- Title Information
- Title
- Using Machine Learning to Predict Survival Following Prostatectomy
- Abstract
- Tissue biopsy and the Gleason scale remain the standard care to predict the aggressiveness of prostate cancer. Recent studies have shown that other clinical factors including comorbidities and genes may play significant roles in determining overall survival. 1 Existing nomograms including Memorial Sloan Kettering Cancer Center’s (MSKCC) prostate cancer nomograms do not incorporate comorbidities when predicting survival. Leveraging machine learning, this study aimed to use comorbidities to predict survival for prostate cancer patients following radical prostatectomy.
- Name
- Name Part
- Kim Jr., Isaac
- Role
- Role Term (marcrelator)
(authorityURI="http://id.loc.gov/vocabulary/relators", valueURI="http://id.loc.gov/vocabulary/relators/aut")
- Author
- Name
- Name Part
- Jung, Eric
- Role
- Role Term (marcrelator)
(authorityURI="http://id.loc.gov/vocabulary/relators", valueURI="http://id.loc.gov/vocabulary/relators/aut")
- Author
- Name
- Name Part
- Pareek, Gyan
- Role
- Role Term (marcrelator)
(authorityURI="http://id.loc.gov/vocabulary/relators", valueURI="http://id.loc.gov/vocabulary/relators/aut")
- Author
- Name
- Name Part
- Aluthge, Dilum
- Role
- Role Term (marcrelator)
(authorityURI="http://id.loc.gov/vocabulary/relators", valueURI="http://id.loc.gov/vocabulary/relators/aut")
- Author
- Name
- Name Part
- Chen, Elizabeth
- Role
- Role Term (marcrelator)
(authorityURI="http://id.loc.gov/vocabulary/relators", valueURI="http://id.loc.gov/vocabulary/relators/aut")
- Author
- Name
- Name Part
- Sarkar, Indra Neil
- Role
- Role Term (marcrelator)
(authorityURI="http://id.loc.gov/vocabulary/relators", valueURI="http://id.loc.gov/vocabulary/relators/aut")
- Author
- Name:
Corporate
- Name Part
- Brown University. Alpert Medical School. Scholarly Concentration Program. Biomedical Informatics
- Role
- Role Term:
Text
- research program
- Subject (fast)
(authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/01004795")
- Topic
- Machine learning
- Subject (fast)
(authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/01079479")
- Topic
- Prostate--Cancer
- Subject (fast)
(authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/01079513")
- Topic
- Prostatectomy
- Language
- Language Term:
Text (ISO639-2B)
- English
- Origin Information
- Date Created
(keyDate="yes", encoding="w3cdtf")
- 2019
- Note
(displayLabel="Scholarly concentration")
- Biomedical Informatics
- Access Condition:
use and reproduction
(href="")
- All rights reserved
- Access Condition:
logo
(href="")
- Type of Resource
- text