Parallel tempered genetic algorithm guided by deep neural networks for inverse molecular design
, 2022 AkshatKumar Nigam +2 more
openalex +2 more sources
Diffusion Tractography Biomarker for Epilepsy Severity in Children With Drug‐Resistant Epilepsy
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To develop a novel deep‐learning model of clinical DWI tractography that can accurately predict the general assessment of epilepsy severity (GASE) in pediatric drug‐resistant epilepsy (DRE) and test if it can screen diverse neurocognitive impairments identified through neuropsychological assessments.
Jeong‐Won Jeong +7 more
wiley +1 more source
Estimating Forest Aboveground Biomass Using Gaofen-1 Images, Sentinel-1 Images, and Machine Learning Algorithms: A Case Study of the Dabie Mountain Region, China [PDF]
, 2021 Haoshuang Han, Rongrong Wan, Bing Li
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background There is growing recognition of the potential of plasma proteomics for Alzheimer's Disease (AD) risk assessment and disease characterization. However, differences between proteomics platforms introduce uncertainties regarding cross‐platform applicability.
Manyue Hu +9 more
wiley +1 more source
Effect of a sepsis prediction algorithm on patient mortality, length of stay and readmission: a prospective multicentre clinical outcomes evaluation of real-world patient data from US hospitals [PDF]
, 2020 Hoyt Burdick +11 more
openalex +1 more source
A Survey on Distributed Fibre Optic Sensor Data Modelling Techniques and Machine Learning Algorithms for Multiphase Fluid Flow Estimation [PDF]
, 2021 Hasan Asyari Arief +2 more
openalex +1 more source
Copy Number Variants and Their Association With Intracerebral Hemorrhage Risk: A Case–Control Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Introduction Intracerebral Hemorrhage (ICH) is a leading cause of morbidity and mortality worldwide and lacks effective therapeutic interventions. Despite previous studies, the genetic underpinnings of ICH remain poorly understood. We sought to investigate the role of copy number variants (CNVs) in ICH pathophysiology to identify novel ...
Savvina Prapiadou +12 more
wiley +1 more source
Handling Optimization under Uncertainty Problem Using Robust Counterpart Methodology
Jurnal Teknik Industri, 2013 In this paper we discuss the robust counterpart (RC) methodology to handle the optimization under uncertainty problem as proposed by Ben-Tal and Nemirovskii.
Diah Chaerani, Cornelis Roos
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