Commit d72872ac authored by ashivani's avatar ashivani

updated readme

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![](https://www.researchgate.net/profile/Svetlana_Jankovic-Raznatovic/publication/303555090/figure/fig1/AS:457790276804611@1486157115977/Sinusoidal-cardiotocography-CTG-of-the-patient-with-oscillation-amplitude-which-is_W640.jpg)
Can you help save infant lives? A large number of infants die even before they are a month old. Majority of these deaths could be avoided through early diagnosis using monitoring tools such as Fetal cardiotocograph (CTGs). The goal is to develop a machine learning model which can use [`CTG`](https://geekymedics.com/how-to-read-a-ctg/) data for identifying high-risk `fetuses`.
Understand with code! Here is [getting started code](https://discourse.aicrowd.com/t/baseline-mnist/2757) for you.`😄`
# 💾 Dataset
The dataset consists of measurements of fetal heart rate (FHR) and uterine contraction (UC) features on cardiotocograms classified by expert obstetricians.
These `fetal cardiotocograms (CTGs)` were automatically processed and the respective diagnostic features measured. The `CTGs` were also classified by three expert obstetricians and a consensus classification label assigned to each of them. The dataset consists of `24` attributes out of which first `23` attributes describes details of `CTGs` features and last attribute called `NSP` is used to classify these `CTGs` on the basis of fetal state.<br/>
These `fetal cardiotocograms (CTGs)` were automatically processed and the respective diagnostic features measured. The `CTGs` were also classified by three expert obstetricians and a consensus classification label assigned to each of them. The dataset consists of `24` attributes out of which first `23` attributes describes details of `CTGs` features and last attribute called `NSP` is used to classify these `CTGs` in `normal`, `suspect` and `pathologic` on the basis of fetal state.<br/>
To know about given attributes click [here](https://gitlab.aicrowd.com/aicrowd/practice-challenges/aicrowd_CRDIO_challenge/blob/master/dataset_info.md).
# 📁 Files
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challenge_name: crdio
evaluation_repo: git@gitlab.aicrowd.com:aicrowd/practice-challenges/aicrowd_CRDIO_challenge_evaluator.git
data_url: https://s3.wasabisys.com/aicrowd-practice-challenges/public/crdio/v0.1/test_ground_truth.csv
data_url: https://datasets.aicrowd.com/default/aicrowd-practice-challenges/public/crdio/v0.1
official_baseline: CRDIO_baseline.ipynb
authors:
- name: Shubham Sharma
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