G2

Darshit P.

Senior Software Engineer

Information Technology and Services

Enterprise (> 1000 emp.)

6/5/2018

"Machine Learning for Neuro Imaging Data"

5/5

What do you like best about Nilearn?

Nilearn is the library for python which is used for neuro image processing.It makes easy for us to use many advanced machine learning,pattern recognition and multivariate statistical techniques on neuroimaging data.It can easily be used on fMRI data,resting data and VB data so it is the best api for neuro images.It is being used in the health sector for predicting clinical score or treatment response with supervised learning algorithms.It can also be used for many other functionalities for neuro imaging data.It is the best library for predicting and performing supervised learning on neuro imaging data. Review collected by and hosted on G2.com.

What do you dislike about Nilearn?

I have nothing to dislike about Nilearn because it is the best library which is being used in the health sector for predicting various responses. Review collected by and hosted on G2.com.

Recommendations to others considering Nilearn:

I recommend using Nilearn for applying supervised learning algorithms on the neuro imaging results produced from various imaging machines.If you are developing a software for health sector,you definetly require a machine learning algorithm to predict the treatment response for the doctor.So it is a very useful for us so I recommend using Nilearn for implementing machine learning for neuro imaging data and predict results accordingly. Review collected by and hosted on G2.com.

What problems is Nilearn solving and how is that benefiting you?

I am a software designer and once in a while we get some projects from health sector also.Recently we were working with the Imaging center and they required a software product for predicting various responses depending on the imaging of the machine in realtime.So we decided to use Nilearn for implementing neuro image predicting using supervised learning.So Nilearn helped us develop a software for that imaging center.I have also developed various softwares for doctors also which used it for predicting treatment responses based on the imaging results of MRI or CTScan.So Nilearn has been used many times by me. Review collected by and hosted on G2.com.