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

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Items 701–800 of 1,008

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2. Evolution of research and development in the field of artificial intelligence technologies for healthcare in the Russian Federation: results of 2021
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3. Methodological quality and reporting quality of COVID-19 living systematic review: a cross-sectional study
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4. Does 'AI' Stand for Augmenting Inequality in the Era of COVID-19 Healthcare?
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5. A prediction model based on machine learning for diagnosing the early COVID-19 patients
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6. How to update a living systematic review and keep it alive during a pandemic: a practical guide
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7. Machine learning with multimodal data for COVID-19
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8. Liability of Health Professionals Using Sensors, Telemedicine and Artificial Intelligence for Remote Healthcare
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9. Longitudinal deep neural networks for assessing metastatic brain cancer on a large open benchmark
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10. COVID-19 Screening Using Residual Attention Network an Artificial Intelligence Approach
    Vishal Sharma, Curtis Dyreson · 2020 · International Conference on Machine Learning and Applications
11. Multicenter Study of Temporal Changes and Prognostic Value of a CT Visual Severity Score in Hospitalized Patients With Coronavirus Disease (COVID-19)
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12. Mortality Risk Assessment Using CHA(2)DS(2)-VASc Scores in Patients Hospitalized With Coronavirus Disease 2019 Infection
    Gaetano M. Ruocco, Peter Andrew McCullough, Kristen M. Tecson, Massimo Mancone, Gaetano Maria De Ferrari, Fabrizio D'Ascenzo, Francesco Giuseppe De Rosa, Anita Paggi, Giovanni B. Forleo, Gioel Gabrio Secco et al. · 2020 · The American Journal of Cardiology
13. CALL Score and RAS Score as Predictive Models for Coronavirus Disease 2019
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14. Multicenter registry of United States emergency department patients tested for SARS‐CoV‐2
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15. Development and external validation of a prognostic tool for COVID-19 critical disease
    Daniel S. Chow, Justin Glavis‐Bloom, Jennifer E. Soun, Brent D. Weinberg, Theresa B. Loveless, Xiaohui S. Xie, Simukayi Mutasa, Edwin S. Monuki, Jung In Park, Daniela Annenelie Bota et al. · 2020 · PLoS ONE
16. Current advances in the detection of COVID-19 and evaluation of the humoral response
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17. Validation of pneumonia prognostic scores in a statewide cohort of hospitalised patients with COVID‐19
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18. The impact of ABO blood groups on clinical outcomes and susceptibility to COVID ‐19: A retrospective study in an unselected population
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19. Using Unsupervised Machine Learning to Identify Age- and Sex-Independent Severity Subgroups Among Patients with COVID-19: Observational Longitudinal Study
    Julián Benito‐León, M. Dolores del Castillo, Alberto Estirado, Ritwik Ghosh, Souvik Dubey, José Ignacio Serrano · 2021 · Journal of Medical Internet Research
20. Using Machine Learning Algorithms to Develop a Clinical Decision-Making Tool for COVID-19 Inpatients
    Abhinav Vepa, Amer Saleem, Kambiz Rakhshan, Alireza Daneshkhah, Tabassom Sedighi, Shamarina Shohaimi, Amr Omar, Nader Salari, Omid Chatrabgoun, Diana Dharmaraj et al. · 2021 · International Journal of Environmental Research and Public Health
21. Dementia as Risk Factor for Severe Coronavirus Disease 2019: A Case-Control Study
    Mariantonietta Pisaturo, Federica Calò, Antonio Russo, Clarissa Camaioni, Agnese Giaccone, Biagio Pinchera, Ivan Gentile, Filomena Simeone, Angelo Iodice, Paolo Maggi et al. · 2021 · Frontiers in Aging Neuroscience
22. Comparison of COVID-19 outcomes among shielded and non-shielded populations
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23. Clinical characteristics and symptom duration among outpatients with COVID-19
    Alexandra Lane, Krystal M Hunter, Elizabeth Leilani Lee, Daniel Hyman, Peter Bross, Andrew Alabd, Melanie Betchen, Vittorio Romeo Terrigno, Shikha Talwar, Daniel A. Ricketti et al. · 2021 · American Journal of Infection Control
24. Hybrid PSO–SVM algorithm for Covid-19 screening and quantification
    M. Asha Aruna Sheela, C. A. Arun · 2022 · International Journal of Information Technology
25. A 12-hospital prospective evaluation of a clinical decision support prognostic algorithm based on logistic regression as a form of machine learning to facilitate decision making for patients with suspected COVID-19
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26. Prediction models in first-episode psychosis: systematic review and critical appraisal
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28. An AI-based disease detection and prevention scheme for COVID-19
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29. Implementation of the COVID-19 Vulnerability Index Across an International Network of Health Care Data Sets: Collaborative External Validation Study
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30. Tracking and predicting COVID-19 radiological trajectory on chest X-rays using deep learning
    Daniel Gourdeau, Olivier Potvin, Patrick Michel Archambault, Carl Chartrand‐Lefebvre, Louis Dieumegarde, Reza Forghani, Christian Gagné, Alexandre Hains, David Hornstein, Huy B. Q. Le et al. · 2022 · Scientific Reports
