Results 71 to 80 of about 9,222 (301)

Artificial intelligence‐based echocardiographic assessment for monitoring disease progression in transthyretin cardiac amyloidosis

European Journal of Heart Failure, EarlyView.
Artificial intelligence (AI)‐based estimation of stroke volume for risk prediction in amyloid transthyretin cardiomyopathy (ATTR‐CM). ATTRv, hereditary transthyretin amyloidosis; ATTRwt, wild‐type transthyretin amyloidosis; CI, confidence interval; HR, hazard ratio; IQR, interquartile range; LVOT‐VTI, left ventricular outflow tract velocity‐time ...
Lucia Venneri, Alberto Aimo, Aldostefano Porcari, Irem Sezer, Adam Ioannou, Awais Sheikh, Josephine Mansell, Yousuf Razvi, Surabhi Bhaskar Iyer, Ana Martinez‐Naharro, Francesco Bandera, Sze Chi Lim, Matthew Frost, Justin Ezekowitz, Carolyn S.P. Lam, William Moody, Carol Whelan, Helen Lachmann, Ashutosh Wechelakar, Michele Emdin, Philip N. Hawkins, Scott David Solomon, Julian D. Gillmore, Marianna Fontana   +23 more
wiley   +1 more source

The Curse of Dimensionality [PDF]

Anesthesiology, 2018
Niketu P, Patel, Elie, Sarraf, Mitchell H, Tsai   +2 more
openaire   +2 more sources

Unsupervised machine learning for cardiovascular disease: A framework for future studies

European Journal of Heart Failure, EarlyView.
Unsupervised machine learning can improve the characterization and stratification of patients with cardiovascular diseases (CVDs). Clustering algorithms, which group patients based on patterns in clinical data, can reveal distinct subgroups that may differ in prognosis and treatment response.
Emmanuel Bresso, Claire Lacomblez, Kévin Duarte, Luca Monzo, Guillaume Baudry, Jasper Tromp, Abhinav Sharma, Nicolas Girerd   +7 more
wiley   +1 more source

Deep Forest Reinforcement Learning for Preventive Strategy Considering Automatic Generation Control in Large-Scale Interconnected Power Systems

Applied Sciences, 2018
To reduce occurrences of emergency situations in large-scale interconnected power systems with large continuous disturbances, a preventive strategy for the automatic generation control (AGC) of power systems is proposed.
Linfei Yin, Lulin Zhao, Tao Yu, Xiaoshun Zhang   +3 more
doaj   +1 more source

Identification Environment, School Identification and School Burnout: Multilevel Models

European Journal of Social Psychology, EarlyView.
ABSTRACT Most research on well‐being in social psychology has focused on individuals. Based on the social identity approach to health, we examined how the average strength of social identification within a group—a measure of the ‘identification environment’—affects group members’ burnout symptoms and moderates the association between their social ...
Eerika Finell, Asko Tolvanen, Kevin Durrheim, Katariina Salmela‐Aro, Hanne Kivimäki   +4 more
wiley   +1 more source

The curse(s) of dimensionality [PDF]

Nature Methods, 2018
Naomi Altman, Martin Krzywinski
openaire   +1 more source

Assessing Barriers to Adoption of Battery Electric Vehicles Using Decision‐Making Trial and Evaluation Laboratory Combined With Analytic Network Process

Energy Science &Engineering, EarlyView.
The study analyzes barriers to electric vehicle growth in India using DEMATEL and ANP. It distinguishes cause‐and‐effect barriers and ranks them. Major barriers include poor charging infrastructure and high costs. ABSTRACT This study employs a hybrid technique based on the Decision‐Making Trial Evaluation Laboratory (DEMATEL), Analytic Network Process (
Sanjeev Kumar, Dinesh Yadav, Prabhu Paramasivam, Swathi Gowroju, Rupesh Gupta, Praveen Kumar Kanti, Leliso Hobicho Dabelo   +6 more
wiley   +1 more source

Characterization of Multimodality in Wind Farm Layout Optimization

Energy Science &Engineering, EarlyView.
ABSTRACT The phenomena of multiple optima in wind farm layout optimization (WFLO) problems is investigated. The choice of optimization algorithm and cost of solving WFLO problems is driven by the degree of local optimality in the design space; however little work has attempted to characterize this.
Daniel J. Poole
wiley   +1 more source

Nearest neighbour imputation under single index models

Statistical Theory and Related Fields, 2019
A popular imputation method used to compensate for item nonresponse in sample surveys is the nearest neighbour imputation (NNI) method utilising a covariate to defined neighbours.
Jun Shao, Lei Wang
doaj   +1 more source

Escaping The Curse of Dimensionality in Bayesian Model-Based Clustering. [PDF]

J Mach Learn Res, 2023
Chandra NK, Canale A, Dunson DB.
europepmc   +1 more source