Systematic review and critical appraisal of prediction models for diagnosis and prognosis of COVID-19 infection

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2. Comorbilidad y factores pronósticos al ingreso en una cohorte COVID-19 de un hospital general
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3. Data analytics and knowledge management approach for COVID-19 prediction and control
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4. Predictors at Admission of Mechanical Ventilation and Death in an Observational Cohort of Adults Hospitalized With Coronavirus Disease 2019
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5. Development and validation of the patient history COVID-19 (PH-Covid19) scoring system: a multivariable prediction model of death in Mexican patients with COVID-19
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6. Adaptive sample size determination for the development of clinical prediction models
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7. Performance of a Severity Score on Admission Chest Radiograph in Predicting Clinical Outcomes in Hospitalized Patients with Coronavirus Disease (COVID-19)
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8. Comparison of deep learning with regression analysis in creating predictive models for SARS-CoV-2 outcomes
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9. Deep Learning Models for Predicting Severe Progression in COVID-19-Infected Patients: Retrospective Study
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10. Hemogram-derived ratios as prognostic markers of ICU admission in COVID-19
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11. Performance of a Chest Radiograph AI Diagnostic Tool for COVID-19: A Prospective Observational Study
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12. Preparedness of pharmacists to respond to the emergency of the COVID-19 pandemic in Brazil: a comprehensive overview
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13. Risk factors for severe illness in hospitalized Covid-19 patients at a regional hospital
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14. Differentiating coronavirus disease 2019 (COVID-19) from influenza and dengue
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15. ξboost: An AI-Based Data Analytics Scheme for COVID-19 Prediction and Economy Boosting
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16. Should we ration extracorporeal membrane oxygenation during the COVID-19 pandemic?
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17. The value of computed tomography in assessing the risk of death in COVID-19 patients presenting to the emergency room
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18. A standardized analytics pipeline for reliable and rapid development and validation of prediction models using observational health data
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19. Conventional and Novel Diagnostic Tools for the Diagnosis of Emerging SARS-CoV-2 Variants
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20. A historical perspective of biomedical explainable AI research
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21. Comorbidity and prognostic factors on admission in a COVID-19 cohort of a general hospital
    Francisco Martos, Jairo Luque del Pino, Nicolás Jiménez-García, E. Mora Ruiz, C. Asencio Méndez, Jose María García Jiménez, Francisco Navarro Romero, Magali Vega Rodríguez · 2020 · Revista Clínica Española (English Edition)
22. COVID-19: A review of the ongoing pandemic
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23. Public Health Lessons Learned From Biases in Coronavirus Mortality Overestimation
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24. Engineering photonics solutions for COVID-19
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25. Risk factors related to the severity of COVID-19 in Wuhan
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26. Optimal Time-Varying Vaccine Allocation Amid Pandemics With Uncertain Immunity Ratios
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27. Early Prediction of COVID-19 Ventilation Requirement and Mortality from Routinely Collected Baseline Chest Radiographs, Laboratory, and Clinical Data with Machine Learning
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28. Validation of Neutrophil-to-Lymphocyte Ratio Cut-off Value Associated with High In-Hospital Mortality in COVID-19 Patients
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29. The Clinical Information Systems Response to the COVID-19 Pandemic
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30. Feature Robustness and Sex Differences in Medical Imaging: A Case Study in MRI-Based Alzheimer’s Disease Detection
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31. False-negative RT-PCR for COVID-19 and a diagnostic risk score: a retrospective cohort study among patients admitted to hospital
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32. COVID-19 Coagulopathy: From Pathogenesis to Treatment
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33. The challenges of data in future pandemics
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34. Machine learning does not outperform traditional statistical modelling for kidney allograft failure prediction
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35. A Representation-Based Query Strategy to Derive Qualitative Features for Improved Churn Prediction
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36. Prediction of the Number of Patients Infected with COVID-19 Based on Rolling Grey Verhulst Models
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37. Lactate Kinetics Reflect Organ Dysfunction and Are Associated with Adverse Outcomes in Intensive Care Unit Patients with COVID-19 Pneumonia: Preliminary Results from a GREEK Single-Centre Study
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38. Pre-test probability for SARS-Cov-2-related infection score: The PARIS score
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39. Deep vein thrombosis in COVID-19 patients in general wards: prevalence and association with clinical and laboratory variables
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40. Cost-Effectiveness Analysis in Implementation Science: a Research Agenda and Call for Wider Application
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41. Predicting mortality of individual patients with COVID-19: a multicentre Dutch cohort
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42. IL-10 and IL-12 (P70) Levels Predict the Risk of Covid-19 Progression in Hypertensive Patients: Insights From the BRACE-CORONA Trial
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43. Impact of computational approaches in the fight against COVID-19: an AI guided review of 17 000 studies
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44. Robust weakly supervised learning for COVID-19 recognition using multi-center CT images
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45. The modified NUTRIC score (mNUTRIC) is associated with increased 28-day mortality in critically ill COVID-19 patients: Internal validation of a prediction model
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46. How is test laboratory data used and characterised by machine learning models? A systematic review of diagnostic and prognostic models developed for COVID-19 patients using only laboratory data
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47. A Comprehensive Review of Machine Learning Used to Combat COVID-19
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48. COVICT: an IoT based architecture for COVID-19 detection and contact tracing
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49. Clinician's guide to trustworthy and responsible artificial intelligence in cardiovascular imaging
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50. Pitfalls and potentials in simulation studies: Questionable research practices in comparative simulation studies allow for spurious claims of superiority of any method
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51. International Electronic Health Record-Derived COVID-19 Clinical Course Profiles: The 4CE Consortium
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52. Resilient artificial intelligence in health: Synthesis and research agenda toward next-generation trustworthy clinical decision support
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53. Problems with evidence assessment in COVID-19 health policy impact evaluation: a systematic review of study design and evidence strength
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54. Prognostic models for predicting clinical disease progression, worsening and activity in people with multiple sclerosis
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55. Perceptions of Data Set Experts on Important Characteristics of Health Data Sets Ready for Machine Learning
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56. Enhancing Agriculture Through AI Vision and Machine Learning
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57. Forecasting cardiovascular disease mortality using artificial neural networks in Sindh, Pakistan
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58. Lobar Distribution of COVID-19 Pneumonia Based on Chest Computed Tomography Findings; A Retrospective Study.
