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COVID answers in Scientific Journals all over the world


75 Results       Page 1

 [1] 
Springer (Biomed Central Ltd.): BMC Medical Informatics and Decision Making
  original article Date Title Authors   All Authors
1 [GO] 2025―Apr―02 Development and multicentric external validation of a prognostic COVID-19 severity model based on thoracic CT Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Hichem Sahli, Nikos Deligiannis, et al. (+9)
2 [GO] 2025―Mar―24 COVID-19 vaccination and test management for healthcare workers-development, implementation and feasibility of a custom human resources information platform at a university hospital Matthias Bonigut, Ana Zhelyazkova, Mathias Weber, Stefanie Geiser-Metz, Markus Geis, Bernhard Heindl, Stephan Prückner
3 [GO] 2025―Mar―10 Comparing conventional and Bayesian workflows for clinical outcome prediction modelling with an exemplar cohort study of severe COVID-19 infection incorporating clinical biomarker test results Brian Sullivan, Edward Barker, Louis MacGregor, Leo Gorman, Philip Williams, Ranjeet Bhamber, et al. (+9)
4 [GO] 2025―Feb―11 Classifying and fact-checking health-related information about COVID-19 on Twitter/X using machine learning and deep learning models Elham Sharifpoor, Maryam Okhovati, Mostafa Ghazizadeh-Ahsaee, Mina Avaz Beigi
5 [GO] 2025―Feb―10 Correction: Machine learning predicts pulmonary long Covid sequelae using clinical data Ermanno Cordelli, Paolo Soda, Sara Citter, Elia Schiavon, Christian Salvatore, Deborah Fazzini, et al. (+11)
6 [GO] 2024―Dec―27 Reusing routine electronic health record data for nationwide COVID-19 surveillance in nursing homes: barriers, facilitators, and lessons learned Y Wieland-Jorna, RA Verheij, AL Francke, R Coppen, SC de Greeff, A Elffers, MG Oosterveld-Vlug
7 [GO] 2024―Nov―27 Machine learning predicts pulmonary Long Covid sequelae using clinical data Ermanno Cordelli, Paolo Soda, Sara Citter, Elia Schiavon, Christian Salvatore, Deborah Fazzini, et al. (+11)
8 [GO] 2024―Oct―31 Informatics assessment of COVID-19 data collection: an analysis of UK Biobank questionnaire data Craig S. Mayer
9 [GO] 2024―Oct―31 Assessing the reliability of medical resource demand models in the context of COVID-19 Kimberly Dautel, Ephraim Agyingi, Pras Pathmanathan
10 [GO] 2024―Jun―24 A tree-based explainable AI model for early detection of Covid-19 using physiological data Manar Abu Talib, Yaman Afadar, Qassim Nasir, Ali Bou Nassif, Haytham Hijazi, Ahmad Hasasneh
11 [GO] 2024―May―23 Trusted sources of information on COVID-19 vaccine in Uganda Johnson Nyeko Oloya, Nelson Onira Alema, Christopher Okot, Emmanuel Olal, Eric Nzirakaindi Ikoona, Freddy Wathum Drinkwater Oyat, et al. (+9)
12 [GO] 2024―May―22 Homeostasis imbalance process ontology: a study on COVID-19 infectious processes Yuki Yamagata, Tatsuya Kushida, Shuichi Onami, Hiroshi Masuya
13 [GO] 2024―Apr―19 An insight into the use of telemedicine technology for cancer patients during the Covid-19 pandemic: a scoping review Esmaeel Toni, Haleh Ayatollahi
14 [GO] 2024―Feb―19 Correction: Susceptibility of AutoML mortality prediction algorithms to model drift caused by the COVID pandemic Simone Maria Kagerbauer, Bernhard Ulm, Armin Horst Podtschaske, Dimislav Ivanov Andonov, Manfred Blobner, Bettina Jungwirth, Martin Graessner
