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      Author Correction: A Machine-learning Approach to Forecast Aggravation Risk in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease with Clinical Indicators

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          Abstract

          Correction to: Scientific Reports, 10.1038/s41598-020-60042-1, Published on 20 February 2020 The Article contains errors in Table 4 where the reported results for the “Mild Group (low risk)” and “Severe Group (high risk)” are incorrect. The results for the Mild Group (low risk) should read Male 178 (85.6%), Female 30 (14.4%) and Smoking history (SMK) 163 (78.4%). The results for the Severe Group (high risk) should read Male 163 (80.7%), Female 39 (19.3%) and Smoking history (SMK) 136 (67.3%). The correct Table 4 appears below as Table 1. Table 1 A correct version of the original Table 4. Mild group (low risk) Severe group (high risk) Number of cases 208 (50.7%) 202 (49.3%) Sex Male 178 (85.6%)) 163 (80.7%) Female 30 (14.4%) 39 (19.3%) Smoking history (SMK) 163 (78.4%) 136 (67.3%) Age (year) 79 ± 9 82 ± 9 Number of hospitalizations (NOH) 3.8 ± 2.8 6.3 ± 7.3 Temperature (TEMP) 36.8 ± 0.5 36.7 ± 0.6 Pulse rate (PULSE) 92.5 ± 15.6 98.1 ± 17.6 Respiratory rate (RES) 21.6 ± 3.1 24.5 ± 6 Systolic pressure (SP) 133.2 ± 19.3 132.1 ± 24.7 Diastolic pressure (DP) 76.1 ± 12.2 74.5 ± 13.9 Pulmonary heart disease (PHD) With 36 (17.3%) 65 (32.2%) Without 172 (82.7%) 137 (67.8%) Bronchiectasis (BRCH) With 14 (7%) 8 (4%) Without 194 (93%) 194 (96%) Hypertension (HTN) With 86 (41.3%) 80 (39.6%) Without 122 (58.7%) 122 (60.4%) Diabetes mellitus (DM) With 17 (8.2%) 41 (20.3%) Without 191 (91.8%) 161 (79.7%) Coronary heart disease (CHD) With 21 (10.1%) 36 (17.8%) Without 187 (89.9%) 166 (82.2%) Chronic kidney disease (CKD) With 4 (2%) 36 (2%) Without 204 (98%) 166 (98%) Malignant tumor (MT) With 16 (8%) 20 (10%) Without 192 (92%) 182 (90%) Cerebrovascular disease (CD) With 9 (4%) 8 (4%) Without 199 (96%) 194 (96%) Viral hepatitis (HBV) With 3 (1%) 4 (2%) Without 205 (99%) 198 (98%) Cirrhosis (CRHS) With 1 (0.5%) 1 (0.5%) Without 207 (99.5%) 201 (99.5%)

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          Author and article information

          Contributors
          zhouyuqi@mail.sysu.edu.cn
          luojinx5@mail.sysu.edu.cn
          Journal
          Sci Rep
          Sci Rep
          Scientific Reports
          Nature Publishing Group UK (London )
          2045-2322
          2 March 2021
          2 March 2021
          2021
          : 11
          Affiliations
          [1 ]GRID grid.12981.33, ISNI 0000 0001 2360 039X, School of Data and Computer Science, , Sun Yat-sen University, ; Guangzhou, 510006 China
          [2 ]GRID grid.12981.33, ISNI 0000 0001 2360 039X, The Third Affiliated Hospital, , Sun Yat-sen University, ; Guangzhou, 510640 China
          Article
          76434
          10.1038/s41598-020-76434-2
          7921439
          33649404
          © The Author(s) 2021

          Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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