From d72872ac9c16f677d5fe8fa9ca18adafc55d95b8 Mon Sep 17 00:00:00 2001 From: Ayush Shivani <ashivani@aicrowd.com> Date: Thu, 24 Sep 2020 14:19:42 +0530 Subject: [PATCH] updated readme --- README.md | 5 ++++- aicrowd.yaml | 2 +- 2 files changed, 5 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index cfad76e..653ad97 100644 --- a/README.md +++ b/README.md @@ -4,12 +4,15 @@  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 diff --git a/aicrowd.yaml b/aicrowd.yaml index d018c74..04cfe96 100644 --- a/aicrowd.yaml +++ b/aicrowd.yaml @@ -1,6 +1,6 @@ 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 -- GitLab