Analysis of Skin Cancer and Patient Healthcare Using Data Mining Techniques

<table class="algorithm-group"><tr><td><table class="algorithm" id="alg1"><tr><td>(1)</td><td> Initialize the input images</td></tr><tr><td>(2)</td><td> Evaluate the medical database as per the input images</td></tr><tr><td>(3)</td><td> While (image density &lt; max. no.of inputs)</td></tr><tr><td>(4)</td><td>  for every images in database</td></tr><tr><td>(5)</td><td>   Update the values in image database</td></tr><tr><td>(6)</td><td>   if (input index &lt; image class)</td></tr><tr><td>(7)</td><td>    if (cancer values &lt; maximum image index)</td></tr><tr><td>(8)</td><td>    Modify the image edges as per the detection</td></tr><tr><td>(9)</td><td>   else if (cancer values &gt; maximum input index)</td></tr><tr><td>(10)</td><td>   Perform cancer index of the image input</td></tr><tr><td>(11)</td><td>  Update the values of images</td></tr><tr><td>(12)</td><td> Check the proposed values for input cancer instructions</td></tr><tr><td>(13)</td><td> Classify the cancer type and provide the result</td></tr><tr><td>(14)</td><td> Display the results</td></tr><tr><td>(15)</td><td> Complete the process</td></tr></table></td></tr></table>

<div> Enhanced image analysis technique (EIAT).</div>

Computational Intelligence and Neuroscience

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Algorithm 1

Algorithm 1: Analysis of Skin Cancer and Patient Healthcare Using Data Mining Techniques 