15 [GO] 2024―Feb―12 Varying (preferred) levels of involvement in treatment decision-making in the intensive care unit before and during the COVID-19 pandemic: a mixed-methods study among relatives Sophie C. Renckens, H. Roeline Pasman, Zina Jorna, Hanna T. Klop, Chantal du Perron, Lia van Zuylen, et al. (+5)
16 [GO] 2024―Feb―02 Susceptibility of AutoML mortality prediction algorithms to model drift caused by the COVID pandemic Simone Maria Kagerbauer, Bernhard Ulm, Armin Horst Podtschaske, Dimislav Ivanov Andonov, Manfred Blobner, Bettina Jungwirth, Martin Graessner
17 [GO] 2024―Jan―31 O2 supplementation disambiguation in clinical narratives to support retrospective COVID-19 studies Akhila Abdulnazar, Amila Kugic, Stefan Schulz, Vanessa Stadlbauer, Markus Kreuzthaler
18 [GO] 2024―Jan―23 Participant characteristics and reasons for non-consent to health information linkage for research: experiences from the ATHENA COVID-19 study Kim Greaves, Amanda King, Zoltan Bourne, Jennifer Welsh, Mark Morgan, M. Ximena Tolosa, et al. (+4)
19 [GO] 2024―Jan―08 A command centre implementation before and during the COVID-19 pandemic in a community hospital Liza Grosman-Rimon, Pete Wegier, Ruben Rodriguez, Jane Casey, Susan Tory, Jhanvi Solanki, Barbara E. Collins
20 [GO] 2024―Jan―02 Development and evaluation of regression tree models for predicting in-hospital mortality of a national registry of COVID-19 patients over six pandemic surges M. C. Schut, D. A. Dongelmans, D. W. de Lange, S. Brinkman, D. P. Verbiest, L. F. te Velde, et al. (+71)
21 [GO] 2023―Dec―06 Design, development and evaluation of a mobile-based self-care application for patients with COVID-19 not requiring hospitalization; a study of Northwest of Iran Mohammad Heydari, Esmaeil Mehraeen, Elham Javaherikiyan, Nahid Mehrabi, Mostafa Langarizadeh, Vahideh Aghamohammadi, et al. (+2)
22 [GO] 2023―Nov―17 Visual transformer and deep CNN prediction of high-risk COVID-19 infected patients using fusion of CT images and clinical data Sara Saberi Moghadam Tehrani, Maral Zarvani, Paria Amiri, Zahra Ghods, Masoomeh Raoufi, Seyed Amir Ahmad Safavi-Naini, et al. (+3)
23 [GO] 2023―Sep―27 Memory rehabilitation during the COVID-19 pandemic José Luis Varela-Aldás, Jorge Buele, Doris Pérez, Guillermo Palacios-Navarro
24 [GO] 2023―Sep―26 Digital health literacy and digital engagement for people with severe mental ill health across the course of the COVID-19 pandemic in England P Spanakis, B Lorimer, E Newbronner, R Wadman, S Crosland, S Gilbody, et al. (+3)
25 [GO] 2023―Sep―15 Measuring the worldwide spread of COVID-19 using a comprehensive modeling method Xiang Zhou, Xudong Ma, Sifa Gao, Yingying Ma, Jianwei Gao, Huizhen Jiang, et al. (+4)
26 [GO] 2023―Aug―29 Interpretable machine-learning model for Predicting the Convalescent COVID-19 patients with pulmonary diffusing capacity impairment Fu-qiang Ma, Cong He, Hao-ran Yang, Zuo-wei Hu, He-rong Mao, Cun-yu Fan, et al. (+3)
27 [GO] 2023―Aug―09 The accuracy of artificial intelligence in predicting COVID-19 patient mortality: a systematic review and meta-analysis Yu Xin, Hongxu Li, Yuxin Zhou, Qing Yang, Wenjing Mu, Han Xiao, et al. (+7)
28 [GO] 2023―Jul―21 Machine learning-based mortality prediction models for smoker COVID-19 patients Ali Sharifi-Kia, Azin Nahvijou, Abbas Sheikhtaheri
29 [GO] 2023―May―10 Big knowledge visualization of the COVID-19 CIDO ontology evolution Ling Zheng, Yehoshua Perl, Yongqun He
