Length of hospital stay prediction with an integrated approach of statistical-based fuzzy cognitive maps and artificial neural networks.

Chronic obstructive pulmonary disease (COPD) is a global burden, which is estimated to be the third leading cause of death worldwide by 2030. The economic burden of COPD grows continuously because it is not a curable disease. These conditions make COPD an important research field of artificial intelligence (AI) techniques in medicine. In this study, an integrated approach of the statistical-based fuzzy cognitive maps (SBFCM) and artificial neural networks (ANN) is proposed for predicting length of hospital stay of patients with COPD, who admitted to the hospital with an acute exacerbation. The SBFCM method is developed to determine the input variables of the ANN model. The SBFCM conducts statistical analysis to prepare preliminary information for the experts and then collects expert opinions accordingly, to define a conceptual map of the system. The integration of SBFCM and ANN methods provides both statistical data and expert opinion in the prediction model. In the numerical application, the proposed approach outperformed the conventional approach and other machine learning algorithms with 79.95% accuracy, revealing the power of expert opinion involvement in medical decisions. A medical decision support framework is constructed for better prediction of length of hospital stay and more effective hospital management.

Comparison of total thyroidectomy, bilateral subtotal thyroidectomy and Dunhill operations in the treatment of benign thyroid disorders.

AIM: The surgical treatment of benign thyroid disease is still controversial. Many treatment modalities have been described for the surgical management of various thyroid diseases, including excision, bilateral subtotal thyroidectomy (BST), near-total thyroidectomy, and total thyroidectomy (TT). METHODS: Hospital records were reviewed for 2863 patients who underwent thyroid surgery for presumed multinodular goiter (MNG) between 1990 and 2009. However, due to the inefficiency of the hospital archive system, we were able to access detailed personal and surgical information for only 803 patients. RESULTS: Of the 803 patients, 227 (28.3%) underwent DP, 228 (28.4%) BST and 348 (43.3%) TT operations. While there were no complications in 683 (85.1%) of the 803 operations, complications developed with 120 (14.9%). A definite difference between TT and the other (BST and DP) types of operation in relation to complications. The duration of hospital stay was 2.2±0.4 days for the BST group, 2.2 ± 0.4 days for the DP group and 2.3 ± 0.7 days for the TT group. There was a significant difference among all three groups. Recurrence rates of the operations performed were 35 (15.3%), 20 (8.8%) and 4 (1.15%), respectively, for BST, DP and TT. There was significant difference between the recurrence rates of TT and BST, and between TT and DP. CONCLUSION: When the frequency of complications in recurrent operations and the malignity possibility of the thyroid tissue left behind are taken into consideration, we believe that TT will be more beneficial in the surgical treatment of benign thyroid disorders.