Machine learning prediction of hepatic encephalopathy for long-term survival after transjugular intrahepatic portosystemic shunt in acute variceal bleeding.

Background: Transjugular intrahepatic portosystemic shunt (TIPS) is an effective intervention for managing complications of portal hypertension, particularly acute variceal bleeding (AVB). While effective in reducing portal pressure and preventing rebleeding, TIPS is associated with a considerable risk of overt hepatic encephalopathy (OHE), a complication that significantly elevates mortality rates.

Aim: To develop a machine learning (ML) model to predict OHE occurrence post-TIPS in patients with AVB using a 5-year dataset.

Retrospective study of effect of whole-body vibration training on balance and walking function in stroke patients.

Background: Dysfunction in stroke patients has been a problem that we committed to solve and explore. Physical therapy has some effect to regain strength, balance, and coordination. However, it is not a complete cure, so we are trying to find more effective treatments.