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

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Items 601–700 of 1,008

1. COVID-19 severity is predicted by earlier evidence of accelerated aging
   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 · 2020 · medRxiv
2. Comparison of the First and Second Waves of the Coronavirus Disease 2019 Pandemic in Children and Adolescents in a Middle-Income Country: Clinical Impact Associated with Severe Acute Respiratory Syndrome Coronavirus 2 Gamma Lineage
   Eduardo Araujo OLIVEIRA, Ana Cristina Simões e Silva, Maria Christina L. Oliveira, Enrico A. Colosimo, ROBERT H. K. MAK, Mariana Affonso Vasconcelos, Débora Marques de Miranda, Daniella Reis Barbosa Martelli, Ludmila R. Silva, Clara Catharino Pinhati et al. · 2022 · The Journal of Pediatrics
3. Exploiting an early warning Nomogram for predicting the risk of ICU admission in patients with COVID-19: a multi-center study in China
   Yiwu Zhou, Yanqi He, Huan Yang, Yu He, Ting Wang, Chen Zhu, Rong Yao, Zongan Liang · 2020 · Scandinavian Journal of Trauma Resuscitation and Emergency Medicine
4. Prognostic Models Predicting Mortality in Preterm Infants: Systematic Review and Meta-analysis
   Pauline E. van Beek, Peter Andriessen, Wes Onland, Ewoud Schuit · 2021 · PEDIATRICS
5. Pareto optimization of deep networks for COVID-19 diagnosis from chest X-rays
   Valerio Guarrasi, Natascha Claudia D’Amico, Rosa Sicilia, Ermanno Cordelli, Paolo Soda · 2021 · Pattern Recognition
6. Differences and Similarities Among COVID-19 Patients Treated in Seven ICUs in Three Countries Within One Region: An Observational Cohort Study*
   Dieter Mesotten, Daniek A. M. Meijs, Bas C. T. van Bussel, Björn Stessel, Jannet Mehagnoul-Schipper, Anisa Hana, Clarissa I. E. Scheeren, Ulrich Strauch, Marcel C.G. van de Poll, Chahinda Ghossein‐Doha et al. · 2021 · Critical Care Medicine
7. SARS-CoV-2 outbreaks in hospitals and long-term care facilities in Germany: a national observational study
   Beneditta Suwono, Annika Steffen, Birgitta Schweickert, Viktoria Schönfeld, Michael Brandl, Mirco Sandfort, Niklas Willrich, Tim Eckmanns, Sebastian Haller · 2022 · The Lancet Regional Health - Europe
8. CoQUAD: a COVID-19 question answering dataset system, facilitating research, benchmarking, and practice
   Shaina Raza, Brian Schwartz, Laura C. Rosella · 2022 · BMC Bioinformatics
9. Cardiovascular Risk Factors and Clinical Outcomes among Patients Hospitalized with COVID-19: Findings from the World Heart Federation COVID-19 Study
   Dorairaj Prabhakaran, Kavita Singh, Dimple Kondal, Lana Raspail, Bishav Mohan, Toru Kato, Nizal Sarrafzadegan, Shamim Hayder Talukder, Shahin Akter, Mohammad Robed Amin et al. · 2022 · Global Heart
10. Letter to the Editor: Variability but not admission or trends in NEWS2 score predicts clinical outcome in elderly hospitalised patients with COVID-19
    Shirley Sze, Daniel Pan, Caroline Williams, Nicholas Wong, Amandip S. Sahota, David Bell, Julian Wei-Tze Tang, Martin J Wiselka, Iain Stephenson, Manish Pareek · 2020 · Journal of Infection
11. Multimodal explainability via latent shift applied to COVID-19 stratification
    Guarrasi, Valerio, Tronchin, Lorenzo, Albano, Domenico, Faiella, Eliodoro, Fazzini, Deborah, Santucci, Domiziana, Soda, Paolo · 2024 · Pattern Recognition
12. Effectiveness of COVID‑19 vaccines and their challenges (Review)
    Gabriella Marfè, Stefania Perna, Arvind Kumar Shukla · 2021 · Experimental and Therapeutic Medicine
13. Promoting Critical Thinking in Biological Sciences in the Era of Artificial Intelligence: The Role of Higher Education
    Christos P. Papaneophytou, Stella A. Nicolaou · 2025 · Trends in Higher Education
14. Factors associated with hospital admission for COVID-19 in HIV patients
    Antonio Di Biagio, Elena Delfina Ricci, Leonardo Calza, Nicola Squillace, Barbara Menzaghi, Stefano Rusconi, Giancarlo Orofino, Olivia Bargiacchi, Chiara Molteni, Laura Valsecchi et al. · 2020 · AIDS
