SriKanth620's Stars
SriKanth620/Med-Vault
Rozrc25/ToDo-page-first-react-app
Rozrc25/RozVid-Conference
Rozrc25/Bharat-roz-projectmanagement
Rozrc25/SM-Space
Social media app
Rozrc25/NewBackend
Rozrc25/rozFoodProject
Rozrc25/react-food-app
ronitkathuria15/handwritten-prescription-recognition
The Optical Character Recognition (OCR) system consists of a comprehensive neural network built using Python and TensorFlow that was trained on over 115,000 wordimages from the IAM On-Line Handwriting Database (IAM-OnDB). The neural network consists of 5 Convolutional Neural Network (CNN) layers, 2 Recurrent Neural Network (RNN) Layers, and a final Connectionist Temporal Classification (CTC) layer. As the input image is fed into the CNN layers, a non-linear ReLU function is applied to extract relevant features from the image. The ReLU function is preferred due to the lower likelihood of a vanishing gradient (which arises when network parameters and hyperparameters are not properly set) relative to a sigmoid function. In the case of the RNN layers, the Long Short-Term Memory (LSTM) implementation is used due to its ability to propagate information through long distances. The CTC is given the RNN output matrix and the ground truth text to compute the loss value and the mean of the loss values of the batch elements is used to train the OCR system. This means is fed into an RMSProp optimizer which is focused on minimizing the loss, and it does so in a very robust manner. For inference, the CTC layer decodes the RNN output matrix into the final text. The OCR system reports an accuracy rate of 95.7% for the IAM Test Dataset, but this accuracy falls to 89.4% for unseen handwritten doctors’ prescriptions.
Infi-09/Doctor-Prescripton-Handwritten-Recoginition
This project uses handwriting recognition to recognize the names of medicines from a doctor's prescription. This is done using a Convolutional Neural Network (CNN) developed using the Pytorch Framework and OpenCV.
kshitijofficial/Dgdrive3.0
omarkshan/final-eth-klinka
Klinka is a network for holding and transfering medical records based on Ethereum, giving the ability to the network to be available to the public. Transactions are totally secured using SHA-256 Encryption to prevent data leak. The network is always watched over to prevent any malicious activity of any kind.
Arsalen/Cardea
A decentralized information sharing space between various actors: Clinics, doctors, laboratories, patients aims to provide a new model for electronic medical records exchange which enables users to have secure access and selectively share their data. Keywords: Ethereum, BigchainDB, NodeJS, Angular4, Solidity
shaiidan/MrC
MrC - Medical-records Chain. As part of the final project, we presented the patient with a single medical history, the system is based on Blockchain technology. The project is mainly research including an article we wrote describing the system and we also did imaging of the system using tools like: Ethereum, react and more.
Vedant2254/EHR-LockChain
A decentralized application (dApp) that runs it's backend on a decentralized server, i.e. Ethereum blockchain. Patients can use the application to manage sharing and access control of their medical records with respective doctors registered on the application.
swadhinroutray/secure-emr-storage
:crossed_swords: A secure EMR (Electronic Medical Records) storage application using IPFS, cloud storage and blockchain ecosystem.
aloshdenny/MEDETH
Med_ETH is a decentralized Ethereum-based medical record network that utilizes IPFS technology to securely store patient data widely over the planet's medical industry.
km0401/HealthView
A Blockchain based solution for Efficient Medical Image and Record Handling
Divijkatyal0406/MediBuddy
🧑⚕️💊A platform for providing digital health solutions🏥using blockchain technology⚡putting ultimate decision-making power into the patient’s hands to share their medical records 📩 securely with professionals⚕️they wish to consult without any intermediatory 🩺
hydeenoble/blockchain-developer-bootcamp-final-project
A decentralized application to manage medical health records.
sabm0hmayahai/healthBlock
Blockchain based medical record management system.
Roee-87/Patient-medical-record-portal
Example project of a decentralized medical records database using ethereum blockchain
Firmanrachmad/PrivateMedChain
Electronic Medical Records using Private Blockchain Ethereum
MedRecChain/MedRecChain
MedRecChain is a decentralized solution for Electronic Medical Records sharing systems (EMR). It uses Ethereum network and IPFS technology
ilovecheeseburgers/ethereum-emr-app
An Ethereum decentralized Electronical Medical Record (EMR) web application developed with Angular JS (TypeScript, CSS, HTML), Truffle framework for DApp, Ganache used as personal Ethereum Test Chain. Smart Contract created using Solidity. This app allows patients to selectively grant and revoke access to doctors who are registered by a governing body. Only authorized doctors granted permission are able to add medical records to patients address.
aditya-sahu/Medical-Record-Blockchain
Features like medical record keeping, blood and organ donation all using Ethereum Blockchain.
jimcase/EMR-Ethereum
Electronic Medical Records PoC.
anantbahuguna/Medical-Records-Management-using-Ethereum-Blockchain
Via5K/Re-Chain
Blockchain based medical health record keeper that can be used by anyone. With the security of blockchain and access control enabled which allows to restrict users according to their authority.
Via5K/Blockchain-Based-Medical-Health-Records
Smart Contracts for Medical Health Records, Frontend Implementation can be seen at-