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

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Items 301–400 of 1,008

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   Gethin W. Hodges, Jannik Langtved Pallisgaard, Anne‐Marie Schjerning Olsen, Patricia McGettigan, Mikkel Porsborg Andersen, Maria Lukács Krogager, Kristian Hay Kragholm, Lars Køber, Gunnar Gislason, Christian Tobias Torp-Pedersen et al. · 2020 · BMJ Open
2. Forecasting COVID-19 confirmed cases, deaths and recoveries: Revisiting established time series modeling through novel applications for the USA and Italy
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3. Epidemiology, outcomes, and utilization of intensive care unit resources for critically ill COVID-19 patients in Libya: A prospective multi-center cohort study
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4. Pandemic coronavirus disease (Covid‐19): World effects analysis and prediction using machine‐learning techniques
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5. Comparative effectiveness of N95, surgical or medical, and non‐medical facemasks in protection against respiratory virus infection: A systematic review and network meta‐analysis
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6. Developing, validating, updating and judging the impact of prognostic models for respiratory diseases
   Florien Sophie-Anne van Royen, Karel G.M. Moons, Geert‐Jan Geersing, Maarten van Smeden · 2022 · European Respiratory Journal
7. Prediction models for depression risk among older adults: systematic review and critical appraisal
   Jie Tan, Chenxinan Ma, Chonglin Zhu, Yin Wang, Xiaoshuang Zou, Han Li, Jiarun Li, Yanxuan He, Chenkai Wu · 2022 · Ageing Research Reviews
8. Improving the quality of machine learning in health applications and clinical research
   Mateen, Bilal A., Liley, James, Denniston, Alastair K., Holmes, Chris C., Vollmer, Sebastian J. · 2020 · Nature Machine Intelligence
9. High neutrophil-to-lymphocyte ratio associated with progression to critical illness in older patients with COVID-19: a multicenter retrospective study
   Jiangshan Lian, Ciliang Jin, Shaorui Hao, Xiaoli Zhang, Meifang Yang, Xi Jin, Yingfeng Lu, Jianhua Hu, Shanyan Zhang, Lin Zheng et al. · 2020 · Aging
10. Leveraging community mortality indicators to infer COVID-19 mortality and transmission dynamics in Damascus, Syria
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11. Prone Positioning of Nonintubated Patients With Coronavirus Disease 2019—A Systematic Review and Meta-Analysis
    Mallikarjuna Ponnapa Reddy, Ashwin Subramaniam, Afsana Afroz, Baki Billah, Zheng Jie Lim, Alexandr Zubarev, Gabriel Blecher, Ravindranath Tiruvoipati, Kollengode R. Ramanathan, Suei Nee Wong et al. · 2021 · Critical Care Medicine
12. RETRACTED ARTICLE: Evolving deep convolutional neutral network by hybrid sine–cosine and extreme learning machine for real-time COVID19 diagnosis from X-ray images
    Chao Wu, Mohammad Khishe, Mokhtar Mohammadi, Sarkhel H. Taher Karim, Tarik Ahmed Rashid · 2021 · Soft Computing · Retracted
13. Comprehensive Survey of Using Machine Learning in the COVID-19 Pandemic
    Nora Mahmoud El-Rashidy, Samir Mohamed Abdelrazek, Tamer Abuhmed, Eslam Amer, Farman Ali, Jong Wan Hu, Shaker El–Sappagh · 2021 · Diagnostics
14. External validation of prognostic scores for COVID-19: a multicenter cohort study of patients hospitalized in Greater Paris University Hospitals
    Yannis Lombardi, Loris Azoyan, Piotr Szychowiak, Ali Bellamine, Guillaume Lemaître, Mélodie Bernaux, Christel Daniel, Judith Leblanc, Quentin Riller, Olivier Steichen et al. · 2021 · Intensive Care Medicine
15. End-to-End AI-Based Point-of-Care Diagnosis System for Classifying Respiratory Illnesses and Early Detection of COVID-19: A Theoretical Framework
    Abdelkader Nasreddine Belkacem, Sofía Ouhbi, Abderrahmane Lakas, Elhadj Benkhelifa, Chao Chen · 2021 · Frontiers in Medicine
16. COVID Mortality Prediction with Machine Learning Methods: A Systematic Review and Critical Appraisal
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17. Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study
    Kamran, Fahad, Tang, Shengpu, Otles, Erkin, McEvoy, Dustin S, Saleh, Sameh N, Gong, Jen, Li, Benjamin Y, Dutta, Sayon, Liu, Xinran, Medford, Richard J et al. · 2022 · BMJ
