Category/Biology/health-and-medicine

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health-and-medicine (20)



Aletheia
In short, Aletheia is software for getting science published and into the hands of everyone, for free. It's a decentralised and distributed database used as a publishing platform for scientific research. So, Aletheia is software. But software without people is nothing. To comprehensively answer the question what is Aletheia, Aletheia is software surrounded by a community of people who want to change the world through open access to scientific knowledge. For a more in depth explanation, Aletheia is an Ethereum Blockchain application utilising IPFS for decentralised storage that anyone can upload documents to, download documents from, that also handles the academic peer review process. The application runs on individual PCs, all forming part of the IPFS database. This gives us an open source platform that cannot be bought out by the large publishers (and any derivitive works must also be open source) that should also be hard to take down due to the database being spread across the globe in multiple legal jurisdictions. Aletheia is designed to be a resilient platform run transparently by the community, not some black box corporation or editorial board, meaning all users can see the decisions Aletheia is making and have a stake in that decision making process if they so desire. By this nature, Aletheia is decentralised, it has no key person risk. Should the core group who invented Aletheia dissapear Aletheia won't cease to exist, it will continue to be run by the community. The community moderates content through various mechanisms (peer review, reputation scores etc.,) to ensure quality of content.
Antidote
Antidote is an open source implementation of the IEEE 11073-20601 standard. It also contains the implementation of a D-Bus based 11073 manager service.
BioMail
BioMail automates searching for recent scientific papers in the PubMed Medline database, and can periodically run a customized Medline search and send all recent matching articles to the user's e-mail address. You can save search patterns: no more remembering which search was good and which wasn't. It is intended for medical researchers, biologists, and anyone who wants to know the latest information about a disease or a biological phenomenon. It is also useful for users who have email address but slow or sporadic Web access; they can set up searches and have them emailed to an address instead of having to surf the Web themselves for the information.
DataStatix
DataStatix is a free software for GNU/Linux and Windows useful to manage data of every kind (although it has been written to manage biomedical data), to create descriptive statistics and graphs and to export items easily to R environment or to other statistic softwares. In order to handle properly big amount of data and many concurrent users, DataStatix works with MySql database and it has been developed and tested with MySql community edition 5.5. Some features of the software are: users management (create, delete, modify password) within the software; different users levels of data access (administrator, default, read only); user defined templates (models) of data, to create new databases easily; importation and esportation of data in CSV format (used also by Calc and Excel); updating of existing data from a CSV file created with DataStatix; descriptive statistics from every data (some more kind of statistics to come); graphs from every data.
Electrocardiognosis
Electrocardiognosis (a.k.a. Ecgnosis) is a software package designed to assist the physician in formulating diagnoses on 24h ambulatory ECG monitoring (Holter) recordings.
FreeMED
FreeMED is a Web-based medical records (EMR) and patient management system with a printing system, patient scheduling, an HL7 interface, a billing system, XML-RPC Web services, and many other features. It has an extensible modular architecture, allowing it to be customized based on individual practices without having to rewrite core components of the system. It is HIPAA compliant.
Gnotary Heckert gnu.small.png
Gnotary is an asynchronous peer-to-peer digital notary service based on email. The server polls POP3 mail boxes scanning for specified key words in the subject line. A digital signature of the email body is returned to the sender. The main purpose is to allow medical practitioners to establish a peer-to-peer based notary service for their electronic health records. This unmaintained package was formerly a GNU package. It’s now part of History.
Gnumed Heckert gnu.small.png
GNUmed is an electronic medical record software, supporting paperless medical practices. Several interface languages are supported. It is a comprehensive scalable software solution for electronic medical practices with an emphasis on privacy protection, secure patient centric record sharing, decision support, and ease of use. GNUmed operates in a client-server environment where the client and the server are physically two different machines. Each software component (i.e. Client 1.6.11 / Server 21.11) are distributed separately. It is alongside GNU Health, one of the medical solution of the GNU project.
Health Heckert gnu.small.png
GNU Health is a program designed for hospitals, offering the following functionalities:
  • Electronic Medical Record (EMR)
  • Hospital Information System (HIS)
  • Health Information System
It has a strong focus on family medicine and primary care, along with socio-economic circumstances. It uses the following disease and medical procedure standards: (ICD-10 / ICD-10-PCS). There are facilities to aid in choosing medicines; prescription writing; patient, hospital finacial, and lab administration tools; a database of 4,200 disease-related genes; epidemiological reporting; and much more. GNU Health is part of GNU Solidario, an NGO offering health and education to the underpriveledged through free software: http://www.gnusolidario.org/
INFOTOPO
Programs for Information Topology Data Analysis Information Topology is a program written in Python (compatible with Python 3.4.x), with a graphic interface built using TKinter [1], plots drawn using Matplotlib [2], calculations made using NumPy [3], and scaffold representations drawn using NetworkX [4]. It computes all the results on information presented in the study [5], that is all the usual information functions: entropy, joint entropy between k random variables (Hk), mutual informations between k random variables (Ik), conditional entropies and mutual informations and provides their cohomological (and homotopy) visualisation in the form of information landscapes and information paths together with an approximation of the minimum information energy complex [5]. It is applicable on any set of empirical data that is data with several trials-repetitions-essays (parameter m), and also allows to compute the undersampling regime, the degree k above which the sample size m is to small to provide good estimations of the information functions [5]. The computational exploration is restricted to the simplicial sublattice of random variable (all the subsets of k=n random variables) and has hence a complexity in O(2^n). In this simplicial setting we can exhaustively estimate information functions on the simplicial information structure, that is joint-entropy Hk and mutual-informations Ik at all degrees k=<n and for every k-tuple, with a standard commercial personal computer (a laptop with processor Intel Core i7-4910MQ CPU @ 2.90GHz * 8) up to k=n=21 in reasonable time (about 3 hours). Using the expression of joint-entropy and the probability obtained using equation and marginalization [5], it is possible to compute the joint-entropy and marginal entropy of all the variables. The alternated expression of n-mutual information given by equation then allows a direct evaluation of all of these quantities. The definitions, formulas and theorems are sufficient to obtain the algorithm [5]. We will further develop a refined interface (help welcome) but for the moment it works like this, and requires minimum Python use knowledge. Please contact pierre.baudot [at] gmail.com for questions, request, developments (etc.): [1] J.W. Shipman. Tkinter reference: a gui for python. . New Mexico Tech Computer Center, Socorro, New Mexico, 2010. [2] J.D. Hunter. Matplotlib: a 2d graphics environment. Comput. Sci. Eng., 9:22–30, 2007. [3] S. Van Der Walt, C. Colbert, and G. Varoquaux. The numpy array: a structure for efficient numerical computation. Comput. Sci. Eng., 13:22– 30, 2011. [4] A.A. Hagberg, D.A. Schult, and P.J. Swart. Exploring network structure, dynamics, and function using networkx. Proceedings of the 7th Python in Science Conference (SciPy2008). Gel Varoquaux, Travis Vaught, and Jarrod Millman (Eds), (Pasadena, CA USA), pages 11–15, 2008. [5] M. Tapia, P. Baudot, M. Dufour, C. Formisano-Tréziny, S. Temporal, M. Lasserre, J. Gabert, K. Kobayashi, JM. Goaillard . Information topology of gene expression profile in dopaminergic neurons doi: https://doi.org/10.1101/168740 http://www.biorxiv.org/content/early/2017/07/26/168740

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