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Probabilistic graphic models applied to identification of diseases
Decision-making is fundamental when making diagnosis or choosing treatment. The broad dissemination of computed systems and databases allows systematization of part of decisions through artificial intelligence. In this text, we present basic use of probabilistic graphic models as tools to analyze ca...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Instituto de Ensino e Pesquisa Albert Einstein
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4943832/ https://www.ncbi.nlm.nih.gov/pubmed/26154555 http://dx.doi.org/10.1590/S1679-45082015RB3121 |
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author | Sato, Renato Cesar Sato, Graziela Tiemy Kajita |
author_facet | Sato, Renato Cesar Sato, Graziela Tiemy Kajita |
author_sort | Sato, Renato Cesar |
collection | PubMed |
description | Decision-making is fundamental when making diagnosis or choosing treatment. The broad dissemination of computed systems and databases allows systematization of part of decisions through artificial intelligence. In this text, we present basic use of probabilistic graphic models as tools to analyze causality in health conditions. This method has been used to make diagnosis of Alzheimer´s disease, sleep apnea and heart diseases. |
format | Online Article Text |
id | pubmed-4943832 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Instituto de Ensino e Pesquisa Albert Einstein |
record_format | MEDLINE/PubMed |
spelling | pubmed-49438322016-08-10 Probabilistic graphic models applied to identification of diseases Sato, Renato Cesar Sato, Graziela Tiemy Kajita Einstein (Sao Paulo) Reviewing Basic Sciences Decision-making is fundamental when making diagnosis or choosing treatment. The broad dissemination of computed systems and databases allows systematization of part of decisions through artificial intelligence. In this text, we present basic use of probabilistic graphic models as tools to analyze causality in health conditions. This method has been used to make diagnosis of Alzheimer´s disease, sleep apnea and heart diseases. Instituto de Ensino e Pesquisa Albert Einstein 2015 /pmc/articles/PMC4943832/ /pubmed/26154555 http://dx.doi.org/10.1590/S1679-45082015RB3121 Text en http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Reviewing Basic Sciences Sato, Renato Cesar Sato, Graziela Tiemy Kajita Probabilistic graphic models applied to identification of diseases |
title | Probabilistic graphic models applied to identification of diseases |
title_full | Probabilistic graphic models applied to identification of diseases |
title_fullStr | Probabilistic graphic models applied to identification of diseases |
title_full_unstemmed | Probabilistic graphic models applied to identification of diseases |
title_short | Probabilistic graphic models applied to identification of diseases |
title_sort | probabilistic graphic models applied to identification of diseases |
topic | Reviewing Basic Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4943832/ https://www.ncbi.nlm.nih.gov/pubmed/26154555 http://dx.doi.org/10.1590/S1679-45082015RB3121 |
work_keys_str_mv | AT satorenatocesar probabilisticgraphicmodelsappliedtoidentificationofdiseases AT satograzielatiemykajita probabilisticgraphicmodelsappliedtoidentificationofdiseases |