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Works (6)
Updated: April 5th, 2024 10:56
2022 journal article
A Comparison of Infectious Disease Forecasting Methods across Locations, Diseases, and Time
PATHOGENS, 11(2).
author keywords: infectious disease forecasting; prediction; big data; multi-feature fusion; machine learning; deep learning; GLARMA; campylobacteriosis; typhoid; Q-fever
TL;DR:
The power of ML approaches to incorporate a wide range of factors to forecast various diseases, regardless of location, more accurately than traditional statistical approaches is demonstrated.
(via Semantic Scholar)
open access via www.mdpi.com (publisher PDF)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: July 11, 2022
2022 journal article
Predicting infectious disease for biopreparedness and response: A systematic review of machine learning and deep learning approaches
ONE HEALTH, 15.
author keywords: Systematic review; Infectious diseases; Disease prediction; Disease forecast; Machine learning; Deep learning
TL;DR:
To fully utilize ML and DL for improved ID forecasting, models should include the full disease ecology in a One-Health context, important food and agricultural diseases, underrepresented hotspots, and important metrics and considerations required for operational deployment.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: November 14, 2022
2021 journal article
Dynamic logistic regression and variable selection: Forecasting and contextualizing civil unrest
INTERNATIONAL JOURNAL OF FORECASTING, 38(2), 648–661.
author keywords: Civil unrest; Dynamic logistic regression; Forecasting; Polya-Gamma latent variable; Penalized credible regions
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
16. Peace, Justice and Strong Institutions
(OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: September 4, 2021
2021 article
Estimating basis functions in massive fields under the spatial mixed effects model
Pazdernik, K., & Maitra, R. (2021, July 31). STATISTICAL ANALYSIS AND DATA MINING.
author keywords: alternating expectation conditional maximization algorithm; bandwidth; basis functions; fixed rank kriging; maximum likelihood estimation; range parameter
TL;DR:
This work develops an alternative method that utilizes the Spatial Mixed Effects (SME) model, but allows for additional flexibility by estimating the range of the spatial dependence between the observations and the knots via an Alternating Expectation Conditional Maximization (AECM) algorithm.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger
(Web of Science)
13. Climate Action
(OpenAlex)
Source: Web Of Science
Added: August 16, 2021
2020 journal article
Microstructural classification of unirradiated LiAlO2 pellets by deep learning methods
COMPUTATIONAL MATERIALS SCIENCE, 181.
author keywords: Deep convolutional neural network; Scanning electron microscopy; Spatial point process; Image segmentation
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: July 20, 2020
2018 journal article
Twitter geolocation: A hybrid approach
ACM Transactions on Knowledge Discovery from Data, 12(3).
Source: NC State University Libraries
Added: August 6, 2018
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