Log In Sign Up
Datasets:
Sandra Rimmer
SRimmer/
Dengue-Hematology
0
Downloads: 2
[6bfbac]: / Dengue Fever Hematological Dataset Clinical Insights for Improved Diagnosis and Patient Management / Dengue-Dataset.csv

Download this file

# Gender Age Hemoglobin(g/dl) Neutrophils(%) Lymphocytes(%) Monocytes(%) Eosinophils(%) RBC HCT(%) MCV(fl) MCH(pg) MCHC(g/dl) RDW-CV(%) Total Platelet Count(/cumm) MPV(fl) PDW(%) PCT(%) Total WBC count(/cumm) Result
1 Male 21 14.8 48 47 3 2 5 48 96 29.6 30.8 11.6 112000 10.7 15.4 0.12 5100 positive
2 Male 30 15 47 49 6 3 5 49.8 96.1 28.4 29.5 11.8 96000 10.6 15.8 0.121 4500 positive
3 Male 51 16.3 41 48 4 5 5 50.1 93.5 31.3 32.7 13.5 184000 10.4 16.4 0.13 6000 negative
4 Female 26 12.3 46 49 7 5 5 44 90 30.5 30.5 14.7 167000 8.1 17.1 0.11 5000 negative
5 Male 35 16.1 45 46 4 4 5 50.53 91 29.12 29.2 15.2 155000 10.52 12.34 0.15 4600 negative
6 Male 67 13.5 50 44 2 2 5 47 89 28.3 29.8 11.1 84000 9.7 14.6 0.101 4100 positive
7 Female 45 12.4 43 42 3 4 4 39 84 27.9 29.13 12.3 92000 10.3 13.6 0.183 4700 positive
8 Female 34 13.4 42 40 3 3 4 40.2 88 28.31 31.4 13.2 90000 8.9 13.6 0.111 4200 positive
9 Female 56 14.7 45 48 7 5 5 44.5 93 30.45 33.61 13.8 177000 10.23 16.1 0.141 5500 negative
10 Female 26 14.1 42 45 3 4 4 45 85 31 32.35 14.15 220000 10 17.6 0.17 6000 negative
11 Male 55 15.7 45 49 3 5 6 49 91 30 32.78 15.6 230000 10.8 15.8 0.14 5000 negative
12 Female 40 11.9 50 41 2 3 4 38.64 97 27.08 29.8 12 80000 9.4 14.39 0.133 4050 positive
13 Female 23 15.4 44 46 5 4 5 44.5 86 31.04 32.13 14 160000 10.37 16.7 0.18 5300 negative
14 Male 47 14.5 47 49 5 5 5 41.06 90 28.44 29.7 13.4 159000 10.2 14.5 0.15 4800 negative
15 Male 33 16.67 47 48 3 4 6 51.15 99 30.65 31.7 14.54 170000 10.71 16.21 0.1 5400 negative
16 Male 37 15.9 44 47 4 5 6 49.5 86 29.9 30.6 15 160000 10.44 17.12 0.16 5700 negative
17 Male 46 17.4 45 41 2 2 5 46.17 91 30.17 31.84 14.3 132000 10.23 15.32 0.162 4400 positive
18 Male 29 16.3 49 42 3 2 5 45.55 85 28.3 29.43 12.14 120000 9.8 14.1 0.192 4500 positive
19 Male 28 15.439 43 46 3 4 5 47.7 95 29.5 30.67 13.8 164000 10.4 16.2 0.2 6500 negative
20 Male 31 15.7 42 48 4 5 5 49.62 99 31.1 32.78 14.57 187000 10.2 15.7 0.16 5000 negative
21 Male 49 16.86 45 46 3 3 5 45.67 94 30 31.43 15.4 171000 10.1 16.13 0.2 7000 negative
22 Female 36 12.35 44 41 2 3 4 40.12 89 28.96 29.08 12.2 132000 8.8 13.5 0.13 4400 positive
