PPT-A Machine Learning Framework for Predicting Frequent Emergency Department Users

Author : briana-ranney | Published Date : 2018-03-12

Using Claims Data Summer Xia Hu Margret Bjarnadottir Sean Barnes Bruce Golden University of Maryland College Park 1 POMS Conference May 06 2016 O rlando Florida

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "A Machine Learning Framework for Predict..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

A Machine Learning Framework for Predicting Frequent Emergency Department Users: Transcript

Using Claims Data Summer Xia Hu Margret Bjarnadottir Sean Barnes Bruce Golden University of Maryland College Park 1 POMS Conference May 06 2016 O rlando Florida Background Frequent Emergency . Presented by . Yaron. . Gonen. Outline. Introduction. Problems definition and motivation. Previous work. The CAMLS Algorithm. Overview. Main contributions. Results. Future Work. Frequent Item-sets:. in Data Streams . at Multiple Time Granularities. CS525 Paper Presentation. Presented by:. Pei Zhang, . Jiahua. Liu, . Pengfei. . Geng. and . Salah. Ahmed. Authors: Chris . Giannella. , . Jiawei. # 3 in a 6 part series related to Geriatric Care and Emergency Medicine. Wasn’t she here last week?. Frequent Flyers and other Vexing Tales of the Emergency Department. Optimizing Transitions from the Emergency Department: Transitions/Frequent flyers – Part 1. . & Association Rules. Information Retrieval & Data Mining. Universität des Saarlandes, Saarbrücken. Winter Semester 2011/12. Chapter VII: . Frequent . Itemsets. & Association Rules. VII.1 Definitions. Jim Welch, RMN.. Mental Health Liaison Manager, 2gether.. Background:. There is little guidance on the management of this patient group and little published. . “The College of Emergency Medicine, Best Practice Guideline” (2014) Literature tells us that . Market Basket. Many-to-many relationship between different objects. The relationship is between items and baskets (transactions). Each basket contains some items (itemset) that is typically less than the total amount of items. . & Association Rules. Information Retrieval & Data Mining. Universität des Saarlandes, Saarbrücken. Winter Semester 2011/12. Chapter VII: . Frequent . Itemsets. & Association Rules. VII.1 Definitions. ASSOCIATION RULES,. APRIORI ALGORITHM,. OTHER ALGORITHMS. Market Basket Analysis and Association Rules. Market Basket Analysis studies characteristics or attributes that “go together”. Seeks to uncover associations between 2 or more attributes.. Association Rules. A-Priori Algorithm. Other Algorithms. Jeffrey D. Ullman. Stanford University. 2. The Market-Basket Model. A large set of . items. , e.g., things sold in a supermarket.. A large set of . Market Basket, Frequent Itemsets , Association Rules, Apriori , Other Algorithms Market Basket Analysis What is Market Basket Analysis? Market Basket Analysis Many-to-many relationship between different objects Frequent Itemset Mining & Association Rules Mining of Massive Datasets Jure Leskovec, Anand Rajaraman , Jeff Ullman Stanford University http://www.mmds.org Note to other teachers and users of these What?. Modelling technique which is traditionally used by retailers, to understand customer behaviour. It works by looking for combinations of items that occur together frequently in transactions.. Advantages. Insert role and name. What are High Impact Users (HIUs)?. Patients whose use of the Emergency Department has a high impact, either due to:. Having a high incidence of attendance (5 or more attendances per year*). Association Rules, . Apriori. . and. Other Algorithms. Market Basket Analysis. Using the market basket analysis you can easily discover what is missing in the basket of every single customer. Then you offer the right product..

Download Document

Here is the link to download the presentation.
"A Machine Learning Framework for Predicting Frequent Emergency Department Users"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.