Secure messaging telehealth billing in the digital age: moving beyond time-based metrics
Sign Up to like & getrecommendations! Published in 2024 at "Journal of the American Medical Informatics Association : JAMIA"
DOI: 10.1093/jamia/ocae250
Abstract: OBJECTIVE We proposed adopting billing models for secure messaging (SM) telehealth services that move beyond time-based metrics, focusing on the complexity and clinical expertise involved in patient care. MATERIALS AND METHODS We trained 8 classification… read more here.
Keywords: billing; time based; based metrics; beyond time ... See more keywords
Revolutionizing breast cancer monitoring: emerging hematocrit-based metrics – a narrative review
Sign Up to like & getrecommendations! Published in 2025 at "Annals of Medicine and Surgery"
DOI: 10.1097/ms9.0000000000003020
Abstract: Breast cancer remains a leading global health concern, with significant strides made in early detection and treatment. However, effective long-term surveillance, particularly for recurrence and metastasis, remains a clinical challenge. Traditional methods like imaging and… read more here.
Keywords: hematocrit based; based metrics; cancer; breast cancer ... See more keywords
Maximum-entropy-based metrics for quantifying critical dynamics in spiking neuron data.
Sign Up to like & getrecommendations! Published in 2024 at "Physical review. E"
DOI: 10.1103/physreve.110.024401
Abstract: An important working hypothesis to investigate brain activity is whether it operates in a critical regime. Recently, maximum-entropy phenomenological models have emerged as an alternative way of identifying critical behavior in neuronal data sets. In… read more here.
Keywords: maximum entropy; maximum; based metrics; entropy based ... See more keywords
Robustness of Power Distribution System: A Comparative Study of Network and Performance Based Metrics
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3195864
Abstract: Improving the resilience of the power distribution networks is becoming a top priority for the utility companies. Robustness is a key part of resilience, and is often studied through failure-based analysis. Furthermore, with the increasingly… read more here.
Keywords: failure based; based metrics; power; robustness ... See more keywords
Kernel-Based Metrics Learning for Uncertain Opponent Vehicle Trajectory Prediction in Autonomous Racing
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2024.3486178
Abstract: Autonomous racing confronts significant challenges in safely overtaking Opponent Vehicles (OVs) that exhibit uncertain trajectories, stemming from unknown driving policies. To address these challenges, this study proposes heterogeneous kernel metrics for Deep Kernel Learning (DKL),… read more here.
Keywords: driving policies; vehicle; kernel based; prediction ... See more keywords
Comparison of text-based and linked-based metrics in terms of estimating the similarity of articles
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Librarianship and Information Science"
DOI: 10.1177/09610006231165759
Abstract: The aim of this study is to identify the power of text-based metrics (Cosine and Lucene similarity) and linked-based (Co-citation, bibliographic coupling, Amsler, PageRank, and HITS) and their combination in estimating the similarity of articles… read more here.
Keywords: linked based; text based; based metrics; similarity articles ... See more keywords
Step-Based Metrics and Translations of Physical Activity Guidelines Among Adults in the HCHS/SOL.
Sign Up to like & getrecommendations! Published in 2023 at "Medicine and science in sports and exercise"
DOI: 10.1249/mss.0000000000003177
Abstract: PURPOSE In a cross-sectional sample of US Hispanic/Latino adults, we aimed to describe step-based metric distributions, estimate their associations with activity counts and self-report, and calibrate step-based translations of current (2018) US physical activity (PA)… read more here.
Keywords: day; step; steps min; based metrics ... See more keywords
A Review of the Validity and Reliability of Accelerometer-Based Metrics From Upper Back-Mounted GNSS Player Tracking Systems for Athlete Training Load Monitoring.
Sign Up to like & getrecommendations! Published in 2024 at "Journal of strength and conditioning research"
DOI: 10.1519/jsc.0000000000004835
Abstract: ABSTRACT Dawson, L, Beato, M, Devereux, G, and McErlain-Naylor, SA. A review of the validity and reliability of accelerometer-based metrics from upper back-mounted GNSS player tracking systems for athlete training load monitoring. J Strength Cond… read more here.
Keywords: accelerometer based; upper back; load; gnss ... See more keywords
Multi-tensor fixel-based metrics in tractometry: application to multiple sclerosis
Sign Up to like & getrecommendations! Published in 2024 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2024.1467786
Abstract: Traditional Diffusion Tensor Imaging (DTI) metrics are affected by crossing fibers and lesions. Most of the previous tractometry works use the single diffusion tensor, which leads to limited sensitivity and challenging interpretation of the results… read more here.
Keywords: tensor; based metrics; tensor fixel; fixel based ... See more keywords
Spectral- and Image-Based Metrics for Evaluating Cleaning Tests on Unvarnished Painted Surfaces
Sign Up to like & getrecommendations! Published in 2024 at "Coatings"
DOI: 10.3390/coatings14081040
Abstract: Despite advances in conservation–restoration treatments, most surface cleaning tests are subjectively evaluated. Scores according to qualitative criteria are employed to assess results, but these can vary by user and context. This paper presents a range… read more here.
Keywords: cleaning tests; cleaning; spectral image; image based ... See more keywords
Machine Learning Classifier-Based Metrics Can Evaluate the Efficiency of Separation Systems
Sign Up to like & getrecommendations! Published in 2024 at "Entropy"
DOI: 10.3390/e26070571
Abstract: This paper highlights that metrics from the machine learning field (e.g., entropy and information gain) used to qualify a classifier model can be used to evaluate the effectiveness of separation systems. To evaluate the efficiency… read more here.
Keywords: separation; machine learning; efficiency separation; based metrics ... See more keywords