Female Self Hormone Analyzer using Decision Tree and Electronic Sensor
DOI:
https://doi.org/10.26438/ijcse/v6si3.189192Keywords:
Fuzzy logic, MATLAB, Seriousness, Decision supporting system, Tumor, Node, Metastasis, EstrogenAbstract
Breast cancer and infertility are the universal problem, the recorded data from hospitals can be used to develop a decision tree to analyze the risk of breast cancer. Estrogens, Progesterone, FSH and LH are natural hormones that are important in sexual development and other body functions. Circumstances that raise your lifetime estrogen levels or lengthen the amount of time your body gets exposed to these hormones may increase your breast cancer risk. FSH and LH levels, on the other hand, seem to exert dual actions in premenopausal and postmenopausal breast cancer patients. An electronic sensor can detect low levels of estrogen (E2), the primary estrogen hormones, FSH and LH in liquids (BLOOD). The electronic sensor attached to the device senses the presence of these hormones and further tests these hormone levels in bodily fluids using decision tree concept in machine learning. This system senses the amount of these hormones secreted in the women’s body fluid (BLOOD) using electronic sensor connected to the kit. Using decision tree it tests the range of secretion of hormones based on age. When the level of secretion of these hormones is abnormal (less or higher than normal range) it alerts the individual for early diagnosis by sending SMS to their registered mobile number.
References
Rawaa Abdulridha Kadhim, “Classification and prediction of breast cancer risk factors using ID3” , The International Journal of Engineering and Science(IJES), Volume 5, Issue 11, ISSN:2319-1813, 2016.
L.Surya Prashanthi, R.Kiran Kumar, “ID3 and its application in generation of decision trees across various domains-survey”, International Journal of Computer Science and Information Technologies, Volume 6, ISSN: 0975-9646, 2015.
Ronak Sumbaly, N.Vishnusri, S.Jeyalatha, “Diagnosis of breast cancer using decision tree data mining technique”, International Journal of Computer Applications, Volume 90, ISSN: 0975-8887, 2014.
Norbaya Engku Muda, Mohd. Azman Abu Bakar, Burhanudin Yeop Majlis, “The Use of Electronic Sensor in Hormone Analysis”, International Journal of Computer Science and Information Technologies, 2015.
K.Rajesh, Dr.Shiela Anand, “Analysis of SEER dataset for breast cancer diagnosis using C4.5 classification algorithm”, International Journal of Advanced Research in Computer and Communication Engineering, Volume 1, Issue 2, ISSN: 2278-1021, 2012.
D.Lavanya, Dr.K.Usha Rani, “Analysis of feature selection with classification of breast cancer datasets”, Indian Journal of Computer Science and Engineering, Volume 2, Issue 5, ISSN: 0976-5166, 2011.
A.Sheeba Christina, “Serum hormonal profile and its clinical utility in breast cancer patients among tamil women”, Journal of advanced Scientific Research, Volume 4, Issue 3, ISSN: 0976-9595, 2013.
Jaimini Majali, Rishikesh Niranjan, Vinamra Phatak, Omkar Tadakhe, “Data Mining Techniques for Diagnosis and Prognosis of Cancer”, International Journal of Advanced Research in Computer and Communication Engineering, Volume 4, Issue 3, ISSN: 2278-1021, 2012.
A.Subasini, Nirase Fathima Abubacker, Dr.Rekha, “Analysis of classifier to improve medical diagnosis of breast cancer detection using data mining techniques”, International Journal of Advanced in Networking and Applications, Volume 5, Issue 6, ISSN: 0975-0290, 2014.
Alaa M. Elsayad, H.A.Elsalamony, “Diagnosis of breast cancer using decision tree models and SVM”, International Journal of Computer Applications, Volume 83, Issue 5, ISSN: 0975-8887, 2013.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.
