id label x y cluster weight weight weight score score score 80 air pollution -0.1395 -0.6157 6 10 17 16 2023.3125 5.625 1.3909 112 allergy -0.7847 0.6641 5 7 15 9 2023 13.2222 1.5855 157 artificial intelligence -0.0275 0.1252 1 35 164 91 2023.5165 4.4725 0.9905 160 artificial neural network -0.2153 -0.8088 6 8 12 7 2022.4286 8.4286 0.7921 167 asthma -0.3763 0.1655 5 33 149 125 2023.296 5.848 0.9177 245 big data -0.7952 0.0667 1 8 13 7 2022.8571 5.5714 0.74 265 biomarker -0.6176 0.8056 5 7 14 11 2023.2727 7.5455 0.9521 267 biomarkers -0.9166 0.5735 5 7 14 9 2023.5556 2.3333 0.5117 396 children -0.7307 0.3578 1 6 11 8 2023.5 4 0.9821 419 chronic obstructive pulmonary disease 0.4195 -0.0512 2 26 111 79 2023.3544 4.8228 0.7347 420 chronic obstructive pulmonary disease (copd) 0.6454 -0.1449 2 13 23 20 2023.55 6.25 1.6537 436 classification 0.4912 0.3987 3 14 32 19 2023.4737 5.4737 1.674 513 computed tomography 0.987 0.0637 2 12 41 21 2023.3333 4.1905 0.9291 547 convolutional neural network 0.6965 -0.2921 2 7 13 14 2023.2857 5.5 0.648 550 copd 0.1918 0.1232 3 28 118 86 2023.314 6.3023 1.0359 590 covid-19 0.0638 -0.2302 4 29 72 48 2023.0625 6.625 1.0841 632 data mining 0.8037 0.7239 3 7 10 7 2022.7143 7.2857 0.6548 653 deep learning 0.4712 0.1466 2 28 109 79 2023.3671 6.1013 1.0364 687 diagnosis 0.1587 0.4491 7 8 17 14 2023.5 5.3571 1.1113 819 electronic health records -0.8383 -0.3691 1 9 21 10 2023.4 6.3 0.9351 830 emphysema 0.9449 0.5164 3 7 17 9 2023.1111 7.4444 1.1179 850 ensemble learning 0.6515 0.7548 3 6 12 10 2023.5 12.3 1.4301 869 epidemiology -0.324 -0.4895 4 7 8 9 2023.1111 9.2222 1.323 939 feature selection 0.1287 0.6233 7 5 8 9 2023.4444 3.5556 1.0159 1111 heart failure -0.4099 -0.4399 4 6 8 7 2022.8571 11.4286 1.3315 1370 lung cancer 0.6015 0.0356 2 11 20 13 2023.1538 7.2308 1.2072 1404 machine learning -0.1408 0.0072 1 45 361 290 2023.2828 4.8034 0.911 1535 mortality -0.09 -0.3416 4 13 25 12 2023.4167 3.5833 0.5159 1594 natural language processing -0.8213 -0.1145 1 11 24 11 2022.7273 7.2727 0.6958 1800 pneumonia 0.5996 0.5296 3 9 12 9 2023.4444 11.2222 1.2197 1845 precision medicine -0.8027 0.7823 5 7 13 9 2023.2222 8.8889 1.1694 1850 prediction -0.5461 -0.0662 1 15 44 26 2023.2692 4.7308 1.0624 1851 prediction model 0.2715 -0.5334 4 9 22 14 2023.2143 5.2143 0.6514 1866 predictive models -0.9513 -0.0037 1 10 14 7 2023.4286 4.2857 0.7317 1937 pulmonary function test 0.9257 -0.283 2 9 14 8 2023 2 0.3731 1968 quantitative imaging 1.1024 -0.1785 2 8 18 7 2022.8571 10.5714 1.5725 1978 radiomics 0.9079 -0.1297 2 11 20 12 2023.1667 5.6667 0.9775 1982 random forest -0.0299 -0.7141 6 16 34 21 2023.3333 5.4286 1.1251 2054 respiratory diseases -0.0131 -0.5319 6 14 24 14 2023.9286 2.7143 1.2725 2093 risk factors -1.1241 -0.0594 1 3 6 7 2023.1429 3.5714 0.878 2121 sars-cov-2 -0.2901 -0.3195 4 10 19 9 2023.4444 8.7778 2.3508 2158 severe asthma -0.934 0.2957 1 9 14 12 2023.3333 3.9167 0.5749 2252 spirometry 0.4853 -0.3016 2 14 20 11 2023.0909 6.5455 0.9524 2336 telemedicine 0.3435 -0.7534 4 5 7 8 2023.625 1.25 0.3301 2382 transfer learning 0.7249 0.2257 3 7 10 8 2023.375 11.375 1.6832 2501 xgboost -0.6976 -0.6618 8 7 14 7 2023.5714 2.2857 0.361