scholarly journals Decision Tree Analysis on the Factors Influencing the COI of Infantile Bronchopneumonia Inpatients in a Northern Hospital of China

2019 ◽  
Author(s):  
dongmei pei ◽  
YANGYANG YUE ◽  
jiakai guo ◽  
qiyong guo

Abstract Background: Bronchopneumonia is a disease with a high death rate for children in developing countries. It not only affects the healthy growth of children, but also puts economic pressure and additional burdens on their families and society. Social development and advancement may change the factors influencing the hospitalization costs. This study aimed to explore reasonable cost control approaches by analyzing the factors related to unreasonable increases in medical costs, so as to standardize the diagnosis and treatment behaviors and determine management methods for scientific medical costs. Methods: Using the decision tree analysis method combined with the characteristic variables of inpatients, data mining and analysis were performed on the assortment of charges for15,980infantile bronchopneumonia inpatients in a northern hospital of China during January 2013 to December 2017. Results: The medical costs of infantile bronchopneumonia inpatients tended to decrease year by year. Various factors influencing the hospitalization costs were sequenced in order of decreasing importance: salvage, complications, admission condition, discharge condition, hospital stay, age and medical payment mode. The hospitalization cost of 623(78.5%) patients with salvage during hospitalization was >RMB 10,000. Hospitalization cost of

Diagnostics ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1094
Author(s):  
Michael Wong ◽  
Nikolaos Thanatsis ◽  
Federica Nardelli ◽  
Tejal Amin ◽  
Davor Jurkovic

Background and aims: Postmenopausal endometrial polyps are commonly managed by surgical resection; however, expectant management may be considered for some women due to the presence of medical co-morbidities, failed hysteroscopies or patient’s preference. This study aimed to identify patient characteristics and ultrasound morphological features of polyps that could aid in the prediction of underlying pre-malignancy or malignancy in postmenopausal polyps. Methods: Women with consecutive postmenopausal polyps diagnosed on ultrasound and removed surgically were recruited between October 2015 to October 2018 prospectively. Polyps were defined on ultrasound as focal lesions with a regular outline, surrounded by normal endometrium. On Doppler examination, there was either a single feeder vessel or no detectable vascularity. Polyps were classified histologically as benign (including hyperplasia without atypia), pre-malignant (atypical hyperplasia), or malignant. A Chi-squared automatic interaction detection (CHAID) decision tree analysis was performed with a range of demographic, clinical, and ultrasound variables as independent, and the presence of pre-malignancy or malignancy in polyps as dependent variables. A 10-fold cross-validation method was used to estimate the model’s misclassification risk. Results: There were 240 women included, 181 of whom presented with postmenopausal bleeding. Their median age was 60 (range of 45–94); 18/240 (7.5%) women were diagnosed with pre-malignant or malignant polyps. In our decision tree model, the polyp mean diameter (≤13 mm or >13 mm) on ultrasound was the most important predictor of pre-malignancy or malignancy. If the tree was allowed to grow, the patient’s body mass index (BMI) and cystic/solid appearance of the polyp classified women further into low-risk (≤5%), intermediate-risk (>5%–≤20%), or high-risk (>20%) groups. Conclusions: Our decision tree model may serve as a guide to counsel women on the benefits and risks of surgery for postmenopausal endometrial polyps. It may also assist clinicians in prioritizing women for surgery according to their risk of malignancy.


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