31. Twelve practical recommendations for developing and applying clinical predictive models
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32. Clinical implementation of AI-based screening for risk for opioid use disorder in hospitalized adults
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33. Fear of Coronavirus Disease 2019—An Emerging Cardiac Risk
    Benjamin S. Wessler, David M. Kent, Marvin A. Konstam · 2020 · JAMA Cardiology
34. Hybrid Deep Learning-Based Epidemic Prediction Framework of COVID-19: South Korea Case
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35. Development of a data-driven COVID-19 prognostication tool to inform triage and step-down care for hospitalised patients in Hong Kong: a population-based cohort study
    Eva L. H. Tsui, Carrie Siu Man Lui, Pauline Woo, A Cheung, Peggo K. W. Lam, Van T. W. Tang, C. F. Yiu, C.H. Wan, Libby H.Y. Lee · 2020 · BMC Medical Informatics and Decision Making
36. RETRACTED ARTICLE: Modeling the progression of COVID-19 deaths using Kalman Filter and AutoML
    Tao Han, Francisco Nauber Bernardo Gois, Ramsés Oliveira, Luan Rocha Prates, Magda Moura de Almeida · 2021 · Soft Computing · Retracted
37. Development and validation of a risk score using complete blood count to predict in-hospital mortality in COVID-19 patients
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38. The association between clinical laboratory data and chest CT findings explains disease severity in a large Italian cohort of COVID-19 patients
    on behalf of the Reggio Emilia COVID-19 Working Group;, Simone Canovi, Giulia Besutti, Efrem Bonelli, Valentina Iotti, Marta Ottone, Laura Albertazzi, Alessandro Zerbini, Pierpaolo Pattacini, Paolo Giorgi Rossi et al. · 2021 · BMC Infectious Diseases
39. Development and External Validation of a Delirium Prediction Model for Hospitalized Patients With Coronavirus Disease 2019
    Victor Manuel Castro, Chana A. Sacks, Roy H. Perlis, Thomas H. McCoy · 2021 · Journal of the Academy of Consultation-Liaison Psychiatry
40. Systematic review of research design and reporting of imaging studies applying convolutional neural networks for radiological cancer diagnosis
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41. Short-Term Consequences of SARS-CoV-2-Related Pneumonia: A Follow Up Study
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42. Co-infection of COVID-19 and recurrent malaria
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43. A Clinical Decision Web to Predict ICU Admission or Death for Patients Hospitalised with COVID-19 Using Machine Learning Algorithms
    Rocío Aznar-Gimeno, Luis Mariano Esteban, Gorka Labata-Lezaun, Rafael del Hoyo Alonso, David Abadía, José Ramón Paño‐Pardo, M. José Esquillor-Rodrigo, Ángel Lanas, Trinidad Serrano · 2021 · International Journal of Environmental Research and Public Health
44. Classification of COVID-19 and Pneumonia Using Deep Transfer Learning
    Mainuzzaman Mahin, Sajid Tonmoy, Rufaed Islam, Tahia Tazin, Mohammad Monirujjaman Khan, Sami Bourouis · 2021 · Journal of Healthcare Engineering
45. Prediction Models for Bronchopulmonary Dysplasia in Preterm Infants: A Systematic Review
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46. Predictive model for long COVID in children 3 months after a SARS-CoV-2 PCR test
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47. Development and validation of a clinical score to estimate progression to severe or critical state in COVID-19 pneumonia hospitalized patients
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48. Comment on Williamson et al. (OpenSAFELY): The Table 2 Fallacy in a Study of COVID-19 Mortality Risk Factors
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49. Epidemic analysis of COVID‐19 in Italy based on spatiotemporal geographic information and Google Trends
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50. Allocation of intensive care resources during an infectious disease outbreak: a rapid review to inform practice
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51. Risk of infection and hospitalization by Covid-19 in Mexico: a case-control study
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52. Analysis of Devices Authorized by the FDA for Clinical Decision Support in Critical Care
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53. Predicting critical state after COVID-19 diagnosis: Model development using a large US electronic health record dataset
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54. The power of artificial intelligence for managing pandemics: A primer for public health professionals
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55. The Dilemma of Renal Involvement in COVID-19: A Systematic Review
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56. A Learning-Based Model to Evaluate Hospitalization Priority in COVID-19 Pandemics
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57. Machine Learning for Prediction of Patients on Hemodialysis with an Undetected SARS-CoV-2 Infection
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58. Association between peripheral lymphocyte count and the mortality risk of COVID-19 inpatients
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59. Artificial Intelligence Applied to Chest X-ray for Differential Diagnosis of COVID-19 Pneumonia
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60. A High Percentage of Patients Recovered From COVID-19 but Discharged With Abnormal Liver Function Tests
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61. Machine learning approach to dynamic risk modeling of mortality in COVID-19: a UK Biobank study
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62. Clinical profile and factors associated with COVID-19 in Yaounde, Cameroon: A prospective cohort study
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63. Fusion of intelligent learning for COVID-19: A state-of-the-art review and analysis on real medical data
