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Time Series

What is 'TIME SERIES'?

A sequence of numerical data points in successive order, usually occurring in uniform intervals. For example a sensor on an airplanes can send signal every second. In plain English, a time series is simply a sequence of numbers collected at regular intervals over a period of time.

Breaking Down 'TIME SERIES'​

The Airplane flight data recorder (FDR) also know as a black box(lthough it is now orange-coloured) is a device that record the recent history of the flight through the recording of dozens of parameters collected several times per second. data from FDR is view and analyzed as time series. Time series analysis is vital in analysis of a given asset, security or economic variable changes over time or how it changes compared to other variables over the same time period. For example, suppose you wanted to analyze a time series of daily closing stock prices for a given stock over a period of one year. You would obtain a list of all the closing prices for the stock over each day for the past year and list them in chronological order. This would be a one-year, daily closing price time series for the stock.

For analyst, data scientists it is hard to diagnose a fault by single data point. They need to look at series of data points or time serious to identify faults and even predict when is it is time for example for next maintenance in context of Airplane Health management. So BIO Times Series founders have been asking themselves why we are not doing this in Medicine?

BIO Time Series series The Bio times series can be used in real time by patient, and patient’s healthcare provides to improve accuracy of diagnoses, treatments and improve the overall quality of patient health at lower cost.

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