15. Course of D-Dimer and C-Reactive Protein Levels in Survivors and Nonsurvivors with COVID-19 Pneumonia: A Retrospective Analysis of 577 Patients
    Luca Valerio, Paola Ferrazzi, Clara Sacco, Wolfram Ruf, Nils Kucher, Stavros Konstantinides, Stefano Barco, Corrado Lodigiani, On behalf of Humanitas COVID-19 Task Force · 2020 · Thrombosis and Haemostasis
16. Fibrosis-4 index as a predictor for mortality in hospitalised patients with COVID-19: a retrospective multicentre cohort study
    Jung Gil Park, Min Kyu Kang, Yu Rim Lee, Jeong Eun Song, Na Young Kim, Young Oh Kweon, Won Young Tak, Se Young Jang, Changhyeong Lee, Byung Seok Kim et al. · 2020 · BMJ Open
17. Excessive and Problematic Internet Use During the Coronavirus Disease 2019 School Closure: Comparison Between Japanese Youth With and Without Autism Spectrum Disorder
    Kentaro Kawabe, Rie Hosokawa, Kiwamu Nakachi, Ayumi Yoshino, Fumie Horiuchi, Shuichi Ueno · 2020 · Frontiers in Public Health
18. Rapid review of COVID-19 epidemic estimation studies for Iran
    Farshad Pourmalek, Mohsen Rezaei Hemami‬, Leila Janani, Maziar Moradi‐Lakeh · 2021 · BMC Public Health
19. Artificial Intelligence–Aided Precision Medicine for COVID-19: Strategic Areas of Research and Development
    Enrico Santus, Nicola Marino, Davide Cirillo, Emmanuele Chersoni, Arnau Montagud, Antonella Santuccione Chadha, Alfonso Valencia, Kevin S. Hughes, Charlotta J. Lindvall · 2021 · Journal of Medical Internet Research
20. Use of a Telemedicine Risk Assessment Tool to Predict the Risk of Hospitalization of 496 Outpatients With COVID-19: Retrospective Analysis
    James B. O’Keefe, Elizabeth J. Tong, Thomas H. Taylor, Ghazala A. Datoo O’Keefe, David C. Tong · 2021 · JMIR Public Health and Surveillance
21. Predictors of clinical deterioration in patients with suspected COVID-19 managed in a ‘virtual hospital’ setting: a cohort study
    Nick A Francis, Beth L. Stuart, Matthew Knight, Rama Vancheeswaran, Charles Matthew Oliver, Merlin Luke Willcox, Andrew Bryan Timothy Barlow, Michael V Moore · 2021 · BMJ Open
22. Risk Score for Predicting In-Hospital Mortality in COVID-19 (RIM Score)
    Alejandro López‐Escobar, Rodrigo Madurga, Jose Maria Castellano, Sara Velázquez, Rafael Suárez del Villar Carrero, Justo Menéndez, Alejandro Peixoto, Sara Jimeno, Paula Sol Ventura, Santiago Ruiz de Aguiar · 2021 · Diagnostics
23. Deep Learning–Based COVID-19 Pneumonia Classification Using Chest CT Images: Model Generalizability
    Dan T. D. Nguyen, Fernando Uliana Kay, Jun Tan, Yulong Yan, Yee S. Ng, Puneeth Iyengar, Ronald M. Peshock, Steve B Jiang · 2021 · Frontiers in Artificial Intelligence
24. Development and validation of a simple web-based tool for early prediction of COVID-19-associated death in kidney transplant recipients
    Luís Gustavo Modelli de Andrade, Tainá Veras de Sandes‐Freitas, Lúcio Requião‐Moura, Laila Almeida Viana, Marina Pontello Cristelli, Valter Duro Garcı́a, A. Alcántara, Ronaldo de Matos Esmeraldo, Mário Abbud‐Filho, Álvaro Pacheco‐Silva et al. · 2021 · American Journal of Transplantation
25. Diversity Forests: Using Split Sampling to Enable Innovative Complex Split Procedures in Random Forests
    Roman Hornung · 2021 · SN Computer Science
26. Stochastic forecasting of COVID-19 daily new cases across countries with a novel hybrid time series model
    Arinjita Bhattacharyya, Tanujit Chakraborty, Shesh N. Rai · 2022 · Nonlinear Dynamics
27. eXtreme Gradient Boosting-based method to classify patients with COVID-19
    Antonio Ramón, Ana Torres, Javier Milara, J. Cascón, Pilar Blasco, Jorge Mateo · 2022 · Journal of Investigative Medicine
28. A Sustainable Deep Learning-Based Framework for Automated Segmentation of COVID-19 Infected Regions: Using U-Net with an Attention Mechanism and Boundary Loss Function
    Imran Ahmed, Abdellah Chehri, Gwanggil Jeon · 2022 · Electronics
29. Multisite implementation of a workflow-integrated machine learning system to optimize COVID-19 hospital admission decisions
