Task: Data-Imputation (source dataset: tablib)

Please fill in the missing value in the input table. The missing value is denoted by '[MISSING]'. Please only return the value filled in. Do not return the whole table.

No explanation, return the value filled in JSON format: {"value": "filled_value"}. 

Input Table:
|   age |   anaemia |   creatinine_phosphokinase |   diabetes |   ejection_fraction |   high_blood_pressure | platelets   |   serum_creatinine |   serum_sodium |   sex |   smoking |
|------:|----------:|---------------------------:|-----------:|--------------------:|----------------------:|:------------|-------------------:|---------------:|------:|----------:|
|    47 |         0 |                        582 |          0 |                  25 |                     0 | 130000.0    |               0.8  |            134 |     1 |         0 |
|    85 |         0 |                        212 |          0 |                  38 |                     0 | 186000.0    |               0.9  |            136 |     1 |         0 |
|    45 |         0 |                       2442 |          1 |                  30 |                     0 | 334000.0    |               1.1  |            139 |     1 |         0 |
|    50 |         1 |                        298 |          0 |                  35 |                     0 | 362000.0    |               0.9  |            140 |     1 |         1 |
|    58 |         1 |                         57 |          0 |                  25 |                     0 | 189000.0    |               1.3  |            132 |     1 |         1 |
|    58 |         1 |                        400 |          0 |                  40 |                     0 | 164000.0    |               1    |            139 |     0 |         0 |
|    82 |         1 |                        855 |          1 |                  50 |                     1 | 321000.0    |               1    |            145 |     0 |         0 |
|    65 |         0 |                        118 |          0 |                  50 |                     0 | 194000.0    |               1.1  |            145 |     1 |         1 |
|    68 |         1 |                        646 |          0 |                  25 |                     0 | 305000.0    |               2.1  |            130 |     1 |         0 |
|    60 |         1 |                         47 |          0 |                  20 |                     0 | 204000.0    |               0.7  |            139 |     1 |         1 |
|    46 |         0 |                        168 |          1 |                  17 |                     1 | 271000.0    |               2.1  |            124 |     0 |         0 |
|    60 |         1 |                       2281 |          1 |                  40 |                     0 | 283000.0    |               1    |            141 |     0 |         0 |
|    78 |         1 |                         64 |          0 |                  40 |                     0 | 277000.0    |               0.7  |            137 |     1 |         1 |
|    49 |         1 |                         69 |          0 |                  50 |                     0 | 132000.0    |               1    |            140 |     0 |         0 |
|    61 |         1 |                         84 |          0 |                  40 |                     1 | 229000.0    |               0.9  |            141 |     0 |         0 |
|    42 |         0 |                        582 |          0 |                  60 |                     0 | 263358.03   |               1.18 |            137 |     0 |         0 |
|    68 |         1 |                        220 |          0 |                  35 |                     1 | 289000.0    |               0.9  |            140 |     1 |         1 |
|    58 |         0 |                        582 |          1 |                  25 |                     0 | 504000.0    |               1    |            138 |     1 |         0 |
|    78 |         0 |                        224 |          0 |                  50 |                     0 | 481000.0    |               1.4  |            138 |     1 |         1 |
|    65 |         0 |                        224 |          1 |                  50 |                     0 | 149000.0    |               1.3  |            137 |     1 |         1 |
|    65 |         1 |                        720 |          1 |                  40 |                     0 | 257000.0    |               1    |            136 |     0 |         0 |
|    77 |         1 |                        418 |          0 |                  45 |                     0 | 223000.0    |               1.8  |            145 |     1 |         0 |
|    64 |         0 |                       1610 |          0 |                  60 |                     0 | 242000.0    |               1    |            137 |     1 |         0 |
|    60 |         0 |                       2656 |          1 |                  30 |                     0 | 305000.0    |               2.3  |            137 |     1 |         0 |
|    64 |         0 |                        143 |          0 |                  25 |                     0 | 246000.0    |               2.4  |            135 |     1 |         0 |
|    60 |         0 |                       1896 |          1 |                  25 |                     0 | 365000.0    |               2.1  |            144 |     0 |         0 |
|    67 |         0 |                        582 |          0 |                  50 |                     0 | 263358.03   |               1.18 |            137 |     1 |         1 |
|    65 |         0 |                        892 |          1 |                  35 |                     0 | 263358.03   |               1.1  |            142 |     0 |         0 |
|    45 |         0 |                        615 |          1 |                  55 |                     0 | 222000.0    |               0.8  |            141 |     0 |         0 |