23 Male 54 13.3 43 41 2 2 5 45.5 96 28.15 29.88 11.9 120000 9.5 15.6 0.151 4100 positive
24 Male 61 14.6 48 44 2 3 5 44.4 94 28.5 29.64 13.88 142000 10.5 14.87 0.139 4600 positive
25 Male 26 15.3 43 47 3 4 5 48.5 97 30.1 31.67 15.22 194000 10.4 17.44 0.2 5700 negative
26 Male 22 14.3 47 41 2 3 5 44.6 96 28.8 29.56 12.6 83000 10.2 14.7 0.176 4300 positive
27 Male 19 14.76 44 42 2 2 5 43.4 92 28.33 29.91 13.6 95000 10.1 14.34 0.145 4700 positive
28 Male 32 14.32 43 40 2 3 5 44.5 98 28.21 29.53 12.44 91000 10.1 14.56 0.16 4200 positive
29 Female 19 13.23 43 42 2 2 4 41.33 85 29.11 30.26 12.61 88000 10.3 14.15 0.13 4500 positive
30 Female 35 14.13 45 43 2 3 5 43.56 88 29.47 30.98 12.78 111000 10.22 14.08 0.119 4700 positive
31 Male 23 15.26 48 41 3 2 5 45.15 82 29.67 31.45 13.5 144000 10.1 15.34 0.163 4900 positive
32 Male 19 16.44 45 49 3 4 6 50.38 98 30.12 32.48 14.83 174000 10.1 16.35 0.136 7000 negative
33 Female 45 14.32 43 41 3 2 5 46.75 89 29.46 30.55 13.18 105000 9.51 14.52 0.114 4200 positive
34 Male 19 16.24 45 47 4 5 6 48.95 94 30.29 31.66 15.61 160000 10.32 15.25 0.2 6500 negative
35 Male 20 14.63 46 41 2 3 5 47.22 83 28.55 29.34 14.62 91000 10.18 14.11 0.1 5500 positive
36 Male 20 14.28 44 42 3 2 5 49.15 88 28.84 29.43 16.32 141000 10.22 14.52 0.139 4700 positive
37 Male 21 15.11 48 44 3 4 5 46.44 82 29.46 30.81 13.88 90000 10.28 14.72 0.1 4600 positive
38 Male 28 15.41 41 45 4 5 6 48.63 94 30.26 32.56 15.53 182000 10.32 16.12 0.2 7500 negative
39 Male 30 14.64 48 42 3 4 5 45.38 80 29.09 30.47 14.45 130000 10.11 15.23 0.1 4400 positive
40 Male 70 14.82 48 46 4 2 5 46.36 88 28.38 29.48 15.54 144000 10.1 14.79 0.122 5000 positive
41 Female 40 15.12 45 41 3 2 4 44.61 87 29.59 30.82 15.88 82000 10.1 14.82 0.174 5500 positive
42 Female 35 14.77 48 47 3 4 5 46.28 84 28.44 29.31 14.78 99000 10.17 15.54 0.192 4900 positive
43 Male 30 15.84 43 48 3 5 6 48.73 91 30.59 31.73 15.47 192000 10.15 16.81 0.2 6700 negative
44 Male 24 15.26 45 47 4 3 6 49.93 98 31.73 32.48 16.23 186000 10.24 16.33 0.2 6300 negative
45 Male 21 16.56 46 49 4 4 6 48.54 93 30.44 31.64 15.22 171000 10.52 16.14 0.2 7100 negative
46 Male 29 14.86 45 41 3 2 4 43.67 82 28.7 29.45 14.55 72000 10.1 15.25 0.127 4000 positive
47 Male 55 15.96 42 48 4 5 6 49.38 88 30.53 32.41 15.81 162000 10.2 15.63 0.2 6300 negative
48 Male 45 14.471 48 45 3 2 5 45.62 85 29.43 30.26 14.63 88000 10.19 14.34 0.132 5000 positive
