Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal

L Wynants, B Van Calster, GS Collins, RD Riley… - bmj, 2020 - bmj.com
Objective To review and appraise the validity and usefulness of published and preprint
reports of prediction models for prognosis of patients with covid-19, and for detecting people …

An extensive investigation on leveraging machine learning techniques for high-precision predictive modeling of CO2 emission

VG Nguyen, XQ Duong, LH Nguyen… - Energy Sources, Part …, 2023 - Taylor & Francis
Predictive analytics utilizing machine learning algorithms play a pivotal role in various
domains, including the profiling of carbon dioxide (CO2) emissions. This research paper …

Forecasting of transportation-related energy demand and CO2 emissions in Turkey with different machine learning algorithms

Ü Ağbulut - Sustainable Production and Consumption, 2022 - Elsevier
Adverse impacts of the transportation sector on not only air quality but also economic growth
of a country are nowadays well-noticed, particularly by developing countries. Today, the …

Digital transformation in personalized medicine with artificial intelligence and the internet of medical things

B Lin, S Wu - Omics: a journal of integrative biology, 2022 - liebertpub.com
Digital transformation is impacting every facet of science and society, not least because
there is a growing need for digital services and products with the COVID-19 pandemic. But …

Prediction models for severe manifestations and mortality due to COVID‐19: A systematic review

JL Miller, M Tada, M Goto, H Chen… - Academic …, 2022 - Wiley Online Library
Background Throughout 2020, the coronavirus disease 2019 (COVID‐19) has become a
threat to public health on national and global level. There has been an immediate need for …

COVID-rate: an automated framework for segmentation of COVID-19 lesions from chest CT images

N Enshaei, A Oikonomou, MJ Rafiee, P Afshar… - Scientific Reports, 2022 - nature.com
Abstract Novel Coronavirus disease (COVID-19) is a highly contagious respiratory infection
that has had devastating effects on the world. Recently, new COVID-19 variants are …

[Retracted] Smart Healthcare System for Severity Prediction and Critical Tasks Management of COVID‐19 Patients in IoT‐Fog Computing Environments

K Hameed Abdulkareem… - Computational …, 2022 - Wiley Online Library
COVID‐19 has depleted healthcare systems around the world. Extreme conditions must be
defined as soon as possible so that services and treatment can be deployed and intensified …

MEF: multidimensional examination framework for prioritization of COVID-19 severe patients and promote precision medicine based on hybrid multi-criteria decision …

KH Abdulkareem, MN Al-Mhiqani, AM Dinar… - Bioengineering, 2022 - mdpi.com
Effective prioritization plays critical roles in precision medicine. Healthcare decisions are
complex, involving trade-offs among numerous frequently contradictory priorities …

CT-based severity assessment for COVID-19 using weakly supervised non-local CNN

R Karthik, R Menaka, M Hariharan, D Won - Applied Soft Computing, 2022 - Elsevier
Evaluating patient criticality is the foremost step in administering appropriate COVID-19
treatment protocols. Learning an Artificial Intelligence (AI) model from clinical data for …

Augmentation strategies for an imbalanced learning problem on a novel COVID-19 severity dataset

D Schaudt, R Von Schwerin, A Hafner, P Riedel… - Scientific Reports, 2023 - nature.com
Since the beginning of the COVID-19 pandemic, many different machine learning models
have been developed to detect and verify COVID-19 pneumonia based on chest X-ray …