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Papers of the Week


Papers: 13 Jun 2020 - 19 Jun 2020


Human Studies


2020 Jun 13


Int J Med Inform


141

Identifying predictive factors for neuropathic pain after breast cancer surgery using machine learning.

Authors

Juwara L, Arora N, Gornitsky M, Saha-Chaudhuri P, Velly AM
Int J Med Inform. 2020 Jun 13; 141:104170.
PMID: 32544823.

Abstract

Neuropathic pain (NP) remains a major debilitating condition affecting more than 26% of breast cancer survivors worldwide. NP is diagnosed using a validated 10-items Douleur Neuropathique – 4 screening questionnaire which is administered 3 months after surgery and requires patient-doctor interaction. To develop an effective prognosis model admissible soon after surgery, without the need for patient-doctor interaction, we sought to [1] identify specific pain characteristics that can help determine which patients may be susceptible to NP after BC surgery, and 2) assess the utility of machine learning models developed in objective [1] as a knowledge discovery tool for downstream analysis.