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==1 Title, abstract and keywords==
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==Abstract==
  
Your document should start with a concise and informative title. Titles are often used in information-retrieval systems. Avoid abbreviations and formulae where possible. Capitalize the first word of the title.
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En este trabajo, se estableció una metodología de soporte al diagnostico de la enfermedad de Alzheimer (AD), principalmente
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en sus etapas de Deterioro Cognitivo Leve (MCI) ocasionado por AD y demencia ocasionada por AD.
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Para este fin fueron obtenidos casos clínicos de dos proyectos de investigación en demencia
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del tipo AD de reconocida trayectoria: las bases de datos Alzheimer's Disease
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Neuroimaging Initiative (ADNI) (www.loni.ucla.edu/ADNI) y la base de datos The
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Open Access Series of Imaging Studies (OASIS) (http://www.oasis-brains.org/).
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Asimismo, fueron establecidas dos tareas principales: la selección de variables predictoras
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de AD y la construcción de modelos de clasificacion basados en máquinas
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de soporte vectorial (SVM), entrenados a partir de las variables seleccionadas. Las
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variables predictoras seleccionadas estuvieron conformadas por biomarcadores morfométricos y características socio-demográficas y neuropsicológicas. Estas variables
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deberan ser útiles para la discriminación de casos clínicos en tres estados: (1) Estado
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normal (generalmente personas mayores sanas);
  
Provide a maximum of 6 keywords, and avoiding general and plural terms and multiple concepts (avoid, for example, 'and', 'of'). Be sparing with abbreviations: only abbreviations firmly established in the field should be used. These keywords will be used for indexing purposes.
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(2) Estado MCI ocasionado por
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AD; y (3) Etapa de demencia ocasionada por AD. Por otro lado, los modelos SVM
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estarán enfocados a dos tareas principales: (1) Diagnóstico de AD mediante la discriminación entre sujetos sanos y sujetos con AD; y (2) Predicción de AD, orientada
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a la discriminación de sujetos MCI con riesgo de convertirse a AD y sujetos MCI
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sin riesgo de conversión. Asimismo, estos modelos deberán garantizar resultados
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aceptables, respecto a la sensibilidad y especificidad de las tareas de clasificación.
  
An abstract is required for every document; it should succinctly summarize the reason for the work, the main findings, and the conclusions of the study. Abstract is often presented separately from the article, so it must be able to stand alone. For this reason, references and hyperlinks should be avoided. If references are essential, then cite the author(s) and year(s). Also, non-standard or uncommon abbreviations should be avoided, but if essential they must be defined at their first mention in the abstract itself.
 
  
==2 The main text==
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Los resultados obtenidos en esta investigación son prometedores. Por un lado, el
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subconjunto de variables seleccionadas como relevantes para el diagnóstico de AD,
 +
tienen correlación con los resultados de investigaciones previas. Asimismo, en la
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etapa de testeo, los resultados demostraron que los modelos SVM son de gran utilidad
 +
para el soporte diagnóstico clínico de esta enfermedad, siendo capaces de discriminar
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sujetos con AD de sujetos sanos (diagnóstico) con una exactitud mayor al 99% y
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distinguir a los sujetos MCI con riesgo de conversión a AD de los sujetos MCI sin
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riego de conversión (predicción) con una exactitud superior al 94%.
  
You can enter and format the text of this document by selecting the ‘Edit’ option in the menu at the top of this frame or next to the title of every section of the document. This will give access to the visual editor. Alternatively, you can edit the source of this document (Wiki markup format) by selecting the ‘Edit source’ option.
 
  
Most of the documents in Scipedia are written in English (write your manuscript in American or British English, but not a mixture of these). Anyhow, specific publications in other languages can be published in Scipedia. In any case, the documents published in other languages must have an abstract written in English.
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<pdf>Media:Draft_Samper_847403704_5250_M131.pdf</pdf>
  
===2.1 Subsections===
 
  
Divide your article into clearly defined and numbered sections. Subsections should be numbered 1.1, 1.2, etc. and then 1.1.1, 1.1.2, ... Use this numbering also for internal cross-referencing: do not just refer to 'the text'. Any subsection may be given a brief heading. Capitalize the first word of the headings.
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==References==
  
===2.2 General guidelines===
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See pdf document
 