    Hinson, Jeremiah S., Klein, Eili, Smith, Aria, Toerper, Matthew, Dungarani, Trushar, Hager, David, Hill, Peter, Kelen, Gabor, Niforatos, Joshua D., Stephens, R. Scott et al. · 2022 · npj Digital Medicine
30. Sharing Data Is Essential for the Future of AI in Medical Imaging
    Bell, Laura C., Shimron, Efrat · 2024 · Radiology: Artificial Intelligence
31. Perioperative Mortality in Pediatric Patients: A Systematic Review of Risk Assessment Tools for Use in the Preoperative Setting
    Virginia E. Tangel, Stephan D. Krul, Robert Jan Stolker, Wichor Matthijs Bramer, Jurgen C. de Graaff, Sanne Elisabeth Hoeks · 2022 · Anesthesiology
32. Chest X‐ray‐based opportunistic screening of sarcopenia using deep learning
    Jin Ju Ryu, Sujeong Eom, Hyeon Chang Kim, Chang Oh Kim, Yumie Rhee, Seng Chan You, Namki Hong · 2022 · Journal of Cachexia Sarcopenia and Muscle
33. Machine Learning–Based Asthma Attack Prediction Models From Routinely Collected Electronic Health Records: Systematic Scoping Review
    Arif Budiarto, Kevin C.H. Tsang, Andrew M. Wilson, Aziz Sheikh, Syed Ahmar Shah · 2023 · JMIR AI
34. Is Generative AI Increasing the Risk for Technology‐Mediated Trauma Among Vulnerable Populations?
    Abdul‐Fatawu Abdulai · 2024 · Nursing Inquiry
35. Prediction of lethal outcomes in COVID-19 cases based on the results chest computed tomography
    Sergey Pavlovich Morozov, Victor А. Gombolevskiy, Valeria Chernina, Ivan Andreevich Blokhin, Olesya A. Mokienko, A. V. Vlаdzimirskiy, А. S. Belevskiy, Проценко Денис Николаевич, Лысенко Марьяна Анатольевна, Oleg V. Zayratyants et al. · 2020 · Tuberculosis and lung diseases
36. CUADRO CLÍNICO DEL COVID-19
    Rodrigo Gil, Patricia Bitar, Cristian Deza E., Jorge Dreyse, MATÍAS FLORENZANO V, Cristián Ibarra, Jorge Jorquera A, Joel Melo, Henry Olivi, María Teresa Parada et al. · 2021 · Revista Médica Clínica Las Condes
37. Using AI ethically to tackle covid-19
    Stephen Cave, Jess Whittlestone, Rune Nyrup, Seán Ó hÉigeartaigh, Rafael A. Calvo · 2021 · BMJ
38. Characteristics and risk factors for SARS-CoV-2 in children tested in the early phase of the pandemic: a cross-sectional study, Italy, 23 February to 24 May 2020
    Marzia Lazzerini, Idanna Sforzi, Sandra Trapani, Paolo Biban, Davide Silvagni, GIOVANNA VILLA, Jessica Tibaldi, Luca Bertacca, Enrico Felici, Giuseppina Perricone et al. · 2021 · Eurosurveillance
39. Deep insight: Convolutional neural network and its applications for COVID-19 prognosis
    Nadeem Yousuf Khanday, Shabir Ahmad Sofi · 2021 · Biomedical Signal Processing and Control
40. Abnormal Fibrinogen Level as a Prognostic Indicator in Coronavirus Disease Patients: A Retrospective Cohort Study
    Wei Long, Jie Yang, Zhengwei Li, Jinpeng Li, Sichao Chen, Danyang Chen, Shipei Wang, Qianqian Li, Di Hu, Jianglong Huang et al. · 2021 · Frontiers in Medicine
41. Computed tomography‐defined body composition as prognostic markers for unfavourable outcomes and in‐hospital mortality in coronavirus disease 2019
    Hans‐Jonas Meyer, Andreas Wienke, Alexey Surov · 2022 · Journal of Cachexia Sarcopenia and Muscle
42. A machine learning model for predicting deterioration of COVID-19 inpatients
    Omer Noy, Dan Coster, Maya Metzger, Itai Atar, Shani Shenhar‐Tsarfaty, Shlomo A. Berliner, Galia Rahav, Ori Rogowski, Ron Shamir A · 2022 · Scientific Reports
43. External validation of the 4C Mortality Score for patients with COVID-19 and pre-existing cardiovascular diseases/risk factors
    Shunsuke Kuroda, Shingo Matsumoto, Takahide Sano, Takeshi Kitai, Taishi Yonetsu, Shun Kohsaka, Sho Torii, Takuya Kishi, Issei Komuro, Ken‐ichi Hirata et al. · 2021 · BMJ Open
44. Machine learning for healthcare that matters: Reorienting from technical novelty to equitable impact
    Aparna Balagopalan, Ioana Baldini, Leo Anthony Celi, Judy Wawira Gichoya, Liam G. McCoy, Tristan Naumann, Uri Shalit, Mihaela van der Schaar, Kiri L. Wagstaff · 2024 · PLOS Digital Health
45. Meta-analysis of prediction models for predicting lymph node metastasis in thyroid cancer
