xu L, Dong H, Wang D, Liu J, Lu Y, Chen X (2022) Smartphone-based platforms for clinical detections in lung-Cancer-related exhaled breath biomarkers: a review. Smartphone-Based Sens Biomedical Appl 12(4). https://​doi.​org/​10.​3390/​bios12040223
135.
go back to reference Omage JI, Easterday E, Rumph JT, Brula I, Hill B, Kristensen J, Ha DT, Galindo CL, Danquah MK, Sims N, Nguyen VT (2022) Cancer Diagnostics and early detection using Electrochemical aptasensors. Front Biosens 13(4). https://doi.org/10.3390/mi13040522 Omage JI, Easterday E, Rumph JT, Brula I, Hill B, Kristensen J, Ha DT, Galindo CL, Danquah MK, Sims N, Nguyen VT (2022) Cancer Diagnostics and early detection using Electrochemical aptasensors. Front Biosens 13(4). https://​doi.​org/​10.​3390/​mi13040522
Metadata
Title
A Comprehensive Study and Research Perception towards Secured Data Sharing for Lung Cancer Detection with Blockchain Technology
Authors
Hari Krishna Kalidindi
N. Srinivasu
Publication date
08-06-2024
Publisher
Springer Berlin Heidelberg
Published in
Annals of Data Science
Print ISSN: 2198-5804
Electronic ISSN: 2198-5812
DOI
https://doi.org/10.1007/s40745-024-00537-0

Premium Partner