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A clinical Decision Support System for Diagnosis of Allergic Rhinitis
A Clinical Decision Support System (CDSS) can be used for diagnosing allergic disorders.
CDSS with rule based classification approaches, aid junior doctors and clinicians to diagnose and make reliable decisions. The results of an intradermal skin test is the input to the CDSS. The System predicts the presence or absence of ALLERGIC RHINITIS.
The system is tailored to suit to the common allergens (inhalents and ingestants) prevalent in Chennai, South India.
import and store ECG, associate to clinical data, automatic HRV
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This multi-platform application will enable the user to import digital CSV ECGs at any sampling rate and store them in an encrypted local DB along with relevant clinical data of the patient.
It also performs automatic QRS complex detection and RR interval classification showing the output in a visual chart that the user can edit to correct sources with artifacts or pats with bad detections.
This project was developed using Netbeans 7.3 IDE.
For further questions or feature requests please contact me at mamenarguez@ou.edu
Please read wiki for initial setup
Quantitative Evalution of Blush: a program to assess myocardial reperfusion on coronary angiograms. This program calculates a value that can be used for risk classification of STEMI patients or as a surrogate endpoint in clinical trials.
Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Thea, Tools for High-throughput Experiment Analysis, is an integrated information processing system dedicated to the annotation of data issued from classification systems with biological information coming from a knowledge base.
SAAT Semi-Automated Annotation Tools
The Medical University Graz, in cooperation with the Fraunhofer Institute for Biomedical Engineering IBMT is developing the SAAT - Semi-Automated Annotation Tools in the CRIP context.