18. Fusing XGBoost and SHAP Models for Maritime Accident Prediction and Causality Interpretability Analysis
    Cheng Zhang, Zou Xiong, Chuan Lin · 2022 · Journal of Marine Science and Engineering
19. Transparent reporting of multivariable prediction models developed or validated using clustered data (TRIPOD-Cluster): explanation and elaboration
    Thomas P. A. Debray, Professor Gary S. Collins, Richard D Riley, Kym I E Snell, Ben VAN CALSTER, Johannes B. Reitsma, Karel G.M. Moons · 2023 · BMJ
20. Does SARS-CoV-2 Trigger Stress-Induced Autoimmunity by Molecular Mimicry? A Hypothesis
    Francesco Cappello, Antonella Marino, Francesco Dieli, Everly Conway de Macario, Alberto J.L. Macario · 2020 · Journal of Clinical Medicine
21. Bias and ethical considerations in machine learning and the automation of perioperative risk assessment
    O'Reilly-Shah, Vikas N., Gentry, Katherine R., Walters, Andrew M., Zivot, Joel, Anderson, Corrie T., Tighe, Patrick J. · 2020 · British Journal of Anaesthesia
22. Development and validation of prognosis model of mortality risk in patients with COVID-19
    Xuedi Ma, Michael Ng, Shuang Bing Xu, Zhouming Xu, Hui Qiu, Yuwei Liu, Jiayou Lyu, Jiwen You, Peng Zhao, Shihao Wang et al. · 2020 · Epidemiology and Infection
23. Lipidomic signatures align with inflammatory patterns and outcomes in critical illness
    Junru Wu, Anthony Roger Cyr, Danielle S. Gruen, Tyler C. Lovelace, Panayiotis V. Benos, Jishnu Das, Upendra K. Kar, Tianmeng Chen, Francis Xavier Guyette, Mark Harris Yazer et al. · 2022 · Nature Communications
24. Unleashing the power of disruptive and emerging technologies amid COVID-19: A detailed review
    Sonali Agarwal, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Tanveer, M., Nagabhushan, P., Pandian, K K Soundra, Saxena, Praveer · 2020 · arXiv (Cornell University)
25. Laboratory Findings Associated With Severe Illness and Mortality Among Hospitalized Individuals With Coronavirus Disease 2019 in Eastern Massachusetts
    Victor Manuel Castro, Thomas H. McCoy, Roy H. Perlis · 2020 · JAMA Network Open
26. Patient characteristics associated with COVID-19 positivity and fatality in Nigeria: retrospective cohort study
    Kelly Elimian, Chinwe Lucia Ochu, Blessing Itohan Ebhodaghe, Puja R Myles, Emily E. Crawford, Ehimario Uche Igumbor, Winifred Sandra Ukponu, A Onasoga Olayinka, Olusola Aruna, Chioma Dan-Nwafor et al. · 2020 · BMJ Open
27. Generalizability of Cardiovascular Disease Clinical Prediction Models: 158 Independent External Validations of 104 Unique Models
    Gaurav Gulati, Jenica Upshaw, Benjamin S. Wessler, Riley J. Brazil, Jason Nelson, David V. Klaveren, Christine M. Lundquist, Jinny G. Park, Hannah McGinnes, Ewout Willem Steyerberg et al. · 2022 · Circulation Cardiovascular Quality and Outcomes
28. Clustering analysis reveals different profiles associating long-term post-COVID symptoms, COVID-19 symptoms at hospital admission and previous medical co-morbidities in previously hospitalized COVID-19 survivors
    César Fernández‐de‐las‐Peñas, José D. Martín‐Guerrero, Lidiane Lima Florêncio, Esperanza Navarro‐Pardo, Jorge Rodríguez‐Jiménez, Juan Torres‐Macho, Óscar J. Pellicer-Valero · 2022 · Infection
29. Artificial intelligence and machine learning for clinical pharmacology
    David K. Ryan, Rory Maclean, Alfred John Balston, Andrew Scourfield, Anoop D Shah, Jack Ross · 2023 · British Journal of Clinical Pharmacology
30. Biological Aging Predicts Vulnerability to COVID-19 Severity in UK Biobank Participants
    Chia‐Ling Kuo, Luke C. Pilling, Janice L. Atkins, Jane A. H. Masoli, João Delgado, Christopher James Tignanelli, George A. Kuchel, David R. Melzer, Kenneth B. Beckman, Morgan E. Levine · 2021 · The Journals of Gerontology Series A
31. Covid-19 Predictions Using a Gauss Model, Based on Data from April 2
    Janik Schüttler, Reinhard Schlickeiser, Frank Schlickeiser, Martin Kröger · 2020 · Physics
32. Vital signs assessed in initial clinical encounters predict COVID-19 mortality in an NYC hospital system
    Elza Rechtman, Paul C. P. Curtin, Esmeralda Navarro, Sharon Nirenberg, Megan K. Horton · 2020 · Scientific Reports
33. Forecasting of COVID-19 epidemic size in four high hitting nations (USA, Brazil, India and Russia) by Fb-Prophet machine learning model
