Results 131 to 140 of about 746,368 (310)

Quantification of the Learning Curve for Percutaneous Dilatational Tracheotomy [PDF]

, 2000
Douglas D. Massick, David M. Powell, Phillip D. Price, Susan L. Chang, Gregory Squires, L. Arick Forrest, Donn C. Young   +6 more
openalex   +1 more source

Sequence Analysis to Phenotype Health Care Patterns in Adults With Musculoskeletal Conditions Using Primary Care Electronic Health Records

Arthritis Care &Research, EarlyView.
Objective The aim of this study was to apply sequence analysis (SA) to phenotype health care patterns of adult patients with musculoskeletal (MSK) conditions using primary care electronic health records and to investigate the association between these health care patterns and patients’ self‐reported outcomes after consultation.
Smitha Mathew, George Peat, Emma Parry, Ross Wilkie, Kelvin P. Jordan, Jonathan C. Hill, Dahai Yu   +6 more
wiley   +1 more source

Physical and mechanical principles of phacoemulsification and their clinical relevance

Indian Journal of Ophthalmology, 1997
A clear understanding of the physical and mechanical principles that govern phacoemulsification can facilitate usage of this technique for effective and efficient cataract removal in a variety of clinical situations.
Yow Lindy, Basti Surendra
doaj  

The learning curve [PDF]

Australian Veterinary Journal, 1996
openaire   +2 more sources

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

Performance Triggered Adaptive Model Reduction for Soil Moisture Estimation in Precision Irrigation

International Journal of Adaptive Control and Signal Processing, EarlyView.
ABSTRACT Accurate soil moisture information is essential for precise irrigation to enhance water use efficiency. Estimating soil moisture based on limited soil moisture sensors is especially critical for obtaining comprehensive soil moisture information when dealing with large‐scale agricultural fields.
Sarupa Debnath, Bernard Twum Agyeman, Soumya Ranjan Sahoo, Xunyuan Yin, Jinfeng Liu   +4 more
wiley   +1 more source

Room A, 10/16/2000 2: 00 PM - 4: 00 PM (PS) Influence of the Learning Curve on the Quality of Cervical Block [PDF]

, 2000
Jean Claude Merle, Nor-Eddine Saidi, L Yakhou, Alexandre D'audiffret, Gilles Dhonneur   +4 more
openalex   +1 more source

Fault, error, and failure

Journal of Applied Clinical Medical Physics, EarlyView.
Mohammad Bakhtiari
wiley   +1 more source

Scaling Up Synthetic Cell Production Using Robotics and Machine Learning Toward Therapeutic Applications

Advanced Biology, EarlyView.
Synthetic cells (SCs) hold great promise for biomedical applications, but manual production limits scalability. This study presents an automated method for large‐scale SC synthesis, integrating robotic liquid handling and machine learning‐driven high‐throughput characterization.
Noga Sharf‐Pauker, Ido Galil, Omer Kfir, Gal Chen, Rotem Menachem, Jeny Shklover, Avi Schroeder, Shanny Ackerman   +7 more
wiley   +1 more source

A Metric-based Principal Curve Approach for Learning One-dimensional Manifold [PDF]

arXiv
Principal curve is a well-known statistical method oriented in manifold learning using concepts from differential geometry. In this paper, we propose a novel metric-based principal curve (MPC) method that learns one-dimensional manifold of spatial data.
arxiv