Journal article

Robotic-assisted vs. open radical prostatectomy: A machine learning framework for intelligent analysis of patient-reported outcomes from online cancer support groups

Weranja Ranasinghe, Daswin de Silva, Tharindu Bandaragoda, Achini Adikari, Damminda Alahakoon, Raj Persad, Nathan Lawrentschuk, Damien Bolton

UROLOGIC ONCOLOGY-SEMINARS AND ORIGINAL INVESTIGATIONS | ELSEVIER SCIENCE INC | Published : 2018

Abstract

BACKGROUND: The advantages of Robot-assisted laparoscopic prostatectomy (RARP) over open radical prostatectomy (ORP) in Prostate cancer perioperatively are well-established, but quality of life is more contentious. Increasingly, patients are utilising online cancer support groups (OCSG) to express themselves. Currently there is no method of analysis of these sophisticated data sources. We have used the PRIME-2 (Patient Reported Information Multidimensional Exploration version 2) framework for automated identification and intelligent analysis of decision-making, functional and emotional outcomes in men undergoing ORP vs. RARP from OCSG discussions. METHODS: The PRIME-2 framework was developed..

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