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PARSIGHT for Cancer Analytics
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PARSIGHT for Cancer Analytics
Background
- LARGE DATA
- Developed countries use data to assist in diagnostics, prescription and therapy
- Developing countries - data / images shelved / destroyed after one time use. Out of sight, out of mind
- IARC - estimated 14.1M Cancer Cases - 2012
- International ongoing projects - Cancer Genome Project; Cancer Genome Atlas creating huge data by analyzing patients.
- Developed countries (82% world pop) 8M cancer cases
- By 2030 - growth and aging - 21.7M new cancer cases 13 million cancer deaths
- Numbers may also rise changing lifestyles and environmental factors like poor diet, fewer pregnancies, physical inactivity and poor diet
- COLLATION - ACCESS
- Annonymising - Institution, Doctor, Patient data
- Parsing (Analysis) and Storing
- Annonymising - Institution, Doctor, Patient data
- EXPERTISE
- Isolated / Inaccesible
- Replication required
- LARGE DATA
THE SOLUTION - The 'Google' for Cancer!
- FEATURES / BENEFITS
- Search for conditions of interest
- Data can be used for education (CMEs, LMS, Research and Treatment
- Communities of Practice
- Opinion aggregation
- Small Treatment facility - Perform better
- Medium to Large facility - Knowledgeable treatment with better treatment planning
- Compare data
- Data Information System - Efficiently and Accurately using data
- Machine Learning Algorithms to handle Big Data
- Parsing (analysing) and Storing data
- FEATURES / BENEFITS
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- Description
- Mind Map on PARSIGHT for Cancer Analytics, created by vinod.vetri.iyer on 12/02/2016.
- Created by
- vinod.vetri.iyer
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