Minority report : can we predict emergencies / Data Science Salon.

Format:

Video

Contributor:

Zelenetz, Michael, on-screen presenter.

Data Science Salon, publisher.

Language:

English

Subjects (All):

Medical care--Forecasting.

Medical care.

Time-series analysis--Mathematical models.

Time-series analysis.

Emergency medical services.

Physical Description:

1 online resource (1 streaming video file (24 min., 14 sec.)) : digital, sound, color

Other Title:

Can we predict emergencies

Place of Publication:

[Austin, Texas] : Data Science Salon, 2020.

Summary:

"Forecasting is widely used in a number of business, but can it be used to optimize operations in an emergency department? This talk will walk through the development of a forecasting model to predict future arrivals to the emergency department. We will review the fundamentals of forecasting, discuss feature engineering, and how to get your first forecast off the ground."--Resource description page.

Participant:

Presenter, Michael Zelenetz.

Notes:

Title from resource description page (Safari, viewed November 3, 2020).

Place of publication from title screen.

OCLC:

1203113514