The Association between All-cause Mortality and Obstructive Sleep Apnea in Adults: A U-Shaped Curve.

Rationale And Objectives: The relationship between Sleep Apnea (SA) and mortality remains a topic of debate. We explored the relationship between the severity of SA and mortality and the effect of age on this association.

Methods: Using a Veterans' database, we extracted the apnea-hypopnea index (AHI) from physician interpretation of sleep studies, by developing a Natural Language Processing (NLP) pipeline (with 944 manually annotated notes) which achieved more than 85% accuracy.

Socio-economic evaluation of human-dog coexistence: A 40,000 years history.

The human-animal relationship and its benefits have been a popular issue in recent decades. This study focuses on the dog as a paradigmatic example of this complex bond. The relationship between human and dog evolved over thousands of years through the domestication process.

A Multi-Institutional Natural Language Processing Pipeline to Extract Performance Status From Electronic Health Records.

Purpose: Performance status (PS), an essential indicator of patients' functional abilities, is often documented in clinical notes of patients with cancer. The use of natural language processing (NLP) in extracting PS from electronic medical records (EMRs) has shown promise in enhancing clinical decision-making, patient monitoring, and research studies. We designed and validated a multi-institute NLP pipeline to automatically extract performance status from free-text patient notes.

Cost and Time Reduction of Industrial Mold Design and Manufacturing by Implementing Additive Manufacturing for Premature Neonatal Prong.

Introduction: For a long time, molding was one of the most important methods of producing metal, ceramic, and polymer materials. The two essential factors in this method were always cost and time. Technology advancements have made it possible to design in 3D using a computer and additive manufacturing.

Age modulates the predictive value of self-reported sleepiness for all-cause mortality risk: insights from a comprehensive national database of veterans.

Study Objectives: Excessive daytime sleepiness is prevalent and overwhelmingly stems from disturbed sleep. We hypothesized that age modulates the association between excessive daytime sleepiness and increased all-cause mortality.

Methods: We utilized the Veterans' Health Administration data from 1999-2022.