PREDICTIVE ANALYTICS FOR BREAST CANCER SUSCEPTIBILITY AND PROGNOSIS
A good healthcare system is important to progression or growth of a country. Healthcare has proven to be a large influencing factor towards the economy of a country. Only if the citizen of a country is healthy then a certain productivity rate can be achieved. This is because there will be less...
| Main Author: | Ravindran, Krishna Prasaad |
|---|---|
| Format: | Final Year Project |
| Language: | English |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-utpedia.20907 / |
| Published: |
IRC
2019
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| Subjects: | |
| Online Access: |
http://utpedia.utp.edu.my/20907/1/KRISHNA%20PRASAAD_15523.pdf http://utpedia.utp.edu.my/20907/ |
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utp-utpedia.209072021-09-09T19:59:18Z http://utpedia.utp.edu.my/20907/ PREDICTIVE ANALYTICS FOR BREAST CANCER SUSCEPTIBILITY AND PROGNOSIS Ravindran, Krishna Prasaad Q Science (General) A good healthcare system is important to progression or growth of a country. Healthcare has proven to be a large influencing factor towards the economy of a country. Only if the citizen of a country is healthy then a certain productivity rate can be achieved. This is because there will be less financial burden and much reliable workforce. In today’s modern world with technological advancement, healthcare industry has essentially become one of the most important sectors in most developing countries. Management system in healthcare industry also need to adapt with the technology that are available in the market. Many healthcare sectors are still lagging in terms of merging the use of technology into improving their services. What if there is a way to predict the future outcome in terms of illness risk that is most likely to occur. It would make life easier for caregivers to prepare upfront to provide the best service to the health patients. Ergo, the development of a prediction model using machine learning is made to classify and predict the breast cancer susceptibility to provide better prognosis and determine the risk based on the tumor condition. IRC 2019-09 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/20907/1/KRISHNA%20PRASAAD_15523.pdf Ravindran, Krishna Prasaad (2019) PREDICTIVE ANALYTICS FOR BREAST CANCER SUSCEPTIBILITY AND PROGNOSIS. IRC, Universiti Teknologi PETRONAS. (Submitted) |
| institution |
Universiti Teknologi Petronas |
| collection |
UTPedia |
| language |
English |
| topic |
Q Science (General) |
| spellingShingle |
Q Science (General) Ravindran, Krishna Prasaad PREDICTIVE ANALYTICS FOR BREAST CANCER SUSCEPTIBILITY AND PROGNOSIS |
| description |
A good healthcare system is important to progression or growth of a country.
Healthcare has proven to be a large influencing factor towards the economy of a
country. Only if the citizen of a country is healthy then a certain productivity rate can
be achieved. This is because there will be less financial burden and much reliable
workforce. In today’s modern world with technological advancement, healthcare
industry has essentially become one of the most important sectors in most developing
countries. Management system in healthcare industry also need to adapt with the
technology that are available in the market. Many healthcare sectors are still lagging
in terms of merging the use of technology into improving their services. What if there
is a way to predict the future outcome in terms of illness risk that is most likely to
occur. It would make life easier for caregivers to prepare upfront to provide the best
service to the health patients. Ergo, the development of a prediction model using
machine learning is made to classify and predict the breast cancer susceptibility to
provide better prognosis and determine the risk based on the tumor condition. |
| format |
Final Year Project |
| author |
Ravindran, Krishna Prasaad |
| author_sort |
Ravindran, Krishna Prasaad |
| title |
PREDICTIVE ANALYTICS FOR BREAST CANCER
SUSCEPTIBILITY AND PROGNOSIS |
| title_short |
PREDICTIVE ANALYTICS FOR BREAST CANCER
SUSCEPTIBILITY AND PROGNOSIS |
| title_full |
PREDICTIVE ANALYTICS FOR BREAST CANCER
SUSCEPTIBILITY AND PROGNOSIS |
| title_fullStr |
PREDICTIVE ANALYTICS FOR BREAST CANCER
SUSCEPTIBILITY AND PROGNOSIS |
| title_full_unstemmed |
PREDICTIVE ANALYTICS FOR BREAST CANCER
SUSCEPTIBILITY AND PROGNOSIS |
| title_sort |
predictive analytics for breast cancer
susceptibility and prognosis |
| publisher |
IRC |
| publishDate |
2019 |
| url |
http://utpedia.utp.edu.my/20907/1/KRISHNA%20PRASAAD_15523.pdf http://utpedia.utp.edu.my/20907/ |
| _version_ |
1741195680561496064 |
| score |
11.62408 |