    Feng Liu, Fei Han, Lifang Lu, Yizhang Chen, Zhen Guo, Jingchun Yao · 2024 · World Journal of Surgical Oncology
46. SARS‐CoV‐2 infection among patients with haematological disorders: Severity and one‐month outcome in 66 Danish patients in a nationwide cohort study
    Andreas Birkedal Glenthøj, Lasse Hjort Jakobsen, Henrik Sengeløv, Syed Arif Ahmad, Kristian Qvist, Annika Rewes, Christian Bjørn Poulsen, Ulrik Malthe Overgaard, Ingolf Mølle, Marianne Tang Severinsen et al. · 2020 · European Journal Of Haematology
47. Is “no test is better than a bad test”? Impact of diagnostic uncertainty in mass testing on the spread of COVID-19
    Nicholas Gray, Dominic Calleja, Alexander Wimbush, Enrique Miralles-Dolz, Ander Gray, Marco de Angelis, Elfriede Derrer‐Merk, Uchenna Oparaji, Vladimir Stepanov, Louis G Clearkin et al. · 2020 · PLoS ONE
48. Infectious diseases epidemiology, quantitative methodology, and clinical research in the midst of the COVID-19 pandemic: Perspective from a European country
    Geert Molenberghs, Marc E Buyse, Steven Abrams, Niel Hens, Philippe Beutels, Christel Faes, Geert N. Verbeke, Pierre Van Damme, Herman Goossens, Thomas Neyens et al. · 2020 · Contemporary Clinical Trials
49. Regular Sports Participation as a Potential Predictor of Better Clinical Outcome in Adult Patients With COVID-19: A Large Cross-Sectional Study
    Farzin Halabchi, Reza Mazaheri, Khashayar Sabeti, Masoud Yunesian, Zahra Alizadeh, Zahra Ahmadinejad, Seyed Mojtaba Aghili, Zahra Tavakol · 2020 · Journal of Physical Activity and Health
50. Predicting in-hospital mortality from Coronavirus Disease 2019: A simple validated app for clinical use
    Bianca Magro, Valentina Zuccaro, Luca Novelli, Lorenzo Zileri Dal Verme, Ciro Celsa, Federico Raimondi, Mauro Gori, Giulia Cammá, Salvatore L Battaglia, Vincenzo Giuseppe Genova et al. · 2021 · PLoS ONE
51. Evaluation and calibration of SAPS 3 in patients with COVID-19 admitted to intensive care units
    Philipp Metnitz, Rui Paulo Moreno, Tobias Fellinger, Martin Posch, Paul Zajic · 2021 · Intensive Care Medicine
52. A machine-learning parsimonious multivariable predictive model of mortality risk in patients with Covid-19
    Rita Murri, Jacopo Lenkowicz, Carlotta Masciocchi, Chiara Iacomini, Massimo Fantoni, Andrea Damiani, Antonio Marchetti, Paolo Domenico Angelo Sergi, Giovanni Arcuri, Alfredo Cesario et al. · 2021 · Scientific Reports
53. Automated Machine Learning Optimizes and Accelerates COVID-19 Predictive Modeling
    Γεώργιος Παπουτσόγλου, Makrina Karaglani, Vincenzo Lagani, Naomi Thomson, Oluf Dimitri Røe, Ioannis Tsamardinos, Εkaterini Chatzaki · 2021 · Scientific Reports
54. External validation of Machine Learning models for COVID-19 detection based on Complete Blood Count
    Andrea Campagner, Anna Carobene, Federico Cabitza · 2021 · Health Information Science and Systems
55. Severity Assessment and Progression Prediction of COVID-19 Patients Based on the LesionEncoder Framework and Chest CT
    You‐Zhen Feng, Sidong Liu, Zhong‐Yuan Cheng, Juan C. Quiroz, Dana Rezazadegan, Ping-Kang Chen, Qi‐Ting Lin, Long Qian, Xiaofang Liu, Shlomo Berkovsky et al. · 2021 · Information
56. An Overview of Supervised Machine Learning Methods and Data Analysis for COVID-19 Detection
    Aurelle Tchagna Kouanou, Thomas Mih Attia, Cyrille Feudjio, Anges Fleurio Djeumo, Adèle Ngo Mouelas, Mendel Patrice Nzogang, Christian Tchito Tchapga, D. Tchiotsop · 2021 · Journal of Healthcare Engineering
57. Application of Artificial Intelligence and Big Data for Fighting COVID-19 Pandemic
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58. Venous thromboembolism in COVID-19 patients and prediction model: a multicenter cohort study
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59. Deep learning in public health: Comparative predictive models for COVID-19 case forecasting
    Muhammad Usman Tariq, Shuhaida Binti Ismail · 2024 · PLoS ONE · Retracted
60. Deep Morphology Learning Enhances <i>Ex Vivo</i> Drug Profiling-Based Precision Medicine
