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Data Mining Methods for Improving Health Outcomes

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Donald S.
Data Mining Methods for Improving Health Outcomes

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**UPDATE** The room is Caribou 241, on the second floor. It’s right near the entrance. In the elevator, floor 2 is still labeled Wex but it is us!

James Quinlan Ph.D., associate professor of mathematics and data science at the University of New England, will be presenting on the use of R for frequent dataset mining, with a focus on its applications in improving health outcomes.

Data mining involves discovering patterns and insights from large datasets, with the goal of using this information to make better decisions or predictions. Frequent dataset mining is a specific type of data mining that involves identifying frequent patterns or associations within a dataset.

This is a hybrid event!
Physical location:
Room: 106-Bangs UPDATED to The room is Caribou 241, on the second floor. It’s right near the entrance. In the elevator, floor 2 is still labeled Wex but it is us!

Roux Institute
100 Fore St,
Portland, ME 04101
Hybrid Event

For those Attending at the Roux:

Address Floor 1, 100 Fore Street, Portland, Maine, 04101

Pedestrian Access Via the front lobby on Freedom Way.

Bike racks are located around the building as well as within the P0 garage

Parking Onsite parking is available on P0, the lowermost level of the building. Entry to P0 is on the west side of the 100 Fore Street WEX building – off Fore street/just past the passenger drop off entrance to the Residence Inn. You will see a Roux Institute sign at the entrance to the driveway. Enter through the gates using a credit/debit card or phone number to create at ‘electronic ticket’. The covered garage’s public parking rate is $5/hr. Electric vehicle chargers are available in the garage via ChargePoint stations – the first 6 hours of charging are at a rate of 1/hrandaftertheratebeyond6hoursis15/hr. Street parking is also available surrounding campus at different rates.

Wi-Fi Northeastern visitors can connect to NUwave and use their NU account credentials. Guests can connect to our guest Wi-Fi: NUwave-guest. Selecting this network will prompt a browser to open within which you can register for a 12-hour temporary account using your email and cell phone number. Once registered, log in to the network using your email as username and the password texted to your cell phone. If you need help setting up your guest Wi-Fi, visit the front desk for assistance.

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