fetal-health

There are 9 repositories under fetal-health topic.

  • Jonas1312/ChallengeHC18

    Data Science Competition: “Automated Measurement of Fetal Head Circumference”. Top 8% Finalist.

    Language:Jupyter Notebook4202

  • simranvolunesia/Fetal-Arc

    Predicting Fetal Health, and Birth-Weight of fetus using Machine Learning

    Language:Jupyter Notebook3100

  • dgambone3/Fetal_Health_Prediction

    Machine learning project to predict fetal health from cardiotocography results

    Language:Jupyter Notebook10

  • elhariri78/elhariri78-ANN-Fetal-Health-Classification

    This project applies an Artificial Neural Network (ANN) to classify fetal health based on several health indicators

    10

  • KhushiiAgarwal/Fetal_Health_Prediction

    R mini project using Data Science and ML model

    Language:R0120

  • VisheshData/Fetal_health_classification

    Fetal Health Classification- Model trained for high recall and precision value

    Language:Jupyter Notebook00

  • AdityaTheDev/FetalHealthClassification-Using-SupportVectorMachine

    Reduction of child mortality is reflected in several of the United Nations' Sustainable Development Goals and is a key indicator of human progress. The UN expects that by 2030, countries end preventable deaths of newborns and children under 5 years of age, with all countries aiming to reduce under‑5 mortality to at least as low as 25 per 1,000 live births. Parallel to notion of child mortality is of course maternal mortality, which accounts for 295 000 deaths during and following pregnancy and childbirth (as of 2017). The vast majority of these deaths (94%) occurred in low-resource settings, and most could have been prevented. In light of what was mentioned above, Cardiotocograms (CTGs) are a simple and cost accessible option to assess fetal health, allowing healthcare professionals to take action in order to prevent child and maternal mortality. The equipment itself works by sending ultrasound pulses and reading its response, thus shedding light on fetal heart rate (FHR), fetal movements, uterine contractions and more.

    Language:Jupyter Notebook10

  • baramizzo58/fetal-health-deploy

    Deployment repositories. For Original & Explained repositories, kindly visit link below:

    Language:Jupyter Notebook10

  • kamruleee51/Feedback_DLIR

    A spatial feedback attention module (FBA) to enhance unsupervised 3D DLIR

    Language:Jupyter Notebook