scispace - formally typeset
K

Kendra K. Schmid

Researcher at University of Nebraska Medical Center

Publications -  86
Citations -  3267

Kendra K. Schmid is an academic researcher from University of Nebraska Medical Center. The author has contributed to research in topics: Cancer & Gait. The author has an hindex of 21, co-authored 85 publications receiving 2530 citations. Previous affiliations of Kendra K. Schmid include Boys Town & Nebraska Medical Center.

Papers
More filters
Journal ArticleDOI

The Appropriate Use of Approximate Entropy and Sample Entropy with Short Data Sets

TL;DR: The results demonstrate that both ApEn and SampEn are extremely sensitive to parameter choices, especially for very short data sets, N ≤ 200, and should be used with extreme caution when choosing parameters for experimental studies with both algorithms.
Journal ArticleDOI

Effectiveness and safety of the awakening and breathing coordination, delirium monitoring/management, and early exercise/mobility bundle.

TL;DR: Critically ill patients managed with the Awakening and Breathing Coordination, Delirium monitoring/management, and Early exercise/mobility bundle spent three more days breathing without assistance, experienced less delirium, and were more likely to be mobilized during their ICU stay than patients treated with usual care.
Journal ArticleDOI

Development and Initial Validation of the Risk Analysis Index for Measuring Frailty in Surgical Populations.

TL;DR: The RAi-C and RAI-A represent effective tools for measuring frailty in surgical populations with predictive ability on par with other frailty tools and Moderate correlation between the measures suggests convergent validity.
Journal ArticleDOI

Association of a Frailty Screening Initiative With Postoperative Survival at 30, 180, and 365 Days

TL;DR: Implementation of the FSI was associated with reduced mortality, suggesting the feasibility of widespread screening of patients preoperatively to identify frailty and the efficacy of system-level initiatives aimed at improving their surgical outcomes.
Journal ArticleDOI

Computation of a face attractiveness index based on neoclassical canons, symmetry, and golden ratios

TL;DR: The role of symmetry, neoclassical canons, and golden ratio in the determination of attractiveness of a face is analyzed and the model developed to predict the attractiveness of the face using its geometry is accurate with low residual errors.