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61. Deep learning models for COVID-19 chest X-ray classification: preventing shortcut learning using feature Disentanglement
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62. Overlooked and underpowered: a meta-research addressing sample size in radiomics prediction models for binary outcomes
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63. Novel Temperature Trajectory Subphenotypes in COVID-19
    Sivasubramanium V. Bhavani, Elbert S. Huang, Philip A. Verhoef, Matthew M. Churpek · 2020 · CHEST Journal
64. A dynamical framework for modeling fear of infection and frustration with social distancing in COVID-19 spread
    Matthew D. Johnston, Bruce Pell · 2020 · Mathematical Biosciences & Engineering
65. A Survey on Perceived COVID-19 Risk in Dentistry and the Possible Use of Rapid Tests
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66. Recreational and philanthropic sectors are the worst-hit US industries in the COVID-19 aftermath
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67. PACIFIC: a lightweight deep-learning classifier of SARS-CoV-2 and co-infecting RNA viruses
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68. Risk factors for in-hospital mortality in laboratory-confirmed COVID-19 patients in the Netherlands: A competing risk survival analysis
    Gerine Nijman, Maike H M Wientjes, Jordache Ramjith, Nico A. F. Janssen, Jacobien J. Hoogerwerf, Evertine J. Abbink, Marc J. T. Blaauw, Ton Dofferhoff, Marjan van Apeldoorn, Karin M. Veerman et al. · 2021 · PLoS ONE
69. A hybrid data envelopment analysis—artificial neural network prediction model for COVID-19 severity in transplant recipients
    Ignacio Revuelta, Francisco J. Santos‐Arteaga, Enrique Montagud‐Marrahí, Pedro Ventura‐Aguiar, Debora Di Caprio, Frederic Cofán, David Cucchiari, Vicens Torregrosa, Gastón Julio Piñeiro, Núria Esforzado et al. · 2021 · Artificial Intelligence Review
70. Contrasting factors associated with COVID-19-related ICU admission and death outcomes in hospitalised patients by means of Shapley values
    Massimo Cavallaro, Haseeb Moiz, Matt J. Keeling, Noel Denis McCarthy · 2021 · PLoS Computational Biology
71. On-admission SARS-CoV-2 RNAemia as a single potent predictive marker of critical condition development and mortality in COVID-19
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72. Mapping each pre-existing condition’s association to short-term and long-term COVID-19 complications
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73. Lessons learned in transitioning to AI in the medical imaging of COVID-19
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74. Safety implications of remote assessments for suspected COVID-19: qualitative study in UK primary care
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75. Integrating multimodal data through interpretable heterogeneous ensembles
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76. Efficacy and safety of antimicrobial stewardship prospective audit and feedback in patients hospitalised with COVID-19 (COVASP): a pragmatic, cluster-randomised, non-inferiority trial
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77. Multi-objective optimization determines when, which and how to fuse deep networks: An application to predict COVID-19 outcomes
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78. Clinical characteristics and 28-day mortality of medical patients admitted with COVID-19 to a central London teaching hospital
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79. Emergency preparedness for public health threats, surveillance, modelling & forecasting
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80. A Unified Framework on Generalizability of Clinical Prediction Models
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81. Comparing machine learning algorithms to predict COVID‑19 mortality using a dataset including chest computed tomography severity score data