    Gopi Battineni, Nalini Chintalapudi, Francesco Amenta · 2020 · Applied Computing and Informatics
34. CovFrameNet: An Enhanced Deep Learning Framework for COVID-19 Detection
    Olaide Nathaniel Oyelade, Absalom El-Shamir Ezugwu, Haruna Chiroma · 2021 · IEEE Access
35. The use of artificial intelligence systems in diagnosis of pneumonia via signs and symptoms: A systematic review
    Katy Stokes, Rossana Castaldo, Carlo Federici, Silvio Marcello Pagliara, Alessia Maccaro, Francesco Paolo Cappuccio, Giuseppe Fico, Marco Salvatore, Monica Franzese, Leandro Pecchia · 2021 · Biomedical Signal Processing and Control
36. Serial measurements in COVID-19-induced acute respiratory disease to unravel heterogeneity of the disease course: design of the Maastricht Intensive Care COVID cohort (MaastrICCht)
    Maastricht Intensive Care COVID Study Group; MaastrICCht Collaborators, Jeanette Tas, Rob J. J. van Gassel, Serge J Heines, Mark M. G. Mulder, Nanon F. L. Heijnen, Melanie J. de Jong, Julia L.M. Bels, Frank C. Bennis, Marcel Koelmann et al. · 2020 · BMJ Open
37. Artificial intelligence in a crisis needs ethics with urgency
    Asaf Tzachor, Jess Whittlestone, Lalitha S. Sundaram, Seán Ó hÉigeartaigh · 2020 · Nature Machine Intelligence
38. Predictors of mortality of COVID-19 in the general population and nursing homes
    Pedro Pablo España, Amaia Bilbao, Susana García‐Gutiérrez, Iratxe Lafuente, Ane Antón-Ladislao, Ane Villanueva, Ane Uranga, María José Legarreta, Urko Aguirre, José María Quintana et al. · 2021 · Internal and Emergency Medicine
39. Analysis of Publication Activity and Research Trends in the Field of AI Medical Applications: Network Approach
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40. Predicting COVID-19 disease progression and patient outcomes based on temporal deep learning
    Chenxi Sun, Shenda Hong, Moxian Song, Hongyan Li, Zhenjie Wang · 2021 · BMC Medical Informatics and Decision Making
41. Predicting mortality rate and associated risks in COVID-19 patients
    Suneeta Satpathy, Monika Mangla, Nonita Sharma, Hardik Deshmukh, Sachi Nandan Mohanty · 2021 · Spatial Information Research
42. A novel specific artificial intelligence-based method to identify COVID-19 cases using simple blood exams
    Felipe Soares · 2020 · medRxiv
43. Excess mortality in the first COVID pandemic peak: cross-sectional analyses of the impact of age, sex, ethnicity, household size, and long-term conditions in people of known SARS-CoV-2 status in England
    Mark Joy, Richard F. Hobbs, Jamie Lopez Bernal, Julian Sherlock, Gayatri Amirthalingam, Dylan McGagh, Oluwafunmi Akinyemi, Rachel C. Byford, Gavin Dabrera, Jienchi Dorward et al. · 2020 · British Journal of General Practice
44. External validation demonstrates limited clinical utility of the interpretable mortality prediction model for patients with COVID-19
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45. Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studies
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46. COLI‐Net : Deep learning‐assisted fully automated COVID ‐19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography images
    Isaac Shiri, Hossein Arabi, Yazdan Salimi, Amirhossein Sanaat, Azadeh Akhavanallaf, Ghasem Hajianfar, Dariush Askari, Shakiba Moradi, Zahra Mansouri, Masoumeh Pakbin et al. · 2021 · International Journal of Imaging Systems and Technology
47. An observational analysis of the trope “A p-value of < 0.05 was considered statistically significant” and other cut-and-paste statistical methods
    Nicole Marie White, Thirunavukarasu Balasubramaniam, Richi Nayak, Adrian Gerard Barnett · 2022 · PLoS ONE
48. FACS: A geospatial agent-based simulator for analysing COVID-19 spread and public health measures on local regions
    Imran Mahmood, Hamid Arabnejad, Diana Suleimenova, Isabel Karen Sassoon, Alaa Marshan, Alan Serrano-Rico, Panos Louvieris, Anastasia Anagnostou, Simon J. E. Taylor, David Bell et al. · 2020 · Journal of Simulation
49. Modeling the effect of the vaccination campaign on the COVID-19 pandemic
    Mattia Angeli, Georgios Neofotistos, Marios Mattheakis, Efthimios Kaxiras · 2021 · Chaos Solitons & Fractals