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64. Predictive value of creatine kinase MB for contrast-induced acute kidney injury among myocardial infarction patients
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65. Overview and cross-validation of COVID-19 forecasting univariate models
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66. Artificial intelligence in COVID-19 evidence syntheses was underutilized, but impactful: a methodological study
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67. Risk stratification of patients with SARS-CoV-2 by tissue factor expression in circulating extracellular vesicles
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68. Automated diagnosis and prognosis of COVID-19 pneumonia from initial ER chest X-rays using deep learning
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69. Biochemical Parameters as Prognostic Markers in Severely Ill COVID-19 Patients
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70. Impact of upper and lower respiratory symptoms on COVID-19 outcomes: a multicenter retrospective cohort study
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71. Machine Learning in Cardiology: A Potential Real-World Solution in Low- and Middle-Income Countries
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72. Management of Traumatic Spinal Fracture in the Coronavirus Disease 2019 Situation
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73. Using random forest and biomarkers for differentiating COVID-19 and Mycoplasma pneumoniae infections
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74. Impact of liver injury on the severity of COVID-19: Systematic Review with Meta-analysis
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75. Quantification of COVID-19 Opacities on Chest CT – Evaluation of a Fully Automatic AI-approach to Noninvasively Differentiate Critical Versus Noncritical Patients
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76. Test case generation for agent-based models: A systematic literature review
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77. Comparison of 2 Risk Prediction Models Specific for COVID-19: The Brescia-COVID Respiratory Severity Scale Versus the Quick COVID-19 Severity Index
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78. COVID-19 in trauma: a propensity-matched analysis of COVID and non-COVID trauma patients
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79. Performance Analysis of the National Early Warning Score and Modified Early Warning Score in the Adaptive COVID-19 Treatment Trial Cohort
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80. Predicting respiratory failure for COVID-19 patients in Japan: a simple clinical score for evaluating the need for hospitalisation
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81. COVID-19: A Comprehensive Review of Learning Models
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82. Predicting prognosis in COVID-19 patients using machine learning and readily available clinical data
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83. Does the COVID-19 Pandemic Change Human Mobility Equally Worldwide? Cross-Country Cluster Analysis
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84. Performance of Three Measures of Comorbidity in Predicting Critical COVID-19: A Retrospective Analysis of 4607 Hospitalized Patients
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85. A 6-mRNA host response classifier in whole blood predicts outcomes in COVID-19 and other acute viral infections
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86. Quality-Adjusted Life-Years Lost Due to COVID-19 Mortality: Methods and Application for The Netherlands
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87. COVID-19 Severity Index: A predictive score for hospitalized patients
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88. Developing and Implementing Predictive Models in a Learning Healthcare System: Traditional and Artificial Intelligence Approaches in the Veterans Health Administration
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89. Using Decision Trees as an Expert System for Clinical Decision Support for COVID-19
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90. Predicting treatment resistance from first-episode psychosis using routinely collected clinical information
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91. The prognostic value of the Barthel Index for mortality in patients with COVID-19: A cross-sectional study
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92. Effective prognostic and clinical risk stratification in COVID‐19 using multimodality biomarkers
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93. Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers
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94. Comparison of in-hospital mortality risk prediction models from COVID-19
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95. The Quest for System-Theoretical Medicine in the COVID-19 Era
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96. COVID-19 in young and middle-aged adults: predictors of poor outcome and clinical differences
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97. Development of a predictive prognostic rule for early assessment of COVID-19 patients in primary care settings
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98. Deep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation
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99. Characteristics, Management And Outcomes Of Critically Ill Covid-19 Patients Admitted To Icu In Hospitals In Bangladesh: A Retrospective Study
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100. A Proposal for Identifying and Managing Bias in Artificial Intelligence
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