Android Application on User Medical Reports

  • Conference paper
  • First Online:
Inventive Communication and Computational Technologies

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 383))

  • 397 Accesses

Abstract

Medical applications nowadays give a better administration to keep up with the medical records of the patients which maintain the privacy of overseeing and putting away the information and it can easily recover the information. Utilizing versatile applications with the distributed computing framework will ease the reaction of time to get and treat the patients’ lives and give them the best proficient medical care. This Android application is intended to assist the specialists with viewing the clinical history of their patients. Physicians can likewise constantly update the framework by entering the most recent clinical information of their patients. This Android application can be introduced on any Android gadget. The authority acknowledges their Medical ID is where you will record your name, age, sex, blood pack, height, weight, and contact number of a friend or relative in case of an emergency and store the data’s using cloud server. The medications we take daily will be noted and the sickness you are facing will be updated in the medical record. When the data are stored in your medical profile, if there is any emergency situation, the physician can easily understand your condition and take the further examination forward. In this way, if a patient comes for a subsequent daily practice, specialists can promptly determine the status of their fundamental clinical medicines.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Folgado-de la Rosa DM, Palazón-Bru A, Gil-Guillén VF (2020) A method to validate scoring systems based on logistic regression models to predict binary outcomes via a mobile application for Android with an example of a real case. Comput Methods Prog Biomed 196:567–572

    Google Scholar 

  2. Murugesan M, Thilagamani S (2020) Efficient anomaly detection in surveillance videos based on multilayer perception recurrent neural network. J Microprocess Microsyst 79

    Google Scholar 

  3. Aruna Devi S, Manju A (2014) Enhancing security features in cloud computing for healthcare using cipher and intercloud. Int J Res Eng Technol (IJRET) 3(3):200–203

    Article  Google Scholar 

  4. Thilagamani S, Nandhakumar C (2020) Implementing green revolution for organic plant forming using KNN-classification technique. Int J Adv Sci Technol 29:1707–1712

    Google Scholar 

  5. Padmini Devi B, Chitra S (2018) A modified black hole optimization technique to improve QOS in malicious MANET environment. J Adv Res Dyn Control Syst 10(04):725–733

    Google Scholar 

  6. Sri Varsha B, Suryateja PS (2014) Using advanced encryption standard for secure and scalable sharing of personal health records in cloud. Int J Comput Sci Inf Technol (IJCSIT) 5(6):342–355

    Google Scholar 

  7. Thilagamani S, Shanti N (2014) Gaussian and gabor filter approach for object segmentation. J Comput Inf Sci Eng 14(2):021006

    Article  Google Scholar 

  8. Dinh HT, Lee C, Niyato D, Wang P (2013) A survey of mobile cloud computing: architecture, applications, and approaches. Wirel Commun Mob Comput 13(18):1587–1611

    Article  Google Scholar 

  9. Padmini Devi B, Chitra S, Madhusudhanan B (2016) Improving security in portable medical device and mobile health care system using trust. J Med Imaging Health Inform 6(8):1955–1960

    Article  Google Scholar 

  10. Perumal P, Suba S (2022) An analysis of a secure communication for healthcare system using wearable devices based on elliptic curve cryptography. J World Rev Sci Technol Sustain Dev 18:51–58

    Google Scholar 

  11. Hanen J, Kechaou Z, Ayed MB (2016) An enhanced healthcare system in mobile cloud computing environment. Vietnam J Comput Sci 3(4):267–277

    Article  Google Scholar 

  12. Pandiaraja P, Sharmila S (2020) Optimal routing path for heterogenous vehicular adhoc network. Int J Adv Sci Technol 29(7):1762–1771

    Google Scholar 

  13. Almorsy M, Grundy J, Müller I (2016) An analysis of the cloud computing security problem 4:33–43. ar**v

    Google Scholar 

  14. Padmini Devi B, Aruna SK, Sindhanaiselvan K (2021) Performance analysis of deterministic finite automata and Turing machine using JFLAP tool. J Circ Syst Comput 30(6):2150105–2150116

    Google Scholar 

  15. Pandiaraja P, Aravinthan K, Lakshmi NR, Kaaviya KS, Madumithra K (2020) Efficient cloud storage using data partition and time based access control with secure AES encryption technique. Int J Adv Sci Technol 29(7):1698–1706