50. Real-world evaluation of rapid and laboratory-free COVID-19 triage for emergency care: external validation and pilot deployment of artificial intelligence driven screening
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51. Association between markers of immune response at hospital admission and COVID‐19 disease severity and mortality: A meta‐analysis and meta‐regression
    Jaskaran Khinda, Naveed Zafar Janjua, Shannon S.Y. Cheng, Edwin R. van den Heuvel, Parveen Bhatti, Maryam Darvishian · 2020 · Journal of Medical Virology
52. Fever in the ICU: A Predictor of Mortality in Mechanically Ventilated COVID-19 Patients
    Rachel Leah Choron, Christopher A. Butts, Christopher G. Bargoud, Nicole J. Krumrei, Amanda L. Teichman, Mary E. Schroeder, Michelle T. Bover Manderski, Jenny Cai, Cherry Song, Michael B. Rodricks et al. · 2020 · Journal of Intensive Care Medicine
53. Development of Severe COVID-19 Adaptive Risk Predictor (SCARP), a Calculator to Predict Severe Disease or Death in Hospitalized Patients With COVID-19
    Shannon Wongvibulsin, Brian Thomas Garibaldi, Annukka A.R. Antar, Jiyang Wen, Mei‐Cheng Wang, Amita Gupta, Robert C. Bollinger, Yanxun Xu, Kunbo Wang, Joshua Betz et al. · 2021 · Annals of Internal Medicine
54. Risk of COVID-19 death in cancer patients: an analysis from Guy’s Cancer Centre and King’s College Hospital in London
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55. Merits and Limitations of Mathematical Modeling and Computational Simulations in Mitigation of COVID-19 Pandemic: A Comprehensive Review
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56. Application of machine learning in CT images and X-rays of COVID-19 pneumonia
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57. Review of Machine Learning in Lung Ultrasound in COVID-19 Pandemic
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58. Uncertainty of risk estimates from clinical prediction models: rationale, challenges, and approaches
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59. Between-centre differences for COVID-19 ICU mortality from early data in England
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60. SARS-CoV-2 viral load peaks prior to symptom onset: a systematic review and individual-pooled analysis of coronavirus viral load from 66 studies
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61. Moving towards vertically integrated artificial intelligence development
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62. SARS-CoV-2/COVID-19: Evolving Reality, Global Response, Knowledge Gaps, and Opportunities
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63. A one-year hospital-based prospective COVID-19 open-cohort in the Eastern Mediterranean region: The Khorshid COVID Cohort (KCC) study
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64. Reorganisation of GP surgeries during the COVID-19 outbreak: analysis of guidelines from 15 countries
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65. The year in cardiovascular medicine 2021: digital health and innovation
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66. Comparing Machine Learning Models and Statistical Models for Predicting Heart Failure Events: A Systematic Review and Meta-Analysis
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67. Recent Insight into SARS-CoV2 Immunopathology and Rationale for Potential Treatment and Preventive Strategies in COVID-19
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68. Development and validation of a prognostic COVID-19 severity assessment (COSA) score and machine learning models for patient triage at a tertiary hospital
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69. Real-time Prediction of COVID-19 related Mortality using Electronic Health Records
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70. Detecting Covid-19 chaos driven phishing/malicious URL attacks by a fuzzy logic and data mining based intelligence system
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71. Clinical and chest computed tomography features of patients suffering from mild and severe COVID-19 at Fayoum University Hospital in Egypt
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72. Machine Learning–Based Prediction Models for Delirium: A Systematic Review and Meta-Analysis