|    55 |         0 |                       7861 |          0 |                  38 |                     0 | 263358.03   |               1.1  |            136 |     1 |         0 |
|    40 |         0 |                        478 |          1 |                  30 |                     0 | 303000.0    |               0.9  |            136 |     1 |         0 |
|    63 |         1 |                         61 |          1 |                  40 |                     0 | 221000.0    |               1.1  |            140 |     0 |         0 |
|    60 |         0 |                       2261 |          0 |                  35 |                     1 | 228000.0    |               0.9  |            136 |     1 |         0 |
|    65 |         0 |                        326 |          0 |                  38 |                     0 | 294000.0    |               1.7  |            139 |     0 |         0 |
|    40 |         1 |                        129 |          0 |                  35 |                     0 | 255000.0    |               0.9  |            137 |     1 |         0 |
|    57 |         1 |                        129 |          0 |                  30 |                     0 | 395000.0    |               1    |            140 |     0 |         0 |
|    55 |         0 |                        582 |          1 |                  35 |                     1 | 371000.0    |               0.7  |            140 |     0 |         0 |
|    58 |         0 |                        144 |          1 |                  38 |                     1 | 327000.0    |               0.7  |            142 |     0 |         0 |
|    70 |         0 |                        582 |          0 |                  20 |                     1 | 263358.03   |               1.83 |            134 |     1 |         1 |
|    50 |         1 |                        159 |          1 |                  30 |                     0 | 302000.0    |               1.2  |            138 |     0 |         0 |
|    46 |         0 |                        719 |          0 |                  40 |                     1 | 263358.03   |               1.18 |            137 |     0 |         0 |
|    72 |         0 |                        233 |          0 |                  45 |                     1 | 235000.0    |               2.5  |            135 |     0 |         0 |
|    59 |         1 |                        176 |          1 |                  25 |                     0 | 221000.0    |               1    |            136 |     1 |         1 |
|    62 |         0 |                         61 |          1 |                  38 |                     1 | 155000.0    |               1.1  |            143 |     1 |         1 |
|    60 |         1 |                        257 |          1 |                  30 |                     0 | 150000.0    |               1    |            137 |     1 |         1 |
|    52 |         0 |                        190 |          1 |                  38 |                     0 | 382000.0    |               1    |            140 |     1 |         1 |
|    60 |         0 |                       3964 |          1 |                  62 |                     0 | 263358.03   |               6.8  |            146 |     0 |         0 |
|    50 |         1 |                       1051 |          1 |                  30 |                     0 | 232000.0    |               0.7  |            136 |     0 |         0 |
|    58 |         1 |                        200 |          1 |                  60 |                     0 | 300000.0    |               0.8  |            137 |     0 |         0 |
|    55 |         1 |                       2794 |          0 |                  35 |                     1 | 141000.0    |               1    |            140 |     1 |         0 |
|    51 |         0 |                       1380 |          0 |                  25 |                     1 | 271000.0    |               0.9  |            130 |     1 |         0 |
|    53 |         0 |                        196 |          0 |                  60 |                     0 | 220000.0    |               0.7  |            133 |     1 |         1 |
|    65 |         0 |                        146 |          0 |                  20 |                     0 | [MISSING]   |               1.3  |            129 |     1 |         1 |
|    85 |         1 |                        910 |          0 |                  50 |                     0 | 235000.0    |               1.3  |            134 |     1 |         0 |
|    60 |         1 |                         76 |          1 |                  25 |                     0 | 196000.0    |               2.5  |            132 |     0 |         0 |
|    58 |         0 |                        132 |          1 |                  38 |                     1 | 253000.0    |               1    |            139 |     1 |         0 |
|    50 |         0 |                        124 |          1 |                  30 |                     1 | 153000.0    |               1.2  |            136 |     0 |         1 |
|    75 |         0 |                        119 |          0 |                  50 |                     1 | 248000.0    |               1.1  |            148 |     1 |         0 |
|    80 |         0 |                        776 |          1 |                  38 |                     1 | 192000.0    |               1.3  |            135 |     0 |         0 |
|    50 |         0 |                        318 |          0 |                  40 |                     1 | 216000.0    |               2.3  |            131 |     0 |         0 |



row_idx: 52
col_idx: 6
col_name: platelets
label: 162000.0
output: value: 162000.0
tablib_key: tables/job=github_000005/batch=008354/E7vmeOVb6Wc0elBTV-VWIiXzBikRC19nHnll4qf1zm4=