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59. Correlation between Chest Computed Tomography Scan Findings and Mortality of COVID-19 Cases; a Cross sectional Study.
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60. Development and external validation of a prediction risk model for short-term mortality among hospitalized U.S. COVID-19 patients: A proposal for the COVID-AID risk tool
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61. COVID-19 Patients: A Systematic Review and Meta-Analysis of Laboratory Findings, Comorbidities, and Clinical Outcomes Comparing Medical Staff versus the General Population
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62. Patient-specific COVID-19 resource utilization prediction using fusion AI model
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63. Challenges in translational machine learning
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64. The Role of Robotics in Achieving the United Nations Sustainable Development Goals—The Experts’ Meeting at the 2021 IEEE/RSJ IROS Workshop [Industry Activities]
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65. Predictors of all‐cause mortality among patients hospitalized with influenza, respiratory syncytial virus, or SARS‐CoV‐2
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66. Comorbidities and complications of COVID-19 associated with disease severity, progression, and mortality in China with centralized isolation and hospitalization: A systematic review and meta-analysis
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67. Association of a remote patient monitoring (RPM) program with reduced hospitalizations in cancer patients with COVID-19
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68. Systematic Review of Advanced AI Methods for Improving Healthcare Data Quality in Post COVID-19 Era
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69. Characteristics and outcomes of coronavirus disease 2019 (COVID-19) patients with cancer: a single-center retrospective observational study in Tokyo, Japan
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70. Comparison of machine learning methods with logistic regression analysis in creating predictive models for risk of critical in-hospital events in COVID-19 patients on hospital admission
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71. Dynamic Prediction of Patient Outcomes in the Intensive Care Unit: A Scoping Review of the State-of-the-Art
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73. Predicting severe COVID-19 in the Emergency Department
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74. Predicting Intensive Care Transfers and Other Unforeseen Events: Analytic Model Validation Study and Comparison to Existing Methods
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75. Trends in COVID-19 prevalence and mortality: A year in review
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76. Accuracy of Machine Learning Assisted Detection of Keratoconus: A Systematic Review and Meta-Analysis
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78. 12 Plagues of AI in Healthcare: A Practical Guide to Current Issues With Using Machine Learning in a Medical Context
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79. Living systematic reviews at The BMJ
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81. Information Disclosure During the COVID-19 Epidemic in China: City-Level Observational Study
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82. Predicting severe outcomes in Covid-19 related illness using only patient demographics, comorbidities and symptoms
    Charles W. Ryan, Alexa Minc, Juan Caceres, A. Balsalobre-Vélez, Achal Dixit, Becky KaPik Ng, Florian Schmitzberger, Shabbir Syed-Abdul, Christopher Fung · 2020 · The American Journal of Emergency Medicine
83. A deep learning integrated radiomics model for identification of coronavirus disease 2019 using computed tomography
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84. Clinical subphenotypes in COVID-19: derivation, validation, prediction, temporal patterns, and interaction with social determinants of health
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85. Epidemiological models and COVID-19: a comparative view
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86. A Bidirectional Long Short-Term Memory Model Algorithm for Predicting COVID-19 in Gulf Countries
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87. The CCEDRRN COVID-19 Mortality Score to predict death among nonpalliative patients with COVID-19 presenting to emergency departments: a derivation and validation study
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88. Modern Machine-Learning Predictive Models for Diagnosing Infectious Diseases
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90. Delayed hospital admission and high-dose corticosteroids potentially prolong SARS-CoV-2 RNA detection duration of patients with COVID-19
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91. Quo Vadis Temporomandibular Disorders? By 2050, the Global Prevalence of TMD May Approach 44%
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93. Repositioning Vitamin C as a Promising Option to Alleviate Complications associated with COVID-19
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94. Contrastive learning improves critical event prediction in COVID-19 patients
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96. First and Second Waves of Coronavirus Disease 2019 in Madrid, Spain: Clinical Characteristics and Hematological Risk Factors Associated With Critical/Fatal Illness
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97. Early prognostication of COVID-19 to guide hospitalisation versus outpatient monitoring using a point-of-test risk prediction score
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