Systematic review of advanced AI methods for improving healthcare data quality in post COVID-19 Era
At the beginning of the COVID-19 pandemic, there was significant hype about the potential
impact of artificial intelligence (AI) tools in combatting COVID-19 on diagnosis, prognosis, or …
impact of artificial intelligence (AI) tools in combatting COVID-19 on diagnosis, prognosis, or …
A deep learning–based unsupervised method to impute missing values in patient records for improved management of cardiovascular patients
Physicians increasingly depend on electronic health records (EHRs) to manage their
patients. However, many patient records have substantial missing values that pose a …
patients. However, many patient records have substantial missing values that pose a …
Entering the new digital era of intensive care medicine: an overview of interdisciplinary approaches to use artificial intelligence for patients' benefit
O Old, B Friedrichson, K Zacharowski… - European Journal of …, 2023 - journals.lww.com
The idea of implementing artificial intelligence in medicine is as old as artificial intelligence
itself. So far, technical difficulties have prevented the integration of artificial intelligence in …
itself. So far, technical difficulties have prevented the integration of artificial intelligence in …
A novel model to optimize multiple imputation algorithm for missing data using evolution methods
The concept of missing data is considered significant when applying statistical methods to a
dataset and the quality of the data analysis results is based on the correct data …
dataset and the quality of the data analysis results is based on the correct data …
A survey of machine learning-based approaches for missing value imputation
Missing values create issues during the analysis of the dataset. Learning algorithms in an
asymmetrical dataset can generate an overrated classification accuracy due to a bias …
asymmetrical dataset can generate an overrated classification accuracy due to a bias …
A novel neural network for improved in-hospital mortality prediction with irregular and incomplete multivariate data
Accurate estimation of in-hospital mortality based on patients' physiological time series data
improves the performance of the clinical decision support systems and assists hospital …
improves the performance of the clinical decision support systems and assists hospital …
Explainable dynamic multimodal variational autoencoder for the prediction of patients with suspected central precocious puberty
Y Xu, X Liu, L Pan, X Mao, H Liang… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Central precocious puberty (CPP) is the most common type of precocious puberty and has a
significant effect on children. A gonadotropin-releasing hormone (GnRH)-stimulation test is …
significant effect on children. A gonadotropin-releasing hormone (GnRH)-stimulation test is …
Hybrid diabetes disease prediction framework based on data imputation and outlier detection techniques
AK Srivastava, Y Kumar, PK Singh - Expert Systems, 2022 - Wiley Online Library
In the field of medical science, accurate prediction is a difficult and challenging task. But, the
presence of missing values and outliers can make the prediction task more complicated …
presence of missing values and outliers can make the prediction task more complicated …
Simultaneous imputation and classification using Multigraph Geometric Matrix Completion (MGMC): Application to neurodegenerative disease classification
Large-scale population-based studies in medicine are a key resource towards better
diagnosis, monitoring, and treatment of diseases. They also serve as enablers of clinical …
diagnosis, monitoring, and treatment of diseases. They also serve as enablers of clinical …
Artificial neural network-based data imputation for handling anomalous energy consumption readings in smart homes
K Purna Prakash, YVP Kumar… - Energy Exploration …, 2024 - journals.sagepub.com
Smart homes are at the forefront of sustainable living, utilizing advanced monitoring systems
to optimize energy consumption. However, these systems frequently encounter issues with …
to optimize energy consumption. However, these systems frequently encounter issues with …