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PYTHON using [login to view URL] to fit model to data- simplified reference tissue model

I need to fit a simplified reference tissue model (srtm) to time-activity curves to different regions of the brain. The equation for this function is given below in the file. I need to fit the srtm to the measured data time-activity curves. I need to estimate the parameters R1, K2A AND K2' and then use an optimization algorithm (Levenberg-Marquardt optimization) to find the best fit of the model to the actual data. The parameters for the best fit then need to be generated.

Skills: Machine Learning, Python, Software Architecture

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About the Employer:
( 2 reviews ) Chafford Hundred, United Kingdom

Project ID: #18865691

10 freelancers are bidding on average £191 for this job

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adampodgorski

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