Machine Learning Algorithms for Predicting Urinary Tract Infections: Integration of Demographic Data and Dipstick Reflectance
Tracking # 20-1339619
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Learn moreCourse overview
This webinar will present how machine learning algorithms can assist clinicians in diagnosing UTIs using instruments already available in the laboratory. It will also introduce a framework for applying machine learning to other clinical applications.
Subject areas
This course counts toward the state boards and subject areas below.
American Board of Clinical Chemistry
Clinical Chemistry Diplomate
Molecular Diagnostics Diplomate
Toxicological Chemistry Diplomate
Florida Board of Clinical Laboratory Personnel
Clinical Laboratory Director
Clinical Laboratory Supervisor
Clinical Laboratory Technician
Clinical Laboratory Technologist
Public Health Director
Public Health Supervisor
Public Health Technologist
Disclosure statements
The Association for Diagnostics & Laboratory Medicine (formerly AACC) is dedicated to ensuring balance, independence, objectivity, and scientific rigor in all educational activities. All participating planning committee members and faculty are required to disclose to the program audience any financial relationships related to the subject matter of this program. Disclosure information is reviewed in advance in order to manage and resolve any possible conflicts of interest. The intent of this disclosure is to provide participants with information on which they can make their own judgments.
The following faculty reported no financial relationships:
- Eric Kilpatrick, MD, FRCPath, FRCPEd
- Julien Favresse, PhD, PharmD, EuSpLM