49 Female 30 16.21 44 48 4 3 7 48.41 95 31.88 32.66 15.4 191000 10.56 16.33 0.2 6600 negative
50 Male 53 14.48 42 41 3 2 5 43.44 97 29.28 30.62 13.78 79000 10.03 14.98 0.159 4500 positive
51 Female 45 11.3 60 32 5 3 4 39.1 91 26.3 29 15.8 246000 7.5 12.5 0.185 6000 negative
52 Male 5 10.4 34 55 9 2 5 36.3 80 22.9 28.6 13.3 170000 8.3 14.3 0.141 14900 negative
53 Male 35 14.2 60 29 4 3 5 43.71 83 28.98 30.45 12.37 70000 8.14 13.89 0.151 4200 positive
54 Female 29 12.31 55 35 2 2 5 45.42 90 27.77 28.36 14.09 84000 9.04 13.64 0.101 4500 positive
55 Female 22 15.4 45 49 4 5 6 49.09 99 30.12 32.14 16.41 194000 10.07 15.03 0.139 6500 negative
56 Female 41 11.4 51 34 2 3 5 45.93 90 29.01 30.51 12.01 81500 8.81 13.1 0.104 4400 positive
57 Male 23 13.51 49 40 2 2 4 46.07 87 29.33 31.02 13.98 123000 9.08 12.66 0.1 4100 positive
58 Male 37 14.07 50 46 3 2 5 48.92 91 30.14 31.43 13.72 147000 10.11 14.61 0.169 4700 positive
59 Male 59 14.83 47 37 3 2 5 47.28 96 30.74 32.59 14.73 113000 9.52 13.21 0.1 4300 positive
60 Male 24 13.79 50 32 2 2 5 46.11 95 29.03 30 13.18 109000 10.46 13.49 0.196 4400 positive
61 Female 47 11.7 43 30 2 2 5 44.09 89 28.27 29 13.36 72000 8.62 12.04 0.01 4600 positive
62 Male 29 14.67 48 41 2 2 4 46.33 83 27.13 28.09 12.73 84000 9.64 13.87 0.192 4300 positive
63 Male 34 14.62 41 40 3 2 4 46.83 81 30.14 31.89 13.01 89000 10.59 14.55 0.1 4100 positive
64 Male 15 15.14 52 42 3 4 6 44.99 98 31.01 32.31 14.42 117000 10.67 13.79 0.154 4700 positive
65 Male 61 15.29 49 39 3 2 4 45.04 91 29.41 30.63 14.96 127000 9.12 13.69 0.1 4500 positive
66 Male 28 14.73 45 40 4 2 5 46.48 89 30.02 32.71 15.02 131000 8.51 13 0.023 4400 positive
67 Male 39 15.85 47 49 5 6 6 50 97 31 32 15.91 240000 10.89 16.61 0.2 7000 negative
68 Male 37 13.91 50 43 2 3 5 41.02 80 29.09 30.17 13.21 79000 9.39 12.14 0.098 4000 positive
69 Male 11 11 30 50 7 3 5 40 81 24.6 27.08 14.2 161000 10.32 15.3 0.2 13500 negative
70 Female 44 15.5 49 50 5 5 6 49.05 94 30.18 31 16.84 230000 10.43 16.86 0.231 8000 negative
71 Female 29 13.23 49 36 2 3 4 45.09 85 29.01 30 14.71 78000 9.14 14.73 0.11 4000 positive
72 Female 53 11.78 41 34 3 2 5 47.91 84 27.9 28.14 14.41 85000 8.17 14.05 0.134 4200 positive
73 Female 35 12.34 45 39 3 3 5 43.76 82 29.98 30.35 14.71 82000 8.98 14.78 0.051 4500 positive
74 Female 38 13.19 50 41 3 4 5 46.66 89 30.18 31.43 15.05 90000 9.91 14.07 0.1 4300 positive
