Search Results for "classification"
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Showing 16 open source projects for "classification"
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ECG Logger Viewer
ECG Logger Viewer is the application software for ECG Logger device.
NEW VERSION 3.2.1.5 - MARS 2022 ECG Logger is a Wearable Cardio Monitor for Long-Term (up to 24h) ECG Data Acquisition and Analysis (aka Holter) with an ECG live (real-time) mode. The ECG Logger project is aimed for providing a very low-cost open-source "Hardware and Software" for a Cardiac Rhythmic Holter. The hardware has been made very simple and is based on an Arduino Nano micro-controller with two companion boards for the SD card mass-storage and the instrumentation differential... -
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Pain2D are programs which were developed for the automated pain drawing collection and classification of diseases on the basis of pain drawings in pen-and-paper and digital form for research purposes. Pain2D is currently not a diagnostic tool, but is aimed at scientists, physicians and anyone interested in the automated analysis of pain drawings.
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ICDtools
Tools for ICD (International Classification of Diseases) data
Currently implemented: Python parser to import ICD10 XML data into a relational PostgreSQL database Sponsored by Ordium Biotechnology https://ordium.ai MIT License -
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CDSS for Allergy-Diagnosis
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. -
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CIMA
Body Mass Index (BMI) and Other Indexes Calculator with Classification
CIMA is a program that provides an easy way to calculate a diversity of body indexes related to the fat content and energy needs, providing a way to control our weight: 1 - Body Mass Index (BMI), including both the traditional and the new proposed formulas, and provides a classification of the results. The evaluation takes in account the age groups (adults, children and the elderly). 2 - Body Adiposity Index (BAI). 3 - Basal Metabolic Rate (BMR) for Men and for Women. 4 - Body Fat Percentage (BFP). 5 - Total Daily Calories Needs based on the activity levels of the user lifestyle. The program supports 3 languages (English, European Portuguese and Brazilian Portuguese). ... -
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GoIFISH
for the semi-automated analysis of IFISH images
GoIFISH has been developed for the analysis of IFISH (Immunofluorescence + Fluorescence in situ Hybridisation) images, performing nuclear, membrane and spot detection. Users can manually edit segmentation results, perform background adjustments, construct heatmaps, topology maps, and perform cell classification. All results can be exported for further analysis. GoIFISH has been developed in MATLAB, however binaries are provided to run the program outside of the MATLAB environment. Source code is also available for download. To cite this software: "GoIFISH: A system for the quantification of single cell heterogeneity from IFISH images" Trinh A, Rye IH, Almendro V, Helland A, Russness HG, Markowetz F May 2014 -
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ECG2HRV
import and store ECG, associate to clinical data, automatic HRV
...v=AOzpNMC-FXU 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 -
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WaveSorter
A powerful, versatile tool for offilne spike analysis and sorting
...Within the waveform space, cursor-based controls let the user select subregions of the waveform space or individual waveforms to view. The user may cluster waveforms manually or via one of several popular clustering programs. The classification along with waveform properties (width, etc.) can be saved to disk in simple text files. WaveSorter is written in C++, utilizes the GNU Scientific Library for all computation, and is highly parallelized; on modern hardware it can handle files containing several 100,000s of waveforms per channel with almost no noticeable loss in GUI fluidity and <1sec lags for files with >1,000,000 waveforms per channel. ... -
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CoVEC
Consensus Variant Effect Classification
The package provides SVM models to be used with SVMlight (http://svmlight.joachims.org/) for drawing a consensus out of individual 3rd-party predictions about the effect of mutations. The 3rd party tools are SIFT, Polyphen2, SNPs&GO and Mutation Assessor. The package also provides a series of Perl modules and scripts to assist in the preparation of data. The modules can be used to build custom tools and pipelines, whereas the scripts provide basic executable implementations based on the... -
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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.
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OpenCCAM : - Coding tools for the french CCAM (Classification Commune des Actes Médicaux) - Outils d'aide au codage pour la CCAM
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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.
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The Open Terminology Server projects main goals is provide a fully distribute terminology server which allows a client to navigate various classifications consistently via a generic classification model API (GAPI).
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Stereologist assists the medical researcher in the classification of microscopic tissue samples captured as digital image files. The data collected can then be exported to a spreadsheet for further analysis.
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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.
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