30 [GO] 2023―Apr―12 Impact of the Covid-19 pandemic on the performance of machine learning algorithms for predicting perioperative mortality D. I. Andonov, B. Ulm, M. Graessner, A. Podtschaske, M. Blobner, B. Jungwirth, S. M. Kagerbauer
31 [GO] 2023―Mar―26 Predictive algorithm for the regional spread of coronavirus infection across the Russian Federation Andrey Reshetnikov, Vitalii Berdutin, Alexander Zaporozhtsev, Sergey Romanov, Olga Abaeva, Nadezhda Prisyazhnaya, Nadezhda Vyatkina
32 [GO] 2023―Mar―08 Rapid response nursing triage outcomes for COVID-19: factors associated with patient’s participation in triage recommendations Jyu-Lin Chen, Chen-Xi Lin, Mijung Park, Jerry John Nutor, Rosalind de Lisser, Thomas J. Hoffmann, Hannah J. Kim
33 [GO] 2023―Mar―07 Machine learning prediction for COVID-19 disease severity at hospital admission Ganesh Raman, Bilal Ashraf, Yusuf Kemal Demir, Corey D. Kershaw, Sreekanth Cheruku, Murat Atis, et al. (+6)
34 [GO] 2023―Jan―26 Entity and relation extraction from clinical case reports of COVID-19: a natural language processing approach Shaina Raza, Brian Schwartz
35 [GO] 2023―Jan―26 Big data- and artificial intelligence-based hot-spot analysis of COVID-19: Gauteng, South Africa, as a case study Benjamin Lieberman, Jude Dzevela Kong, Roy Gusinow, Ali Asgary, Nicola Luigi Bragazzi, Joshua Choma, et al. (+11)
36 [GO] 2023―Jan―16 Harmonising electronic health records for reproducible research: challenges, solutions and recommendations from a UK-wide COVID-19 research collaboration Hoda Abbasizanjani, Fatemeh Torabi, Stuart Bedston, Thomas Bolton, Gareth Davies, Spiros Denaxas, et al. (+14)
37 [GO] 2022―Dec―28 A machine learning approach for predicting high risk hospitalized patients with COVID-19 SARS-Cov-2 Alessio Bottrighi, Marzio Pennisi, Annalisa Roveta, Costanza Massarino, Antonella Cassinari, Marta Betti, et al. (+4)
38 [GO] 2022―Nov―28 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 Aaron W. Sievering, Peter Wohlmuth, Nele Geßler, Melanie A. Gunawardene, Klaus Herrlinger, Berthold Bein, et al. (+8)
39 [GO] 2022―Nov―02 A novel deep learning-based method for COVID-19 pneumonia detection from CT images Ju Luo, Yuhao Sun, Jingshu Chi, Xin Liao, Canxia Xu
40 [GO] 2022―Sep―21 Correlating drug prescriptions with prognosis in severe COVID-19: first step towards resource management Anna S. Levin, Maristela P. Freire, Maura Salaroli de Oliveira, Ana Catharina S. Nastri, Leila S. Harima, Lauro Vieira Perdigão-Neto, et al. (+36)
41 [GO] 2022―Aug―12 Leveraging artificial intelligence and data science techniques in harmonizing, sharing, accessing and analyzing SARS-COV-2/COVID-19 data in Rwanda (LAISDAR Project): study design and rationale Aurore Nishimwe, Charles Ruranga, Clarisse Musanabaganwa, Regine Mugeni, Muhammed Semakula, Joseph Nzabanita, et al. (+17)
42 [GO] 2022―Aug―03 Challenges of Telemedicine during the COVID-19 pandemic: a systematic review Racha Ftouni, Baraa AlJardali, Maya Hamdanieh, Louna Ftouni, Nariman Salem
43 [GO] 2022―Jul―25 A process mining- deep learning approach to predict survival in a cohort of hospitalized COVID-19 patients M. Pishgar, S. Harford, J. Theis, W. Galanter, J. M. Rodríguez-Fernández, L. H Chaisson, et al. (+5)
44 [GO] 2022―Jul―24 Application of machine learning models based on decision trees in classifying the factors affecting mortality of COVID-19 patients in Hamadan, Iran Samad Moslehi, Niloofar Rabiei, Ali Reza Soltanian, Mojgan Mamani
