early-detection

There are 28 repositories under early-detection topic.

  • hw538/cfDNAPro

    cfDNAPro specializes in standardized and robust cfDNA fragmentomic analysis

    Language:R27642
  • AI-Classification

    COVID-19-AI-Research-Project/AI-Classification

    Open source Artificial Intelligence for COVID-19 detection/early detection. Includes Convolutional Neural Networks (CNN) & Generative Adversarial Networks (GAN)

    Language:Jupyter Notebook243610
  • SentryPeerHQ

    SentryPeer/SentryPeerHQ

    Fraud Detection for VoIP. Use SentryPeer® HQ to help prevent VoIP cyberattacks and fraudulent VoIP phone calls (toll fraud) at https://sentrypeer.com

    Language:Elixir20211
  • parkinson-s-diagnosis

    aaronstone1699/parkinson-s-diagnosis

    proposed early detection method for parkinson's disease using deep learning on MRI dataset

    Language:Jupyter Notebook17037

  • DhilipSanjay/Human-Biomechanic-Analysis

    Deep Learning Models for the Early Detection of Parkinson’s Disease using the motor-based symptoms.

    Language:Jupyter Notebook14200

  • DebeshJha/Kvasir-SEG

    Kvasir-SEG: A Segmented Polyp Dataset

    11101
  • DISC

    andrewli77/DISC

    This repository contains an implementation of DISC, an algorithm for learning DFAs for multiclass sequence classification.

    Language:Python7321

  • atharvaaalok/EWS-MultipleWindow-Method

    Research on developing a new method for determining the warning time of Early Warning Signals. Also an attempt at removing window size uncertainty from EWS analysis

    Language:MATLAB5200

  • JiaWu-Repository/HGATRD

    Heterogeneous Graph Attention Networks for Early Detection of Rumors on Twitter (IJCNN 2020)

    Language:Python30014

  • mustafahakkoz/Driver_Drowsiness_Detection

    Using Image Processing and both classical and brand-new Machine Learning techniques such as SVM, k-NN, XGBoost, and also LSTM; we are trying to predict beforehand the driver's drowsiness and warn him/her by an alert before any crash happened.

    Language:Jupyter Notebook3101

  • AFLucas-UOM/ARI2131-AI-Driven-Early-Detection-System-for-Dyslexia-and-ADHD

    This project primarily focuses on addressing the issue of early detection of learning disabilities in students, with a specific focus on dyslexia and attention deficit hyperactivity disorder (ADHD).

    Language:Python2200

  • EDRN/P5

    EDRN Production Program for the Public/Private Portal (P5)

    Language:Python273630

  • meteahishali/methods-early-cov19

    Methods for Advance Detection of COVID-19.

    Language:Python2100

  • sfu-mial/DOTNet

    Addresses the problem of reconstructing images acquired by diffuse optical tomography using deep learning.

    Language:Python2200

  • 12pavani/Heart-Disesse-Prediction

    Heart Disease Prediction Using Machine Learning is a logistic regression model that predicts heart disease based on medical data. It analyzes features like age and cholesterol, achieving 85.24% training accuracy and 80.49% testing accuracy, facilitating early detection for timely intervention.

    Language:Jupyter Notebook1

  • Anil951/Early-detection-of-mental-health

    Language:Jupyter Notebook1

  • Ashford-A/PRECEPTS1

    This repository houses a workflow that uses biological feature trees to segregate cancer RNA-seq datasets, then it trains machine learning models to predict the presence or absence of known, cancer-associated DNA-level mutations.

    Language:Python1101

  • fernandostockler/GuardClauses

    A collection of extension methods for validating method arguments in order to spot bugs as quickly as possible.

    Language:C#1200

  • olivia153/Early-Detection-of-Diabetic-Kidney-Disease-Using-Contrast-Enhanced-Ultrasound-Perfusion-Parameters

    Early Detection of Diabetic Kidney Disease using Contrast Enhanced Ultrasound Perfusion Parameters. Explore perfusion models (Lagged Normal, Log-Normal, Gamma Variate), compare their effectiveness, and analyze their application to diabetic and control cases.

    1100

  • amatov/FragmentomicsSubclinicalDisease

    Language:R0100

  • balchlab/VSPsnap

    VSPsnap is a collection of R and Python code for Gaussian Process regression in a kriging-like setting (i.e. two features (X,Y) and a target (Z)) - with a focus on SARS-CoV2 data (genomic/IR/FR).

    Language:R0000

  • MoraRubio/alzheimer-stages-dl

    Classification of Alzheimer's Disease stages from Magnetic Resonance Images using Deep Learning

    Language:Python0301

  • Quantitative-Conservation-Lab/Amburgey_etal_2021_NeoBiota

    Amburgey SM, AA Yackel Adams, B Gardner, B Lardner, AJ Knox, and SJ Converse. 2021. Tools for increasing visual encounter probabilities for invasive species removal: a case study of brown treesnakes. Neobiota 70:107-122.

    Language:R0000

  • shazin-v/Multiple-Disease-Prediction-System

    📊 Multiple Disease Prediction System 🏥 An intelligent healthcare system for predicting and diagnosing multiple diseases using machine learning and data analysis. Empowering early detection and better patient care. Disease Prediction: Predict the likelihood of various diseases, including heart diseases, diabetes, and more.

    Language:Python0101

  • EDRN/edrn.rdf

    EDRN's knowledge using the Resource Description Format (RDF)

    Language:Python92

  • EDRN/PublicPortal

    Obsolete buildout for the EDRN Public Portal

    Language:Python90

  • prasannaghimiree/Breast-Cancer-Histopathology-Image-Segmentation-using-U-Net

    Breast cancer histopathology image segmentation using U-Net. This repository implements U-Net for accurate segmentation of cancerous regions. It includes data augmentation, mixed precision training, checkpointing, and evaluation metrics like Dice score to improve model performance.

    Language:Jupyter Notebook10

  • ramxbx/GamblingAddictionTimeSeriesPrediction

    A Time series Data modelling to forecast Gambling Addiction Signs in Players using K-Means Clustering, ARIMA/SARIMA and LSTM to forecast wagering patterns

    Language:Jupyter Notebook10