Deep Learning-Based Postoperative Recovery and Nursing of Total Hip Arthroplasty

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left">Group</td><td class="align_center">Anemia</td><td class="align_center">Infection</td><td class="align_center">Pressure injury</td><td class="align_center">Overall rate</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">Observation group</td><td class="align_center">1</td><td class="align_center">0</td><td class="align_center">0</td><td class="align_center">2.5%</td></tr><tr><td class="align_left">Control group</td><td class="align_center">1</td><td class="align_center">2</td><td class="align_center">1</td><td class="align_center">10.0%</td></tr><tr><td class="align_left"><svg height="15.2296pt" id="M64" style="vertical-align:-3.6382pt" version="1.1" viewbox="-0.0498162 -11.5914 12.6404 15.2296" width="12.6404pt" 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="M565 434L556 448L482 423L322 189L287 373C280 410 261 448 236 448C207 448 161 415 110 338L131 317C160 355 181 374 193 374C204 374 208 366 217 330C230 279 247 185 259 116L50 -175C18 -223 29 -260 41 -278H51C97 -198 207 -33 270 57L313 -165C328 -235 349 -261 376 -261S445 -244 510 -150L487 -127C444 -178 423 -186 411 -186C402 -186 398 -177 387 -130C371 -62 349 39 332 135C390 217 524 392 565 434Z"></path></g><g transform="matrix(.0091,0,0,-0.0091,7.568,-5.741)"><path d="M414 144C384 79 371 75 317 75H135L276 221C367 316 408 376 408 465C408 570 327 635 237 635C179 635 131 609 100 575L42 494L67 471C94 510 138 565 205 565C277 565 321 517 321 435C321 348 258 270 195 195C146 137 88 81 33 26V0H411C423 44 433 88 446 135L414 144Z"></path></g></svg> value</td><td class="align_left"></td><td class="align_left"></td><td class="align_left"></td><td class="align_center">5.17</td></tr><tr><td class="align_left"><svg height="8.68572pt" id="M65" style="vertical-align:-0.0498209pt" version="1.1" viewbox="-0.0498162 -8.6359 8.15071 8.68572" width="8.15071pt" 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="M600 480C600 590 528 650 384 650H143L137 622C222 614 225 607 210 531L130 127C113 41 106 36 23 28L17 0H294L300 28C204 36 195 42 212 127L243 284L314 263C327 263 339 263 352 264C465 271 600 337 600 480ZM508 481C508 351 402 304 329 304C289 304 265 311 250 317L295 559C302 594 310 606 323 611C335 616 350 619 367 619C455 619 508 573 508 481Z"></path></g></svg> value</td><td class="align_left"></td><td class="align_left"></td><td class="align_left"></td><td class="align_center">0.023</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Computational and Mathematical Methods in Medicine

tab5

Table 5

Table 5: Deep Learning-Based Postoperative Recovery and Nursing of Total Hip Arthroplasty 