Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Cardiovascular Disease s and Conditions - Upper Extremity Deep Vein Thrombosis is the subject of a repo rt. According to news originating from Chengdu, People's Republic of China, by N ewsRx correspondents, research stated, "To establish a prediction model of upper extremity deep vein thrombosis (UEDVT) associated with peripherally inserted ce ntral catheter (PICC) based on machine learning (ML), and evaluate the effect. 4 52 patients with malignant tumors who underwent PICC implantation in West China Hospital from April 2021 to December 2021 were selected through convenient sampl ing." Our news journalists obtained a quote from the research from Sichuan University, "UEDVT was detected by ultrasound. Machine learning models were established usi ng the least absolute contraction and selection operator (LASSO) regression algo rithm: Seeley scale model (ML-Seeley-LASSO) and ML model. The information of pat ients with and without UEDVT was randomly allocated to the training set and test set of the two models, and the prediction effect of machine learning and existi ng prediction tools was compared. Machine learning training set and test set wer e better than Seeley evaluation results, and MLSeeley- LASSO performance in trai ning set was better than ML-LASSO. The performance of ML-LASSO in the test set i s better than that of ML-Seeley-LASSO. The use of ML model (ML-LASSO and MLSeel ey-LASSO) in PICC-related UEDVT shows good effectiveness (the area under the sub ject's working characteristic curve is 0.856, 0.799), which is superior to the c urrently used Seeley assessment tool."
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