--- a +++ b/README.md @@ -0,0 +1,75 @@ +<div class="sc-cmRAlD dkqmWS"><div class="sc-UEtKG dGqiYy sc-flttKd cguEtd"><div class="sc-fqwslf gsqkEc"><div class="sc-cBQMlg kAHhUk"><h2 class="sc-dcKlJK sc-cVttbi gqEuPW ksnHgj">About Dataset</h2></div></div></div><div class="sc-jgvlka jFuPjz"><div class="sc-gzqKSP ktvwwo"><div style="min-height: 80px;"><div class="sc-etVRix jqYJaa sc-bMmLMY ZURWJ"><h3>Sources:</h3> +<p>(a) Original owners od Database:<br> + -- 1. H. Altay Guvenir, PhD., <br> + Bilkent University,<br> + Department of Computer Engineering and Information Science,<br> + 06533 Ankara, Turkey<br> + Phone: +90 (312) 266 4133<br> + Email: <a rel="noreferrer nofollow" href="mailto:guvenir@cs.bilkent.edu.tr">guvenir@cs.bilkent.edu.tr</a></p> +<pre class="uc-code-block"><code> -- <span class="hljs-number">2</span>. Burak Acar, M<span class="hljs-selector-class">.S</span>., + Bilkent University, + EE Eng. Dept. + <span class="hljs-number">06533</span> Ankara, Turkey + Email: buraka@ee<span class="hljs-selector-class">.bilkent</span><span class="hljs-selector-class">.edu</span><span class="hljs-selector-class">.tr</span> + + -- <span class="hljs-number">2</span>. Haldun Muderrisoglu, M<span class="hljs-selector-class">.D</span>., Ph<span class="hljs-selector-class">.D</span>., + Baskent University, + School of Medicine + Ankara, Turkey +</code><div class="uc-code-block-copy-button-wrapper"><button class="uc-code-block-copy-button google-symbols" aria-label="Copy code">content_copy</button></div></pre> +<p>(b) Donor: H. Altay Guvenir<br> + Bilkent University,<br> + Department of Computer Engineering and Information Science,<br> + 06533 Ankara, Turkey<br> + Phone: +90 (312) 266 4133<br> + Email: <a rel="noreferrer nofollow" href="mailto:guvenir@cs.bilkent.edu.tr">guvenir@cs.bilkent.edu.tr</a></p> +<p>(c) Date: January, 1998</p> +<h3>Past Usage:</h3> +<ol> +<li><p>H. Altay Guvenir, Burak Acar, Gulsen Demiroz, Ayhan Cekin<br> + "A Supervised Machine Learning Algorithm for Arrhythmia Analysis"<br> + Proceedings of the Computers in Cardiology Conference, <br> + Lund, Sweden, 1997.</p> +<p>The aim is to determine the type of arrhythmia from <br> + the ECG recordings.</p></li> +</ol> +<h3>Relevant Information:</h3> +<p>This database contains 279 attributes, 206 of which are linear<br> + valued and the rest are nominal. </p> +<pre class="uc-code-block"><code> <span class="hljs-type">Concerning</span> the study of <span class="hljs-type">H</span>. <span class="hljs-type">Altay</span> <span class="hljs-type">Guvenir</span>: <span class="hljs-comment">"The aim is to distinguish + between the presence and absence of cardiac arrhythmia and to + classify it in one of the 16 groups. Class 01 refers to 'normal' + ECG classes 02 to 15 refers to different classes of arrhythmia + and class 16 refers to the rest of unclassified ones. For the + time being, there exists a computer program that makes such a + classification. However there are differences between the + cardiolog's and the programs classification. Taking the + cardiolog's as a gold standard we aim to minimise this difference + by means of machine learning tools."</span> + + <span class="hljs-type">The</span> names and id numbers of the patients were recently + removed from the database. +</code><div class="uc-code-block-copy-button-wrapper"><button class="uc-code-block-copy-button google-symbols" aria-label="Copy code">content_copy</button></div></pre> +<h3>Number of Instances: 452</h3> +<h3>Number of Attributes: 279</h3> +<h3>Class Distribution:</h3> +<pre class="uc-code-block"><code> <span class="hljs-attribute">Database</span>: Arrhythmia + + <span class="hljs-attribute">Class</span> code : Class : Number of instances: + <span class="hljs-attribute">01</span> Normal <span class="hljs-number">245</span> + <span class="hljs-attribute">02</span> Ischemic changes (Coronary Artery Disease) <span class="hljs-number">44</span> + <span class="hljs-attribute">03</span> Old Anterior Myocardial Infarction <span class="hljs-number">15</span> + <span class="hljs-attribute">04</span> Old Inferior Myocardial Infarction <span class="hljs-number">15</span> + <span class="hljs-attribute">05</span> Sinus tachycardy <span class="hljs-number">13</span> + <span class="hljs-attribute">06</span> Sinus bradycardy <span class="hljs-number">25</span> + <span class="hljs-attribute">07</span> Ventricular Premature Contraction (PVC) <span class="hljs-number">3</span> + <span class="hljs-attribute">08</span> Supraventricular Premature Contraction <span class="hljs-number">2</span> + <span class="hljs-attribute">09</span> Left bundle branch block <span class="hljs-number">9</span> + <span class="hljs-attribute">10</span> Right bundle branch block <span class="hljs-number">50</span> + <span class="hljs-attribute">11</span> <span class="hljs-number">1</span>. degree AtrioVentricular block <span class="hljs-number">0</span> + <span class="hljs-attribute">12</span> <span class="hljs-number">2</span>. degree AV block <span class="hljs-number">0</span> + <span class="hljs-attribute">13</span> <span class="hljs-number">3</span>. degree AV block <span class="hljs-number">0</span> + <span class="hljs-attribute">14</span> Left ventricule hypertrophy <span class="hljs-number">4</span> + <span class="hljs-attribute">15</span> Atrial Fibrillation or Flutter <span class="hljs-number">5</span> + <span class="hljs-attribute">16</span> Others <span class="hljs-number">22</span> +</code><div class="uc-code-block-copy-button-wrapper"><button class="uc-code-block-copy-button google-symbols" aria-label="Copy code">content_copy</button></div></pre></div></div></div> \ No newline at end of file