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Regression Technique to Predict Stages of Basal Cell Carcinoma

Sanjana M1 , V. Hanuman Kumar2

Section:Survey Paper, Product Type: Journal Paper
Volume-7 , Issue-4 , Page no. 1006-1010, Apr-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i4.10061010

Online published on Apr 30, 2019

Copyright © Sanjana M, V. Hanuman Kumar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Sanjana M, V. Hanuman Kumar, “Regression Technique to Predict Stages of Basal Cell Carcinoma,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.1006-1010, 2019.

MLA Style Citation: Sanjana M, V. Hanuman Kumar "Regression Technique to Predict Stages of Basal Cell Carcinoma." International Journal of Computer Sciences and Engineering 7.4 (2019): 1006-1010.

APA Style Citation: Sanjana M, V. Hanuman Kumar, (2019). Regression Technique to Predict Stages of Basal Cell Carcinoma. International Journal of Computer Sciences and Engineering, 7(4), 1006-1010.

BibTex Style Citation:
@article{M_2019,
author = {Sanjana M, V. Hanuman Kumar},
title = {Regression Technique to Predict Stages of Basal Cell Carcinoma},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2019},
volume = {7},
Issue = {4},
month = {4},
year = {2019},
issn = {2347-2693},
pages = {1006-1010},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4157},
doi = {https://doi.org/10.26438/ijcse/v7i4.10061010}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i4.10061010}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4157
TI - Regression Technique to Predict Stages of Basal Cell Carcinoma
T2 - International Journal of Computer Sciences and Engineering
AU - Sanjana M, V. Hanuman Kumar
PY - 2019
DA - 2019/04/30
PB - IJCSE, Indore, INDIA
SP - 1006-1010
IS - 4
VL - 7
SN - 2347-2693
ER -

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Abstract

With the advent of Artificial Intelligence and Machine learning, healthcare is not limited to mere scans and tests, but also caters to doctors helping them diagnose the medical disorder at hand. One such field of healthcare is diagnosis of skin cancer which is also called as Basal cell carcinoma. This is often caused due to deficiency of a skin pigment called melanin, which may deplete due to harsh environmental conditions. This paper concentrates on a machine learning algorithm to detect skin cancer. The accuracy is found to be 90%.

Key-Words / Index Term

Skin cancer, melanoma, melanin, benign, machine learning

References

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