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Novel Algorithm for Detection and Analysis of Irremediable diseases—Progeria

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Smart Systems: Innovations in Computing

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 235))

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Abstract

In this Paper, a novel algorithm is designed to detect Hutchinson-Gilford Progeria. We aim to test five symptoms in a set of people by devising an algorithm to detect whether the person has Progeria or not. The symptoms included are bone density, hair growth patterns, teeth, skin texture (wrinkles) and voice patterns. Then, in order to test the efficiency of our algorithm, we developed applications for comparison of two images. On an average, when the similarity was around 80%, it showed that Progeria is not present whereas when the similarity average was around 30%, it showed that Progeria is present.

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Authors and Affiliations

  1. Amity University, Amity Road, Sector 125, Noida, 201301, Uttar Pradesh, India

    Sumit Bhardwaj & Nehal Sharma

Authors
  1. Sumit Bhardwaj
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  2. Nehal Sharma
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Correspondence to Sumit Bhardwaj .

Editor information

Editors and Affiliations

  1. Iowa State University, Ames, IA, USA

    Arun K. Somani

  2. Manipal University Jaipur, Jaipur, Rajasthan, India

    Ankit Mundra

  3. Strategic Research Centre—Centre for Cyber Security Research and Innovation (CSRI), Deakin University, Burwood, VIC, Australia

    Robin Doss

  4. Accenture Innovations, New Delhi, Delhi, India

    Subhajit Bhattacharya

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Bhardwaj, S., Sharma, N. (2022). Novel Algorithm for Detection and Analysis of Irremediable diseases—Progeria. In: Somani, A.K., Mundra, A., Doss, R., Bhattacharya, S. (eds) Smart Systems: Innovations in Computing. Smart Innovation, Systems and Technologies, vol 235. Springer, Singapore. https://doi.org/10.1007/978-981-16-2877-1_10

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