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82. Advances in artificial intelligence for accurate and timely diagnosis of COVID-19: A comprehensive review of medical imaging analysis
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83. COVID-19 Intervention Scenarios for a Long-term Disease Management
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84. Derivation and Validation of Clinical Prediction Rules for COVID-19 Mortality in Ontario, Canada
    David N. Fisman, Amy L. Greer, Michael P. Hillmer, Ashleigh R. Tuite · 2020 · Open Forum Infectious Diseases
85. Age discrimination in critical care triage in South Africa: The law and the allocation of scarce health resources in the COVID-19 pandemic
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86. Correlation between hospitalized patients’ demographics, symptoms, comorbidities, and COVID-19 pandemic in Bahia, Brazil
    Márcio C. F. Macedo, Isabelle Matos Pinheiro, Caio J. L. Carvalho, Hilda Carolina de Jesus Rios Fraga, Isaac P. C. Araujo, Simone S. Montes, Otavio Augusto Cerqueira Araujo, Lucas A. Alves, Hugo C. Saba, Márcio Luís Valença Araújo et al. · 2020 · PLoS ONE
87. A biomarker-based age, biomarkers, clinical history, sex (ABCS)-mortality risk score for patients with coronavirus disease 2019
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88. Development and validation of clinical prediction model to estimate the probability of death in hospitalized patients with COVID‐19: Insights from a nationwide database
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89. Clinical Practice Guidelines and Recommendations in the Context of the COVID-19 Pandemic: Systematic Review and Critical Appraisal
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90. Elevated Monocyte to Lymphocyte Ratio and Increased Mortality among Patients with Chronic Kidney Disease Hospitalized for COVID-19
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91. Chest CT severity score and radiological patterns as predictors of disease severity, ICU admission, and viral positivity in COVID-19 patients
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92. Perspective: Wearable Internet of Medical Things for Remote Tracking of Symptoms, Prediction of Health Anomalies, Implementation of Preventative Measures, and Control of Virus Spread During the Era of COVID-19
    Sarmad Mehrdad, Yao Wang, S. Farokh Atashzar · 2021 · Frontiers in Robotics and AI
93. The hopes and hazards of using personal health technologies in the diagnosis and prognosis of infections
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94. Outcomes of patients with end stage kidney disease on dialysis with COVID-19 in Abu Dhabi, United Arab Emirates; from PCR to antibody
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95. Predicting critical illness on initial diagnosis of COVID-19 based on easily obtained clinical variables: development and validation of the PRIORITY model
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96. COVID-19 Reveals Vulnerabilities of the Food–Energy–Water Nexus to Viral Pandemics
    Ryan S. D. Calder, Caitlin A. Grady, Marc Jeuland, Christine J. Kirchhoff, Rebecca L. Hale, Rebecca Logsdon Muenich · 2021 · Environmental Science & Technology Letters
97. Comparing the dynamics of COVID-19 infection and mortality in the United States, India, and Brazil
    Nick James, Max Menzies, Howard D. Bondell · 2022 · Physica D Nonlinear Phenomena
98. Interpretation and reporting of predictive or diagnostic machine-learning research in Trauma & Orthopaedics
    Luke Farrow, Mingjun Zhong, George P. Ashcroft, Lesley Anderson, R. M. Dominic Meek · 2021 · The Bone & Joint Journal
99. A robust and parsimonious machine learning method to predict ICU admission of COVID-19 patients
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100. Hybrid Deep Learning Techniques for Predicting Complex Phenomena: A Review on COVID-19
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