[Retracted] Analysis of Structured Data in Biomedicine Using Soft Computing Techniques and Computational Analysis

<div>The optimal accuracy (<span class="nowrap"><svg height="5.97156pt" id="M279" style="vertical-align:-0.04980993pt" version="1.1" viewbox="-0.0498162 -5.92175 5.37134 5.97156" width="5.37134pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M220 349V455C158 436 98 425 38 417V389C85 378 92 374 92 323V104C92 43 83 38 28 32V0H302V32C225 38 220 43 220 104V291C237 330 257 343 276 343C292 343 305 336 322 322C329 316 339 313 353 318C379 328 402 356 402 392C402 426 374 454 335 454C297 454 259 411 222 349H220Z"></path></g></svg>)</span> of the MD-MWFCM with varying fuzzy coefficient <svg height="6.1673pt" id="M280" style="vertical-align:-0.2063904pt" version="1.1" viewbox="-0.0498162 -5.96091 7.51131 6.1673" width="7.51131pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M545 106L524 126C493 85 467 65 455 65C438 65 427 113 405 238C448 295 498 362 543 439L533 448L478 435C453 386 423 331 398 295H395C370 404 347 448 282 448C169 448 23 309 23 153C23 54 65 -12 128 -12C203 -12 283 70 339 155H341C360 29 380 -12 411 -12C444 -12 491 11 545 106ZM333 204C265 95 210 54 169 54C137 54 113 96 113 171C113 302 191 405 252 405C301 405 318 306 333 204Z"></path></g></svg> for the heart disease dataset.</div>

Computational Intelligence and Neuroscience

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Figure 4

Figure 4: [Retracted] Analysis of Structured Data in Biomedicine Using Soft Computing Techniques and Computational Analysis 