    Google Scholar 

  16. Ramakrishnan N, Sreerekha B (2015) Enhancing security of personal health records in cloud computing by encryption. Int J Sci Res 4(4):298–302

    Google Scholar 

  17. Rajesh Kanna P, Santhi P (2021) Unified deep learning approach for efficient intrusion detection system using integrated spatial–temporal features. Knowl-Based Syst 226

    Google Scholar 

  18. Ameta D, Mudaliar K, Patel P (2015) Medication reminder and healthcare—an android application. Int J Manag Public Sector Inform Commun Technol 6:39–48

    Google Scholar 

  19. Santhi P, Mahalakshmi G (2019) Classification of magnetic resonance images using eight directions gray level co-occurrence matrix (8dglcm) based feature extraction. Int J Eng Adv Technol 8(4):839–846

    Google Scholar 

  20. Guigou S, Michel T, Mérité P-Y, Coupier L, Meyer F (2021) Home vision monitoring in patients with maculopathy. J Français d'Ophtalmologie 44:6–10

    Google Scholar 

  21. Deepa K, Thilagamani S (2019) Segmentation techniques for overlapped latent fingerprint matching. Int J Innov Technol Explor Eng 8(12):1849–1852

    Article  Google Scholar 

  22. Hameed SA, Mustapha S, Mardhiyah A, Miho V (2020) Electronic medical record for effective patient monitoring database. In: International conference on computer and communication engineering, vol 78, pp 894–899

    Google Scholar 

  23. Pradeep D, Sundar C (2020) QAOC: noval query analysis and ontology-based clustering for data management in Hadoop. 108:849–860

    Google Scholar 

  24. Laxmaiah A, Meshram II, Arlappa N, Balakrishna N, Rao KM, Ch Gal R, Ravindranath MK, Sharad KH, Brahmam GNV (2015) Socio-economic and demographic determinants of hypertension and knowledge, practices and risk behavior of tribals in India. Division of community studies, national institute of nutrition (ICMR), Hyderabad, India. Indian J Med Res 141:697–708

    Google Scholar 

  25. Logeswaran R, Aarthi P, Dineshkumar M, Lakshitha G, Vikram R (2019) Portable charger for handheld devices using radio frequency. Int J Innov Technol Explor Eng 8:837–839

    Google Scholar 

  26. Raj PH, Jelciana P, Kumar PR (2018) Exploring data security issues and solutions in cloud computing. Procedia Comput Sci 1(125):691–697

    Google Scholar 

  27. Gunasekar M, Thilagamani S (2020) Performance analysis of ensemble feature selection method under SVM and BMNB classifiers for sentiment analysis. Int J Sci Technol Res 9(2):1536–1540

    Google Scholar 

  28. Griffith C (2017) Mobile App Development with ionic, revised edition: cross-platform apps with ionic, angular, and Cordova, vol 74(118). O’Reilly Media, Inc., pp 782–788

    Google Scholar 

  29. Deepika S, Pandiaraja P (2013) Ensuring CIA triad for user data using collaborative filtering mechanism. In: 2013 international conference on information communication and embedded systems, pp 925–928

    Google Scholar 

  30. Poscia A, Azzolini E, Cacciatore P, de Belvis AG, Volpe M, Cambieri A, Damiani G, Ricciardi W, Specchia ML (2018) Does clinical governance influence the quality of medical records? Ann Ist Super Sanita 54(2):104–108

    Google Scholar 

  31. Rajesh Kanna P, Santhi P (2022) Hybrid intrusion detection using map reduce based black widow optimized convolutional long short-term memory neural networks. Exp Syst Appl 194

    Google Scholar 

  32. Khalifa M (2017) Perceived benefits of implementing and using hospital information systems and electronic medical records. Stud Health Technol Inform 238(16):5–8

    Google Scholar 

  33. Deepa K, Kokila M, Nandhini A, Pavethra A, Umadevi M (2020) Rainfall prediction using CNN. Int J Adv Sci Technol 29(7):1623–1627

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to B. Padmini Devi .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Padmini Devi, B., Hariharan, R., Harish, R., Maheswaran, J., Saravanakumar, N. (2023). Android Application on User Medical Reports. In: Ranganathan, G., Fernando, X., Rocha, Á. (eds) Inventive Communication and Computational Technologies. Lecture Notes in Networks and Systems, vol 383. Springer, Singapore. https://doi.org/10.1007/978-981-19-4960-9_34

Download citation

Publish with us

Policies and ethics

Navigation