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Some general guidelines that should be followed in your manuscripts are:
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:*  Avoid hyphenation at the end of a line.
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:*  Symbols denoting vectors and matrices should be indicated in bold type. Scalar variable names should normally be expressed using italics.
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:*  Use decimal points (not commas); use a space for thousands (10 000 and above).
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:*  Follow internationally accepted rules and conventions. In particular use the international system of units (SI). If other quantities are mentioned, give their equivalent in SI.
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===2.3 Tables, figures, lists and equations===
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Please insert tables as editable text and not as images. Tables should be placed next to the relevant text in the article. Number tables consecutively in accordance with their appearance in the text (<span id='cite-_Ref382560620'></span>[[#_Ref382560620|table 1]], table 2, etc.) and place any table notes below the table body. Be sparing in the use of tables and ensure that the data presented in them do not duplicate results described elsewhere in the article.
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<span id='_Ref382560620'></span>
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{| style="margin: 1em auto 1em auto;border: 1pt solid black;border-collapse: collapse;"
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|-
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| style="text-align: center;"|Thickness
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| style="text-align: center;"|3.175 mm
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|-
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| style="text-align: center;"|Young Modulus
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| style="text-align: center;"|12.74 MPa
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|-
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| style="text-align: center;"|Poisson coefficient
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| style="text-align: center;"|0.25
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|-
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| style="text-align: center;"|Density
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| style="text-align: center;"|1107 kg/m<sup>3</sup>
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|}
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<div class="center" style="width: auto; margin-left: auto; margin-right: auto;">
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<span style="text-align: center; font-size: 75%;">Table 1: Material properties</span></div>
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Graphics may be inserted directly in the document and positioned as they should appear in the final manuscript.
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<span id='_Ref448852946'></span>
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<div class="center" style="width: auto; margin-left: auto; margin-right: auto;">
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[[Image:Scipedia.gif|center|480px]]
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</div>
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<div class="center" style="width: auto; margin-left: auto; margin-right: auto;">
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<span style="text-align: center; font-size: 75%;">Figure 1. Scipedia logo.</span></div>
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Number the figures according to their sequence in the text (<span id='cite-_Ref448852946'></span>[[#_Ref448852946|figure 1]], figure 2, etc.). Ensure that each illustration has a caption. A caption should comprise a brief title. Keep text in the illustrations themselves to a minimum but explain all symbols and abbreviations used. Try to keep the resolution of the figures to a minimum of 300 dpi. If a finer resolution is required, the figure can be inserted as supplementary material
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For tabular summations that do not deserve to be presented as a table, lists are often used. Lists may be either numbered or bulleted. Below you see examples of both.
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1. The first entry in this list
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2. The second entry
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2.1. A subentry
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3. The last entry
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* A bulleted list item
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* Another one
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You may choose to number equations for easy referencing. In that case they must be numbered consecutively with Arabic numerals in parentheses on the right hand side of the page. Below is an example of formulae that should be referenced as eq. <span id='cite-_Ref424030152'></span>[[#_Ref424030152|(1)]].
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{| style="width: 100%;"
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|-
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| style="vertical-align: top;"| <math>{\nabla }^{2}\phi =0</math>
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| style="text-align: right;"|<span id='_Ref424030152'></span>
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(1)
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|}
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===2.4 Supplementary material===
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Supplementary material can be inserted to support and enhance your article. This includes video material, animation sequences, background datasets, computational models, sound clips and more. In order to ensure that your material is directly usable, please provide the files with a preferred maximum size of 50 MB. Please supply a concise and descriptive caption for each file.
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==3 Bibliography==
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<span id='_Ref449344604'></span>
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Citations in text will follow a citation-sequence system (i.e. sources are numbered by order of reference so that the first reference cited in the document is [<span id='cite-1'></span>[[#1|1]]], the second [<span id='cite-2'></span>[[#2|2]]], and so on) with the number of the reference in square brackets. Once a source has been cited, the same number is used in all subsequent references. If the numbers are not in a continuous sequence, use commas (with no spaces) between numbers. If you have more than two numbers in a continuous sequence, use the first and last number of the sequence joined by a hyphen (e.g. [<span id='cite-1'></span>[[#1|1]], <span id='cite-3'></span>[[#3|3]]] or [<span id='cite-2'></span>[[#2|2]]-<span id='cite-2'></span>[[#4|4]]]).
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<span id='_Ref449084254'></span>
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You should ensure that all references are cited in the text and that the reference list. References should preferably refer to documents published in Scipedia. Unpublished results should not be included in the reference list, but can be mentioned in the text. The reference data must be updated once publication is ready. Complete bibliographic information for all cited references must be given following the standards in the field (IEEE and ISO 690 standards are recommended). If possible, a hyperlink to the referenced publication should be given. See examples for Scipedia’s articles [<span id='cite-1'></span>[[#1|1]]], other publication articles [<span id='cite-2'></span>[[#2|2]]], books [<span id='cite-3'></span>[[#3|3]]], book chapter [<span id='cite-4'></span>[[#4|4]]], conference proceedings [<span id='cite-5'></span>[[#5|5]]], and online documents [<span id='cite-6'></span>[[#6|6]]], shown in references section below.
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==4 Acknowledgments==
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Acknowledgments should be inserted at the end of the document, before the references section.
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==5 References==
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<span id='_Ref449083719'></span>
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<div id="1"></div>
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[[#cite-1|[1]]] Author, A. and Author, B. (Year) Title of the article. Title of the Publication. Article code. Available: [http://www.scipedia.com/ucode. http://www.scipedia.com/ucode.]
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<div id="2"></div>
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[[#cite-2|[2]]] Author, A. and Author, B. (Year) Title of the article. Title of the Publication. Volume number, first page-last page.
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<div id="3"></div>
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[[#cite-3|[3]]] Author, C. (Year). Title of work: Subtitle (edition.). Volume(s). Place of publication: Publisher.
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<div id="4"></div>
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[[#cite-4|[4]]] Author of Part, D. (Year). Title of chapter or part. In A. Editor & B. Editor (Eds.), Title: Subtitle of book (edition, inclusive page numbers). Place of publication: Publisher.
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<div id="5"></div>
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[[#cite-5|[5]]] Author, E. (Year, Month date). Title of the article. In A. Editor, B. Editor, and C. Editor. Title of published proceedings. Paper presented at title of conference, Volume number, first page-last page. Place of publication.
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<div id="6"></div>
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[[#cite-6|[6]]] Institution or author. Title of the document. Year. [Online] (Date consulted: day, month and year). Available: [http://www.scipedia.com/document.pdf http://www.scipedia.com/document.pdf]. [Accessed day, month and year].
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Latest revision as of 14:41, 24 October 2017

