Wednesday September 21, 12:00 – 2:00 pm
Machine Learning and Artificial Intelligence applied to a Pharmaceutical Marketing Problem
Machine Learning and Artificial Intelligence have increasingly been used as innovative ways to extract meaningful value from data. This presentation will describe how those techniques were applied to generate a set of business rules and a predictive model for a pharma company to increase their physician client base’s propensity to prescribe their drug to their patients as opposed to the competition’s drug(s). The result is a personalized recommendation for each physician, with accompanying auditable rules to audit results and validate success.
Wednesday June 15 , 2016
The New York City Police Department's Domain Awareness System
Finalist Presentation in the INFORMS 2016 Franz Edelman Award CompetitionThe New York City Police Department (NYPD), the largest state or local police force in the United States, is charged with securing New York City from crime and terrorism. The NYPD's Domain Awareness System (DAS) is a citywide network of sensors, databases, devices, software, and infrastructure that informs decision making by delivering analytics and tailored information to officers' smartphones and precinct desktops. DAS development began in earnest in 2008; since then, the NYPD has used the system to employ a unique combination of analytics and information technology, including pattern recognition, machine learning, and data visualization.
Wednesday May 18, 2016
Random Forest versus Logistic Regression
Different methods generate different variable selection results, reflecting the needs for a comprehensive literature review. These different methods include correlation with dependent variable, p-value, information value, as well as variable importance, and their validities under different conditions.
Wednesday October 26, 12:00 – 2:00 pm
Director, Center for Healthcare Analytics, Iona College, Hagan School of Business
Business Intelligence and Predictive Analytics in the Healthcare Environment
The healthcare industry is fortunate to have extraordinary database resources, originally intended for social planning purposes, which can now be deployed for Business Intelligence and Population Health purposes. However the complexity and quality of these data repositories must be thoroughly understood and effectively managed to garner the information and intelligence so desperately needed by the evolving regulatory, economic and competitive environment. While privacy and confidentiality issues abound in this data environment (HIPAA), the opportunity to understand Community Based Needs and the trends towards a new economic model require all of the expertise of the Data Science field. The infrastructure and quality of massive repositories of structured and unstructured data continue to explode along with the constant evolution of the classifications and codes employed. The capacity to mine the data is equally as dynamic as the tools to evaluate trends and seasonal patterns. Additionally the expertise is evolving to provide longitudinal linkages to understand the progression of conditions and diseases as a part of clinical decision support and the understanding of 'Risk'. We will explore these issues in the context of an industry in fundamental transformation.
For reservation assistance write to our gmail address or call John Waldes (212) 362-0302
INFORMS NY Metro is actively seeking speakers and topics. If you have a data analytic or business oriented topic please contact Jack Theurer or Leon Schwartz.
INFORMS NY is the New York City Chapter of the Institute for Operations Research and Management Science.