Feature selection: Multi-source and multi-view data limitations, capabilities and potentials
M Cherrington, J Lu, D Airehrour… - 2019 29th …, 2019 - ieeexplore.ieee.org
Feature Selection (FS) is a crucial step in high-dimensional and big data analytics. It
mitigates thecurse of dimensionality'by removing redundant and irrelevant features. Most FS …
mitigates thecurse of dimensionality'by removing redundant and irrelevant features. Most FS …
[HTML][HTML] The extent and coverage of current knowledge of connected health: Systematic mapping study
Background This study examines the development of the connected health (CH) research
landscape with a view to providing an overview of the existing CH research. The research …
landscape with a view to providing an overview of the existing CH research. The research …
Integrating co-clustering and interpretable machine learning for the prediction of intravenous immunoglobulin resistance in kawasaki disease
Identifying intravenous immunoglobulin-resistant patients is essential for the prompt and
optimal treatment of Kawasaki disease, suggesting the need for effective risk assessment …
optimal treatment of Kawasaki disease, suggesting the need for effective risk assessment …
Challenges associated with missing data in electronic health records: a case study of a risk prediction model for diabetes using data from Slovenian primary care
The increasing availability of data stored in electronic health records brings substantial
opportunities for advancing patient care and population health. This is, however …
opportunities for advancing patient care and population health. This is, however …
An overview of Business Intelligence research in healthcare organizations using a topic modeling approach
M Mehraeen, L Mahmoudi… - 2023 13th International …, 2023 - ieeexplore.ieee.org
The intersection of Business intelligence (BI) and data analytics with healthcare has
witnessed remarkable growth in recent decades. With the aim of identifying the most …
witnessed remarkable growth in recent decades. With the aim of identifying the most …
A Reduced Modeling Approach for Making Predictions with Incomplete Data Having Blockwise Missing Patterns
Incomplete data with blockwise missing patterns are commonly encountered in analytics,
and solutions typically entail listwise deletion or imputation. However, as the proportion of …
and solutions typically entail listwise deletion or imputation. However, as the proportion of …
A Hybrid Approach of Feature Selection and K-Nearest Neighbor for Handling Healthcare Prospective Missing Data
R Alkhawaldeh - 2023 - search.proquest.com
The electronic health record system generates an enormous amount of data that can be
utilized in healthcare predictive analytics. Although there has been a steady increase in the …
utilized in healthcare predictive analytics. Although there has been a steady increase in the …
A regularization approach for identifying cumulative lagged effects in smart health applications
Recent development of wearable sensor technologies have made it possible to capture
concurrent data streams for ambient environment and instantaneous physiological stress …
concurrent data streams for ambient environment and instantaneous physiological stress …
Indoor environmental effects on individual wellbeing
K Srinivasan, S Ram - Proceedings of the 6th International Conference …, 2016 - dl.acm.org
A growing literature demonstrates the impact of the built environment on human health and
wellbeing. A wide range of factors such as daylight exposure, ambient noise and air quality …
wellbeing. A wide range of factors such as daylight exposure, ambient noise and air quality …
Feature and case importance and confidence for imputation in computer-based reasoning systems
CJ Hazard, M Resnick - US Patent 10,845,769, 2020 - Google Patents
Techniques are provided for imputation in computer-based reasoning systems. The
techniques include performing the following until there are no more cases in a computer …
techniques include performing the following until there are no more cases in a computer …