Aplikasi python untuk diagnosa penyakit kepala ringan | Kelompok 4

Dr. AI is an innovative virtual health assistant application designed to provide users with personalized health advice, symptom checking, medication information, and more. Our mission is to make health information accessible, reliable, and comprehensive.

It will ask various set of question about how user is feeling and give appropriate feedback.

Python FastDiagP implementation

NLMyo🔧: a toolbox built to leverage the power of Large Language Models (LLMs) to exploit histology text reports. Demo version at: https://lbgi.fr/NLMyo

Enhancing diagnostic deep learning via self-supervised pretraining on large-scale, unlabeled non-medical images

Liver Disease prediction using binary classification such as SVM, ANN, or Random Forest. Generate missing data using the MICE algorithm. Use SMOTE to oversample minority class to reduce biases towards majority class. ROC analysis and k-fold Cross-validation Hypothesis tests were done. Data Source: UCI Machine Learning Repository

STARK is a Next-Generation Sequencing data analysis pipeline for clinical diagnosis

Code for the paper "ICON: Improving Inter-Report Consistency in Radiology Report Generation via Lesion-aware Mixup Augmentation" (EMNLP'24 Findings).

A simple tool to process multispectral images from the Micasense RedEdge-P (including indices, Agisoft, etc.)

Markov chain algorithm to predict next diagnosis

AI Diagnosis Assistant for Diagnosing Rare Diseases

Code for the paper "ORGAN: Observation-Guided Radiology Report Generation via Tree Reasoning" (ACL'23).

Python module for easy access to the EDIABAS API

Repository corresponding to the TFG 'Detection of the degree of diabetic retinopathy by means of convolutional networks' of the bachelor's degree in Bioengineering of the University of Burgos.

Faceted Answer-Set Navigation

IMPatienT🗂️: an integrated web application to digitize, process and explore multimodal patient data. Demo version deployed at: https://impatient.lbgi.fr/

(MICCAI 2022) PyTorch implementation of Denoising of 3D MR images using a voxel-wise hybrid residual MLP-CNN model to improve small lesion diagnostic confidence.

Code for the paper "RECAP: Towards Precise Radiology Report Generation via Dynamic Disease Progression Reasoning" (EMNLP'23 Findings).

An image classification neural network using multi scale features.