Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Explainable Machine Learning, Model Transparency, and the Right to Explanation
 Check out this topical video from Predictive Analytics World...
Guidebook to the Future of Data Science: How to Navigate the Increasingly Symbiotic Dynamic Between Executives and Universities
 Book Review of Closing the Analytics Talent Gap: An...
Guilty or Not Guilty: Weight of Evidence
 You have been invited to serve as a juror...
How Machine Learning Works for Social Good
  Originally published in KDnuggets, Nov 2020. This article...
SHARE THIS:
  • Dec 12, 2014
  • Comments Off on Video: Developing a Mortality Prediction Model for Disseminated Intravascular Coagulation (DIC)
  • PAW Conference Videos
  • 4059 Views

6 years ago
Video: Developing a Mortality Prediction Model for Disseminated Intravascular Coagulation (DIC)

 

This speaker session is from Predictive Analytics World for Healthcare, October, 5–9, 2014 in Boston, MA:

This content is restricted to site members. If you are an existing user, please log in on the right (desktop) or below (mobile). If not, register today and gain free access to original content and industry news. See the details here.

Comments are closed.

 Linda A. Winters-Miner, PhD, has been an educator for over 30 years, in teacher education and statistics & research design. She spent nearly two years as a site coordinator for a major (Coxnex) drug trial. For 23 years Miner directed academic programs, with an adjunct faculty comprising over 50 instructors, for Southern Nazarene University- Tulsa. During the past 12 years she has designed and been author of many of the tutorials in two predictive analytic books published in 2009 and 2012. At present, she teaches undergraduate statistics & research, teaches online for University of California-Irvine and is lead

This content is restricted to site members. If you are an existing user, please log in on the right (desktop) or below (mobile). If not, register today and gain free access to original content and industry news. See the details here.