ArticleFrontiers in medicine2020
Identification of COVID-19 Clinical Phenotypes by Principal Component Analysis-Based Cluster Analysis.
Article in Frontiers in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
20 citing papers in PubMed, 39 citations in OpenAlex.
- Back to Basics: The Diagnostic Value of a Complete Blood Count in the Clinical Management of COVID-19.Diagnostics (Basel, Switzerland) · 2024Article
- Longitudinal dynamic clinical phenotypes of in-hospital COVID-19 patients across three dominant virus variants in New York.International journal of medical informatics · 2024Article
- Phenotype clustering of hospitalized high-risk patients with COVID-19 - a machine learning approach within the multicentre, multinational PCHF-COVICAV registry.Cardiology journal · 2024Article
- COVID-19 patient profiles over four waves in Barcelona metropolitan area: A clustering approach.PloS one · 2024Article
- Cytokine Signatures in Psoriatic Arthritis Patients Indicate Different Phenotypic Traits Comparing Responders and Non-Responders of IL-17A and TNFα Inhibitors.International journal of molecular sciences · 2023Article
- BNT162b2 COVID-19 Vaccine Safety among Healthcare Workers of a Tertiary Hospital in Italy.Vaccines · 2023Article
- Interpretable clinical phenotypes among patients hospitalized with COVID-19 using cluster analysis.Frontiers in digital health · 2023Article
- Unsupervised machine learning framework for discriminating major variants of concern during COVID-19.PloS one · 2023Article
- Four emerging immune cellular blood phenotypes associated with disease duration and activity established in Psoriatic Arthritis.Arthritis research & therapy · 2022Article
- Clinical clustering with prognostic implications in Japanese COVID-19 patients: report from Japan COVID-19 Task Force, a nation-wide consortium to investigate COVID-19 host genetics.BMC infectious diseases · 2022Article
- Article
- Subphenotyping of Mexican Patients With COVID-19 at Preadmission To Anticipate Severity Stratification: Age-Sex Unbiased Meta-Clustering Technique.JMIR public health and surveillance · 2022Article
- Disjoint and Functional Principal Component Analysis for Infected Cases and Deaths Due to COVID-19 in South American Countries with Sensor-Related Data.Sensors (Basel, Switzerland) · 2021Article
- Using Unsupervised Machine Learning to Identify Age- and Sex-Independent Severity Subgroups Among Patients with COVID-19: Observational Longitudinal Study.Journal of medical Internet research · 2021Observational
- Analysis of COVID-19 pandemics in Kazakhstan.Journal of research in health sciences · 2021Article
- Article
- Identification of Endotypes of Hospitalized COVID-19 Patients.Frontiers in medicine · 2021Article
- An Unsupervised Machine Learning Clustering and Prediction of Differential Clinical Phenotypes of COVID-19 Patients Based on Blood Tests-A Hong Kong Population Study.Frontiers in medicine · 2021Article
- Disentangling the Association of Hydroxychloroquine Treatment with Mortality in Covid-19 Hospitalized Patients through Hierarchical Clustering.Journal of healthcare engineering · 2021Article
- Article
Corrections and comments
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Authors and funding
14 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.