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Machine Learning Applications in Healthcare – Smoothing out the Edges of Machine Learning

Machine Learning Applications in Healthcare. The Machine Learning Applications in Healthcare for Everyday Support. March 6, 2017. By Machine Learning Applications. With Comments Off on The Machine Learning Applications in Healthcare for Everyday Support. Machine Learning Application Predicting the Future. Medications the patient is taking. New medications that were prescribed. Treatments or surgeries received. Vital signs while seeking treatment. Personal and family history of illnesses. For example, if ...

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Machine Learning Applications in Healthcare – Smoothing out the Edges of Machine Learning | onexus.org Reviews

https://onexus.org

Machine Learning Applications in Healthcare. The Machine Learning Applications in Healthcare for Everyday Support. March 6, 2017. By Machine Learning Applications. With Comments Off on The Machine Learning Applications in Healthcare for Everyday Support. Machine Learning Application Predicting the Future. Medications the patient is taking. New medications that were prescribed. Treatments or surgeries received. Vital signs while seeking treatment. Personal and family history of illnesses. For example, if ...

INTERNAL PAGES

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1

ONEXUS - Data analysis life cycle management

http://www.onexus.org/faq.html

Onexus is a modular framework to manage the complete life cycle of data analyses. Data analyses follow these steps: analysis definition, analysis execution, results storing, results browsing and finally results publishing. The first Onexus release will be focused on results storing and results browsing. But what can I do? The implemented modules of the first release will allow you to easily create websites to browse your datasets in a way similar to this. Who is using Onexus? When it will be available?

2

ONEXUS - Data analysis life cycle management

http://www.onexus.org/index.html

Data analysis life cycle management. Data analysis life cycle. Onexus is a modular framework to manage the complete life cycle of data analyses. Data analyses follow these steps: analysis definition, analysis execution, results storing, results browsing and finally results publishing. Onexus is a general framework, so its functionality depends on the implemented modules. On the first release we want to focus on making Onexus useful for this use case:. Easily build a website with big datasets.

3

ONEXUS - Data analysis life cycle management

http://www.onexus.org/about.html

What about the authors. The Biomedical Genomics Group. Is a research group integrated in the Research Unit on Biomedical Informatics ( GRIB. Of the University Pompeu Fabra ( UPF. The lab is located in the newly formed Biomedical Research Park in Barcelona ( PRBB. Our main research interest is the computational study of human genetic diseases, including hereditary diseases and cancer, at genomic level (see details in Projects. For information, comments and/or suggestions, please contact us at:.

4

ONEXUS - Data analysis life cycle management

http://www.onexus.org/download.html

Onexus is still under development, but is open source and you can follow us on GitHub. Also, if you are interested in help us as a beta tester or be notify of our progress, please subscribe to our newsletter. Thanks. Subscribe, and we'll be in touch.

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psygenet.org psygenet.org

PsyGeNET - a database of gene-disease associations

http://www.psygenet.org/web/PsyGeNET/v01/about

1 Original data sources. PsyGeNET database integrates information on psychiatric disorders and their genes, offering exploratory tools for the analysis of gene-disease associations.This database is the result of the integration of curated information from (www.disgenet.org). And text-mined data from literature reviewed by experts in psychiatry. The integration is performed by means of gene and disease vocabulary mapping.More information on the methodology is provided below. 1 Original data sources. The C...

database.oxfordjournals.org database.oxfordjournals.org

DisGeNET: a discovery platform for the dynamical exploration of human diseases and their genes

http://database.oxfordjournals.org/content/2015/bav028.full

View Current Issue (Volume 2016 Issue 2016). DisGeNET: a discovery platform for the dynamical exploration of human diseases and their genes. Laura I. Furlong. Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute (IMIM), Department of Experimental and Health Sciences, Universitat Pompeu Fabra, C/Dr Aiguader 88, E-08003 Barcelona, Spain,. Scientific and Business Information Services, Roche Diagnostics GmbH, Nonnenwald 2, 82377 Penzberg, Germany. October 17, 2014.

disgenet.org disgenet.org

DisGeNET - a database of gene-disease associations

http://disgenet.org/web/DisGeNET/v2.1/browser

Download the results of your analysis. Share your results by email. 2010-2016, Integrative Biomedical Informatics Group.

bg.upf.edu bg.upf.edu

Biomedical Genomics Group

http://bg.upf.edu/group/tools.php

In our group we have developed several methods and tools for the analysis and visualization of cancer genomics data. Below is a description of the main tools and methods:. A discovery tool for cancer researchers. To identify cancer drivers: OncodriveFM. And classify them according to their role OncodriveROLE. Methods to assess the functional impact of mutations: Condel. Sample Level Enrichment Analysis: SLEA. Integrative OncoGenomics (IntOGen: http:/ www.intogen.org. The IntOGen Mutation Analysis Pipeline.

psygenet.org psygenet.org

PsyGeNET - a database of gene-disease associations

http://www.psygenet.org/web/PsyGeNET/menu/home

PsyGeNET (Psychiatric disorders Gene association NETwork) is a resource for the exploratory analysis of psychiatric diseases and their associated genes. In the first release of PsyGeNET, we focused on three psychiatric disorders: Major Depression, Cocaine Use Disorder, Alcohol Use Disorder. PsyGeNET is composed of a database and a set of analysis tools, powered by Onexus (www.onexus.org). PsyGeNET database is the result of the integration of information from DisGeNET (http:/ www.disgenet.org).

ibi.imim.es ibi.imim.es

PsyGeNET | IBI Group

http://ibi.imim.es/tools/psygenet

Integrative Biomedical Informatics Group, Research Programme on Biomedical Informatics (GRIB) IMIM-UPF. Knowledge management and linked data. Real World Data analytics in health. PsyGeNET database is the result of the integration of information from DisGeNET (http:/ www.disgenet.org). Due to its special focus on psychiatric diseases and comprehensiveness, PsyGeNET represents a valuable resource for the analysis of the molecular underpinning of psychiatric disorders and their comorbidities.

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Machine Learning Applications in Healthcare. The Machine Learning Applications in Healthcare for Everyday Support. March 6, 2017. By Machine Learning Applications. With Comments Off on The Machine Learning Applications in Healthcare for Everyday Support. Machine Learning Application Predicting the Future. Medications the patient is taking. New medications that were prescribed. Treatments or surgeries received. Vital signs while seeking treatment. Personal and family history of illnesses. For example, if ...

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