Results 71 to 80 of about 1,318,109 (301)

Comparison of machine learning algorithms in statistically imputed water potability dataset

Journal of Innovations in Engineering Education, 2023
Lack of safe drinking water is a growing concern in the present day and age. Since missing data is commonly found among most of the available datasets, the main purpose of this study is to find the best algorithm that works in the dataset that is statistically imputed and find the algorithm that gives the best prediction on whether water is potable or ...
Diwash Poudel, Dhadkan Shrestha, Sulove Bhattarai, Abhishek Ghimire   +3 more
openaire   +1 more source

Fluid and Neuroimaging Biomarkers in Microgliopathy Colony‐Stimulating Factor‐1 Receptor‐Related Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study aims to identify both fluid and neuroimaging biomarkers for CSF1R‐RD that can inform the optimal timing of treatment administration to maximize therapeutic benefit, while also providing sensitive quantitative measurements to monitor disease progression.
Tomasz Chmiela, Madison Reeves, Karen Jansen‐West, Judith Dunmore, Yuping Song, Audrey Strongosky, Sunil Gandhi, Gilana Pikover, Matt Blurton‐Jones, Robert C. Spitale, Erik H. Middlebrooks, Leonard Petrucelli, Mercedes Prudencio, Zbigniew K. Wszolek   +13 more
wiley   +1 more source

Model for Multiple Imputation to Estimate Daily Rainfall Data and Filling of Faults

Revista Brasileira de Meteorologia
Modeling by multiple enchained imputation is an area of growing importance. However, its models and methods are frequently developed for specific applications.
José Ruy Porto de Carvalho, José Eduardo Boffinho Almeida Monteiro, Alan Massaru Nakai, Eduardo Delgado Assad   +3 more
doaj   +1 more source

Large-scale imputation models for multi-ancestry proteome-wide association analysis

bioRxiv
Proteome-wide association studies (PWAS) decode the intricate proteomic landscape of biological mechanisms for complex diseases. Traditional PWAS model training relies heavily on individual-level reference proteomes, restricting its capacity to harness ...
Chong Wu, Zichen Zhang, Xiaochen Yang, Bingxin Zhao   +3 more
semanticscholar   +1 more source

Inhibition of Classical and Alternative Complement Pathway by Ravulizumab and Eculizumab

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the feasibility of classical (CH50) and alternative (AH50) complement pathway activity as potential biomarkers for treatment guidance and monitoring during therapy with ravulizumab in patients with generalized myasthenia gravis (gMG) and compare these to therapeutic drug monitoring under eculizumab.
Lea Gerischer, Frauke Stascheit, Maximilian Mönch, Paolo Doksani, Carla Dusemund, Meret Herdick, Philipp Mergenthaler, Maike Stein, Amani Suboh, Jutta Schröder‐Braunstein, Guido Wabnitz, Jan D. Lünemann, Sophie Lehnerer, Sarah Hoffmann, Andreas Meisel   +14 more
wiley   +1 more source

fcGENE: a versatile tool for processing and transforming SNP datasets. [PDF]

PLoS ONE, 2014
BACKGROUND:Modern analysis of high-dimensional SNP data requires a number of biometrical and statistical methods such as pre-processing, analysis of population structure, association analysis and genotype imputation.
Nab Raj Roshyara, Markus Scholz
doaj   +1 more source

Sensitivity analysis for clinical trials with missing continuous outcome data using controlled multiple imputation: A practical guide

Statistics in Medicine, 2020
Missing data due to loss to follow‐up or intercurrent events are unintended, but unfortunately inevitable in clinical trials. Since the true values of missing data are never known, it is necessary to assess the impact of untestable and unavoidable ...
S. Cro, T. Morris, M. Kenward, J. Carpenter   +3 more
semanticscholar   +1 more source

Changes in Immune‐Inflammation Status and Acute Ischemic Stroke Prognosis in Prospective Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Inflammation is a critical risk factor for poor outcomes in cerebral infarction. Prior studies focused primarily on baseline inflammation status, neglecting dynamic longitudinal changes. We try to investigate the association between immune‐inflammation status alterations and stroke prognosis, and evaluated three systemic biomarkers'
Songfang Chen, Wenting Huang, Yitian Liu, Xuan Chen, Buyu Ke, Qian Shen, Hanyu Cai, Jing Sun, Yan Li, Yungang Cao, Beilei Hu, Keyang Chen   +11 more
wiley   +1 more source

Imputation by feature importance (IBFI): A methodology to envelop machine learning method for imputing missing patterns in time series data.

PLoS ONE, 2022
A new methodology, imputation by feature importance (IBFI), is studied that can be applied to any machine learning method to efficiently fill in any missing or irregularly sampled data.
Adil Aslam Mir, Kimberlee Jane Kearfott, Fatih Vehbi Çelebi, Muhammad Rafique   +3 more
doaj   +1 more source

Use of Symptomatic Drug Treatment for Fatigue in Multiple Sclerosis and Patterns of Work Loss

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To describe the use of central stimulants and amantadine for fatigue in MS and evaluate a potential association with reduced work loss in people with MS. Methods We conducted a nationwide, matched, register‐based cohort study in Sweden (2006 to 2023) using national registers with prospective data collection.
Simon Englund, Johan Reutfors, Thomas Frisell, Fredrik Piehl   +3 more
wiley   +1 more source