75 Female 23 14.53 46 38 2 2 4 45.13 84 30.81 32.09 14.99 129000 10.01 15.4 0.1 4500 positive
76 Female 45 15.9 34 49 5 5 6 49.93 98 31.55 32.94 15.45 194000 10.76 16.4 0.22 7500 negative
77 Female 30 13.93 50 41 2 2 5 44.02 81 29 30 14.22 100500 8.81 13.18 0.113 4000 positive
78 Male 18 15.99 48 32 3 2 4 48.09 83 30.17 32.77 14.63 136000 9.54 14.85 0.1 5000 positive
79 Female 26 14.32 42 29 3 2 4 41 88 27.94 28.98 14.84 90000 9.43 15.63 0.1 4300 positive
80 Male 44 14.58 51 30 3 3 5 46.94 81 30.83 31.29 14.76 95000 10.13 15.43 0.1 4500 positive
81 Male 32 15.35 45 34 2 4 5 47.36 84 29.55 30.27 14.95 146000 10.63 14.73 0.178 4800 positive
82 Male 56 16.64 50 39 4 4 6 49.84 99 31.93 32.98 15.97 107000 8.41 15.03 0.133 5000 positive
83 Male 62 15.43 48 31 3 2 4 44.82 83 29.66 30.31 15.04 78000 9.93 14.64 0.149 4800 positive
84 Female 28 14.78 47 43 4 3 4 45.46 86 30.19 31.86 15.89 110000 10.17 15.83 0.199 5500 positive
85 Male 59 15.62 50 45 2 2 6 46.87 90 31.98 32.76 16.81 125000 9.55 16.87 0.121 6500 positive
86 Male 16 16.85 30 50 4 5 7 50 94 30.86 31.97 15.66 250000 10.87 16.45 0.234 8000 negative
87 Female 24 14.98 49 30 3 2 5 44 93 29.39 30.65 14.76 119000 10.08 15.43 0.003 4900 positive
88 Male 28 15.73 45 36 3 3 6 46.93 88 29.65 30.23 14.82 126000 10.53 15.89 0.045 5600 positive
89 Male 33 15.49 48 40 4 2 6 46.08 99 30.47 31.99 15.69 131000 10.62 14.38 0.097 4750 positive
90 Male 56 16.83 52 49 5 3 7 47.09 95 30.76 31.85 15.94 147000 9.02 14.61 0.082 6500 positive
91 Female 20 12.69 48 29 2 3 5 46.77 83 29.42 30.13 13.53 81500 10.49 15.63 0.139 4500 positive
92 Female 59 14.93 31 46 5 5 6 47.84 90 29.08 30.16 15.85 186000 10 16 0.2 8500 negative
93 Male 32 15.09 45 50 3 4 6 46.91 94 30 31.04 15.905 251000 10.321 14.093 0.1345 9000 negative
94 Male 35 15.61 51 36 3 3 4 44.983 86 31.234 32.09 14 139000 9.034 15.032 0.167 6000 positive
95 Male 56 14.95 45 35 2 4 4 45 89 29 30 14.88 98000 8.43 14.82 0.123 4500 positive
96 Male 34 15.95 35 50 5 3 6 49.33 96 29.08 30.314 15.876 194000 10.543 16.43 0.1356 9000 negative
97 Male 38 16.75 40 47 3 4 6 45.621 95 30.362 32.861 16.542 228000 10.004 16.903 0.1 10000 negative
98 Female 34 16.089 45 50 4 5 6 46.742 94 31 32 16.484 221000 10.739 16.451 0.1925 9500 negative
99 Female 39 15.974 32 49 3 2 7 48.045 84 30.385 31.815 16.34 195500 10 15.82 0.1 8000 negative
100 Male 46 11.202 49 34 2 4 6 48.07 93 30.059 31.52 16.3 118000 10.024 16 0.01 6500 positive