Details

Developing a Smart Integrated System for the Effective Prediction and Diagnosis of Varicose Disease and their Treatment

Sakshi Loura

Bharti International School, Rewari

53-59

Vol: 10, Issue: 4, 2020

Receiving Date: 2020-09-04 Acceptance Date:

2020-10-23

Publication Date:

2020-11-14

Download PDF

http://doi.org/10.37648/ijrst.v10i04.008

Abstract

The vein that transfers the deoxygenated blood gets knob and thick because of a valve twist, which becomes varicose veins. These are most normal in the legs. These varicose veins are brought about by harmed or feeble valves of veins that veneer to the variety of blood in the vein, which expands the tension and causes nightmares. A large portion of the varicose vein treatment is by obtrusive techniques like a medical procedure, laser treatment, RF endogenous treatment and sclerotherapy. In any medical procedure, the significant primary perspective is the addition of an intravenous (IV) catheter. The serious issue looked at by the doctors is dangers in getting to veins for IV medication or taking blood for tests, if kids, grown-ups, basic consideration patients and so on. It is a truly challenging chore. Pointless penetrating of veins happens because of unfortunate perceivability. Wrong penetrating may prompt issues like imperfections or super durable harm to the vein. To tackle these issues, there is a requirement for a vein divulgence system. We propose a sensor that involves wearable socks-based painless diagnostic & helpful answers for varicose veins using warm and vibration treatment. Since it is a harmless technique, it gives modern patient help from their aggravation without torment with IoT-based indicative and refreshing structures.

Keywords: Varicose Disease; Smart Integrated System; IOT

References

  1. Abu Rajab, M., Zarfoss, J., Monrose, F., and Terzis, A., (2006) “A multi- faceted approach to understanding the botnet phenomenon,” in Proceedings of the 6th ACM SIGCOMM conference on Internet measurement, IMC ’06.
  2. Abu Rajab, M., Zarfoss, J., Monrose, F., and Terzis, A., (2006) “A multi- faceted approach to understanding the botnet phenomenon,” in Proceedings of the 6th ACM SIGCOMM conference on Internet measurement, IMC ’06.
  3. Aha, D.W., Kibler, D., and Albert, M. K., (1991) “Instance-based learning algorithms,” Machine Learning, vol. 6, pp. 37–66.
  4. Alexa, (2007) “The proposed system information company.” http://www.alexa.com/.
  5. Anton kakis, M., Perdisci, R., Nadji, Y., Vasiloglou, N., Abu- Nimeh, S., Lee, W., and Dagon, D., (2012) “From Throw-Away Traffic to Bots: Detecting the Rise of DGA-Based Malware,” in the Proceedings of 21th USENIX Security Symposium (USENIX Security ’12).
  6. Bilge, L., Kirda, E., Kruegel, C., and Balduzzi, M., (2011) “Exposure: Finding malicious domains using passive dns analysis,” in Proceedings of NDSS.
  7. Breiman, L., (1996) “Bagging predictors,” Machine learning, vol. 24, no. 2, pp. 123–140.
  8. Butler.P, K. Xu, and D. Yao, Proc. (2011) Ninth Int’l Conf. “QUANTITATIVELY ANALYZING STEALTHY COMMUNICATION CHANNELS” Applied cryptography and Network Security (ACNS ’11), pp. 238-254.
  9. Caballero, J., Grier, C., Kreibich, C., and Paxson, V., (2011) “Measuring pay-per-install: The commoditization of malware distribution,” in USENIX Security Symposium.
  10. Cova, M., Leita, C., Thonnard, O., Keromytis, A. D., and Dacier, M., (2010) “An analysis of rogue av campaigns,” in RAID, pp. 442–463.
  11. Dagon, D., Gu, G., and Lee, C. P., (2008) “A taxonomy of botnet structures,” in Botnet Detection, pp. 143–164.
Back

Disclaimer: Indexing of published papers is subject to the evaluation and acceptance criteria of the respective indexing agencies. While we strive to maintain high academic and editorial standards, International Journal of Research in Science and Technology does not guarantee the indexing of any published paper. Acceptance and inclusion in indexing databases are determined by the quality, originality, and relevance of the paper, and are at the sole discretion of the indexing bodies.

We are one of the best in the field of watches and we take care of the needs of our customers and produce replica watches of very good quality as per their demands.