Open Access. Powered by Scholars. Published by Universities.®
- Keyword
Articles 1 - 2 of 2
Full-Text Articles in Public Health
Self-Talk: Mentoring And Empowering Faculty To Contribute To Organizational Change, Brian Culp
Self-Talk: Mentoring And Empowering Faculty To Contribute To Organizational Change, Brian Culp
Faculty and Research Publications
We can effectively mentor if in possession of qualities to empower mentees, which include: effective communication skills, knowledge of the professional realm, enthusiasm, passion and the ability to create an equitable and supportive organizational environment with the mentee. The authors of this article propose that self-talk (ST) or inner speech is a helpful means of inspiring mentors, colleagues, teachers, and friends in navigating communication challenges with themselves and others. A three-step approach to implementing ST for the purpose of mentoring involves: (1) awareness of the ST they are currently using; (2) follow-up with the mentee’s active reflection of and recording …
Causal Discovery In Radiographic Markers Of Knee Osteoarthritis And Prediction For Knee Osteoarthritis Severity With Attention-Long Short-Term Memory., Yanfei Wang, Lei You, Jacqueline Chyr, Lan Lan, Weiling Zhao, Yujia Zhou, Hua Xu, Philip Noble, Xiaobo Zhou
Causal Discovery In Radiographic Markers Of Knee Osteoarthritis And Prediction For Knee Osteoarthritis Severity With Attention-Long Short-Term Memory., Yanfei Wang, Lei You, Jacqueline Chyr, Lan Lan, Weiling Zhao, Yujia Zhou, Hua Xu, Philip Noble, Xiaobo Zhou
Journal Articles
The goal of this study is to build a prognostic model to predict the severity of radiographic knee osteoarthritis (KOA) and to identify long-term disease progression risk factors for early intervention and treatment. We designed a long short-term memory (LSTM) model with an attention mechanism to predict Kellgren/Lawrence (KL) grade for knee osteoarthritis patients. The attention scores reveal a time-associated impact of different variables on KL grades. We also employed a fast causal inference (FCI) algorithm to estimate the causal relation of key variables, which will aid in clinical interpretability. Based on the clinical information of current visits, we accurately …