Texas State University SHLC Presentation Shaun Comfort, MD, MBA Associate Director of Risk Management Genentech, A Member of the Roche Group This presentation represents the opinions of Dr. Comfort, and not that of Genentech, A Member of the Roche Group.
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Texas State University SHLC Presentation
Shaun Comfort, MD, MBA Associate Director of Risk Management
Genentech, A Member of the Roche Group
This presentation represents the opinions of Dr. Comfort, and not that of Genentech, A Member of the Roche Group.
Common Buzzwords
2
• Artificial Intelligence (AI) The theory and development of computer systems able to perform tasks that normally require human intelligence such as vision, speech recognition, decision-making, and translation. (Source: Google Search)
• Machine Learning (ML) - Machine learning is a type of (AI) that provides
computers with the ability to learn without being explicitly programmed. (Source: WhatIs.com).
IV Catheter Insertion Example Mann 2014, identified predictive variables for successful
intravenous catheter (IV) insertion, based on data from 592 children in two hospitals.
The dataset provided with JMP-SAS Software, used for this exercise.
Goal:
Predict - Prob(success) of starting IV on first try using 17 features (17)): Mean Difficulty, Mean Nurse Experience, Active Minutes, Nurse Competency Scores, etc
Technique – Random Forest using Bootstrap Aggregation, 416/176 Training/Validation cases, Trees/Forest = 6, Terms/Split = 4
Source: J. Mann, P. Larsen, and J. Brinkley, "Exploring the use of negative binomial regression modeling for pediatric peripheral
intravenous catheterization", Journal of Medical Statistics and Informatics, Vol. 2, Article 6, 2014
Catheter Insertion Example, cont. One of the Decision Tree’s from the Forest
Model Performance Results Key Results are as follows: