boqa

PhenoTips fork of the Bayesian Ontology Query Algorithm (BOQA) implementation

cada

clinphen

small update to Bejerano G's clinphen

collaborare_client

collaborare_server

desorg-client

desorg-server

disease-prediction-via-gcn

A simple implementation of the paper "Disease Prediction via Graph Neural Networks".

diseasepredictor

dx29.annotations

To extract information from text or medical documents.

dx29.apigateway

Dx29 exposes an API for third parties to use the tool’s algorithms independently of the tool.

dx29.bioentity

To obtain symptom and disease information.

dx29.bionet

Dx29 algorithm for the calculation and suggestion of diseases

dx29.compose

Dx29 Docker compose

dx29.documents

For the management and administration of documents necessary for the correct functioning of the Dx29 application.

dx29.environments

Create Environments (AKS,Container registry,...)

dx29.exomiser

dx29.f29api

dx29.filestorage

For the management and administration of user documents for the correct functioning of the Dx29 application.

dx29.localization

Translation of the Dx29 application into English or Spanish.

dx29.mailing

to send emails: with content, subject and attachments, indicating who is sending the email, to whom it is being sent and if there are others in copy.

dx29.medicalhistory

Manage patients (databases and blobs) as Dx29 Application, with this Data Models

dx29.phensimmilarity

To obtain the differential diagnosis at the phenotypic level between a patient’s symptoms and those of a disease.

dx29.pipelines_all

Automation Azure pipeline for environment deployment wiht build and deploy tasks

dx29.pipelines_only_deploy

Automation Azure pipeline for environment deployment ONLY with deploy tasks

dx29.segmentation

To divide a text into paragraphs, lines, sections,…

dx29.termsearch2

Allows the searches both for symptoms and diseases.

dx29.web

dx29_client

dx29_client_gpt