Outcome Prediction after Radiotherapy with Medical Big Data.
Igaku Butsuri
; 36(1): 39-41, 2016.
Article
in Ja
| MEDLINE
| ID: mdl-28428496
Data science is becoming more important in many fields. In medical physics field, we are facing huge data every day. Treatment outcomes after radiation therapy are determined by complex interactions between clinical, biological, and dosimetrical factors. A key concept of recent radiation oncology research is to predict the outcome based on medical big data for personalized medicine. Here, some reports, which are analyzing medical databases with machine learning techniques, were reviewed and feasibility of outcome prediction after radiation therapy was discussed. In addition, some strategies for saving manual labors to analyze huge data in medical physics were discussed.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Radiotherapy
Type of study:
Guideline
/
Prognostic_studies
/
Risk_factors_studies
Limits:
Humans
Language:
Ja
Journal:
Igaku Butsuri
Journal subject:
BIOFISICA
Year:
2016
Type:
Article