This dataset contains 2000+ records of features extracted from Cardiotocogram exams, which were then classified by three expert obstetritians into 3 classes:

Normal
Suspect
Pathological

Baseline value - Baseline Fetal Heart Rate (FHR)

Accelerations - Number of accelerations per second

Fetal_movement - Number of fetal movements per second

Uterine_contractions - Number of uterine contractions per second

Light_decelerations - Number of LDs per second

Severe_decelerations - Number of SDs per second

Prolongued_decelerations - Number of PDs per second

Abnormal_short_term_variability - Percentage of time with abnormal short term variability

Mean_value_of_short_term_variability - Mean value of short term variability

Percentage_of_time_with_abnormal_long_term_variability - Percentage of time with abnormal long term variability

Sample submission: You should submit a CSV file with a header row and the sample submission can be found below:

fetal_health

1

2

1

0

2

Saving Prediction File & Sample Submission

You can find more details on how to save a prediction file here: https://discuss.dphi.tech/t/how-to-submit-predictions/548

Etc.

Note that the header name should be ‘fetal_health’ else it will throw an evaluation error.

Notebook Submission

Steps to follow to submit your notebook:

Go to the Notebook section on this challenge page
Click on the 'Upload Notebook' button on top left corner as shown in the image below:
Make sure to make the visibility of your notebook as 'public' while uploading the notebook.
Provide Notebook Title, Summary, add some tags, go to next, chose a file and click on Upload.

Data Sprint 75 - Reproductive Child-Healthcare Classification

Challenge Starts

Registration Ends

Challenge Ends