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73. Assessment of Adherence to Reporting Guidelines by Commonly Used Clinical Prediction Models From a Single Vendor
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74. AI in imaging: the regulatory landscape
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75. Development and Validation of a Machine Learning Approach for Automated Severity Assessment of COVID-19 Based on Clinical and Imaging Data: Retrospective Study
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76. A predictive model to estimate survival of hospitalized COVID-19 patients from admission data
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77. Active learning for screening prioritization in systematic reviews - A simulation study
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78. Past, present and future of living systematic review: a bibliometrics analysis
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79. Individualized prediction nomograms for disease progression in mild COVID‐19
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80. COVID-19 Severity Index: A predictive score for hospitalized patients
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81. Use of N-Acetylcysteine at high doses as an oral treatment for patients hospitalized with COVID-19
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82. Prognostic models in COVID-19 infection that predict severity: a systematic review
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83. Real-time prediction of COVID-19 related mortality using electronic health records
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84. Rapid Screening of Physiological Changes Associated With COVID-19 Using Soft-Wearables and Structured Activities: A Pilot Study
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85. Myocardial injury determination improves risk stratification and predicts mortality in COVID-19 patients
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86. Review of radiographic findings in COVID-19
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87. IFCC Interim Guidelines on Biochemical/Hematological Monitoring of COVID-19 Patients
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88. Overview of current state of research on the application of artificial intelligence techniques for COVID-19
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89. Is the Endothelium the Missing Link in the Pathophysiology and Treatment of COVID-19 Complications?
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90. 30-Day Morbidity and Mortality of Bariatric Surgery During the COVID-19 Pandemic: a Multinational Cohort Study of 7704 Patients from 42 Countries
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91. COVID-19 diagnosis from routine blood tests using artificial intelligence techniques
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92. Innovations in thoracic imaging: CT , radiomics, AI and x‐ray velocimetry
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93. External validation of a clinical risk score to predict hospital admission and in-hospital mortality in COVID-19 patients
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94. COVID-19 Modeling: A Review
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95. Prediction Models for Public Health Containment Measures on COVID-19 Using Artificial Intelligence and Machine Learning: A Systematic Review
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96. Uncovering Clinical Risk Factors and Predicting Severe COVID-19 Cases Using UK Biobank Data: Machine Learning Approach
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97. D-dimer, Troponin, and Urea Level at Presentation With COVID-19 can Predict ICU Admission: A Single Centered Study
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98. Elevated glucose level leads to rapid COVID-19 progression and high fatality
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99. Discharge summary hospital course summarisation of in patient Electronic Health Record text with clinical concept guided deep pre-trained Transformer models
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100. Evaluating variable selection methods for multivariable regression models: A simulation study protocol
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