Abstract

En este trabajo, se estableció una metodología de soporte al diagnostico de la enfermedad de Alzheimer (AD), principalmente en sus etapas de Deterioro Cognitivo Leve (MCI) ocasionado por AD y demencia ocasionada por AD. Para este fin fueron obtenidos casos clínicos de dos proyectos de investigación en demencia del tipo AD de reconocida trayectoria: las bases de datos Alzheimer's Disease Neuroimaging Initiative (ADNI) (www.loni.ucla.edu/ADNI) y la base de datos The Open Access Series of Imaging Studies (OASIS) (http://www.oasis-brains.org/). Asimismo, fueron establecidas dos tareas principales: la selección de variables predictoras de AD y la construcción de modelos de clasificacion basados en máquinas de soporte vectorial (SVM), entrenados a partir de las variables seleccionadas. Las variables predictoras seleccionadas estuvieron conformadas por biomarcadores morfométricos y características socio-demográficas y neuropsicológicas. Estas variables deberan ser útiles para la discriminación de casos clínicos en tres estados: (1) Estado normal (generalmente personas mayores sanas);

(2) Estado MCI ocasionado por AD; y (3) Etapa de demencia ocasionada por AD. Por otro lado, los modelos SVM estarán enfocados a dos tareas principales: (1) Diagnóstico de AD mediante la discriminación entre sujetos sanos y sujetos con AD; y (2) Predicción de AD, orientada a la discriminación de sujetos MCI con riesgo de convertirse a AD y sujetos MCI sin riesgo de conversión. Asimismo, estos modelos deberán garantizar resultados aceptables, respecto a la sensibilidad y especificidad de las tareas de clasificación.


Los resultados obtenidos en esta investigación son prometedores. Por un lado, el subconjunto de variables seleccionadas como relevantes para el diagnóstico de AD, tienen correlación con los resultados de investigaciones previas. Asimismo, en la etapa de testeo, los resultados demostraron que los modelos SVM son de gran utilidad para el soporte diagnóstico clínico de esta enfermedad, siendo capaces de discriminar sujetos con AD de sujetos sanos (diagnóstico) con una exactitud mayor al 99% y distinguir a los sujetos MCI con riesgo de conversión a AD de los sujetos MCI sin riego de conversión (predicción) con una exactitud superior al 94%.


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