Development of a Neurodegenerative Disease Gait Classification Algorithm Using Multiscale Sample Entropy and Machine Learning Classifiers.

The prevalence of neurodegenerative diseases (NDD) has grown rapidly in recent years and NDD screening receives much attention. NDD could cause gait abnormalities so that to screen NDD using gait signal is feasible. The research aim of this study is to develop an NDD classification algorithm via gait force (GF) using multiscale sample entropy (MSE) and machine learning models.

Undiagnosed pancreatic exocrine insufficiency and chronic pancreatitis in functional GI disorder patients with diarrhea or abdominal pain.

Background And Aim: A previous UK study showed that 6.1% of patients with diarrhea-predominant irritable bowel syndrome (IBS-D) had evidence of severe pancreatic exocrine insufficiency (PEI), but these findings need replication. We aimed to identify the prevalence of PEI based on fecal elastase stool testing in consecutive outpatients presenting with chronic unexplained abdominal pain and/or diarrhea and/or IBS-D.