Results 231 to 240 of about 9,308,983 (309)

On the Limitations of the Decision-Theory Approach to System Optimization [PDF]

, 1960
David Van Meter
openalex   +1 more source

Precision‐Optimised Post‐Stroke Prognoses

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Current medicine cannot confidently predict who will recover from post‐stroke impairments. Researchers have sought to bridge this gap by treating the post‐stroke prognostic problem as a machine learning problem, reporting prediction error metrics across samples of patients whose outcomes are known.
Thomas M. H. Hope, Howard Bowman, Rachel M. Bruce, Alex P. Leff, Cathy J. Price   +4 more
wiley   +1 more source

Design of the multi-material structure using an MMC-SIMP sequential topology optimization method. [PDF]

PLoS One
Li Z, Xu H, Zhang S, Cui J, Liu X.
europepmc   +1 more source

Optimizing the Radar Detection of Clear Air Turbulence

, 1966
David Atlas, Kenneth R. Hardy, Keikichi Naito   +2 more
openalex   +2 more sources

An Analysis for IDH‐Mutant Grade 4 Astrocytoma Based on WHO CNS 5: Implication of Clinical Practice

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Purpose There is ongoing debate regarding the therapeutic approach and prognosis for IDH‐mutant grade 4 astrocytoma, a newly defined subtype of diffuse glioma in the 2021 WHO classification system for central nervous system tumors (WHO CNS 5). The aim of this study was to explore the clinical outcome and prognosticators for newly diagnosed IDH‐
Xianxin Qiu, Liping Liang, Lingchao Chen, Pengjie Hong, Wanzun Lin, Jiabing Liu, Zhirui Zhou, Wenjia Zhu, Tianqi Wu, Mingyuan Pan, Yihua Zhong, Jing Gao, Zhiyong Qin, Yang Wang   +13 more
wiley   +1 more source

Tailored knowledge distillation with automated loss function learning. [PDF]

PLoS One
Ran S, Huang T, Yang W.
europepmc   +1 more source

Actionable Wearables Data for the Neurology Clinic: A Proof‐of‐Concept Tool

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Wearable devices can monitor key health and fitness domains. In multiple sclerosis (MS), monitoring step count and sleep is feasible, valid, and offers a holistic glimpse of patient functioning and worsening. However, data generated from wearables are typically unavailable at the point of care.
Nicolette Miller, Ebenezer Chinedu‐Eneh, Jaeleene Wijangco, Kyra Henderson, Nikki Sisodia, Narender Sara, Jennifer Reihm, Shane Poole, Jim Rowson, Chu‐Yueh Guo, Jeffrey M. Gelfand, Valerie J. Block, Riley Bove   +12 more
wiley   +1 more source

Multi-criteria decision model for multicircular flight control of unmanned aerial vehicles through a hybrid approach. [PDF]

Sci Rep
Basil N, Marhoon HM, Sabbar BM, Mohammed AF, Albahri O, Albahri A, Alamoodi A, Sharaf IM, Amsal AM, Ahmed M, Ali E, Ghoneim SSM.   +11 more
europepmc   +1 more source

Comparison of methods for tuning machine learning model hyper-parameters: with application to predicting high-need high-cost health care users. [PDF]

BMC Med Res Methodol
Meaney C, Wang X, Guan J, Stukel TA.
europepmc   +1 more source

Optimization and Analysis of Plates with a Variable Stiffness Distribution in Terms of Dynamic Properties. [PDF]

Materials (Basel)
Domagalski Ł, Kowalczyk I.
europepmc   +1 more source