45 [GO] 2022―Jul―17 Predicting the outcome for COVID-19 patients by applying time series classification to electronic health records Davi Silva Rodrigues, Ana Catharina S. Nastri, Marcello M. Magri, Maura Salaroli de Oliveira, Ester C. Sabino, Pedro H. M. F. Figueiredo, et al. (+31)
46 [GO] 2022―Jun―02 Expediting knowledge acquisition by a web framework for Knowledge Graph Exploration and Visualization (KGEV): case studies on COVID-19 and Human Phenotype Ontology Jacqueline Peng, David Xu, Ryan Lee, Siwei Xu, Yunyun Zhou, Kai Wang
47 [GO] 2022―May―20 Predictive modeling for COVID-19 readmission risk using machine learning algorithms Mostafa Shanbehzadeh, Azita Yazdani, Mohsen Shafiee, Hadi Kazemi-Arpanahi
48 [GO] 2022―May―14 Decision-support systems for ambulatory care, including pandemic requirements: using mathematically optimized solutions Neele Leithäuser, Dennis Adelhütte, Kristin Braun, Christina Büsing, Martin Comis, Timo Gersing, et al. (+9)
49 [GO] 2022―May―13 Readability, understandability and language accessibility of Swedish websites about the coronavirus disease 2019: a cross-sectional study Susanne Georgsson, Tommy Carlsson
50 [GO] 2022―May―05 A novel reliability-based regression model to analyze and forecast the severity of COVID-19 patients Negar Bakhtiarvand, Mehdi Khashei, Mehdi Mahnam, Somayeh Hajiahmadi
51 [GO] 2022―Apr―13 Survey of the patients' perspectives and preferences in adopting telepharmacy versus in-person visits to the pharmacy: a feasibility study during the COVID-19 pandemic Khadijeh Moulaei, Mostafa Shanbehzadeh, Kambiz Bahaadinbeigy, Hadi Kazemi-Arpanahi
52 [GO] 2022―Mar―28 Prognosis patients with COVID-19 using deep learning José Luis Guadiana-Alvarez, Fida Hussain, Ruben Morales-Menendez, Etna Rojas-Flores, Arturo García-Zendejas, Carlos A. Escobar, et al. (+2)
53 [GO] 2022―Jan―06 Priority and age specific vaccination algorithm for the pandemic diseases: a comprehensive parametric prediction model Onder Tutsoy, Mahmud Yusuf Tanrikulu
54 [GO] 2022―Jan―04 Comparing machine learning algorithms for predicting COVID-19 mortality Khadijeh Moulaei, Mostafa Shanbehzadeh, Zahra Mohammadi-Taghiabad, Hadi Kazemi-Arpanahi
55 [GO] 2021―Dec―17 Reinforcement learning assisted oxygen therapy for COVID-19 patients under intensive care Hua Zheng, Jiahao Zhu, Wei Xie, Judy Zhong
56 [GO] 2021―Nov―17 Automatic diagnosis of COVID-19 infection based on ontology reasoning Huanhuan Wu, Yichen Zhong, Yingjie Tian, Shan Jiang, Lingyun Luo
57 [GO] 2021―Aug―30 YouTube as a source of information during the Covid-19 pandemic: a content analysis of YouTube videos published during January to March 2020 Lambodara Parabhoi, Ramani Ranjan Sahu, Rebecca Susan Dewey, Manoj Kumar Verma, Arbind Kumar Seth, Damodar Parabhoi
58 [GO] 2021―Aug―25 Patient connectivity with healthcare professionals and health insurer using digital health technologies during the COVID-19 pandemic: a German cross-sectional study Niels Hannemann, Nina-Alexandra Götz, Lisa Schmidt, Ursula Hübner, Birgit Babitsch
59 [GO] 2021―Aug―09 Learnings from the design and acceptance of the German COVID-19 tracing app for IS-driven crisis management: a design science research Alina Behne, Nicolai Krüger, Jan Heinrich Beinke, Frank Teuteberg
60 [GO] 2021―Aug―03 COVID term: a bilingual terminology for COVID-19 Hetong Ma, Liu Shen, Haixia Sun, Zidu Xu, Li Hou, Sizhu Wu, et al. (+3)
61 [GO] 2021―Jul―31 Impact of an interactive web tool on patients’ intention to receive COVID-19 vaccination: a before-and-after impact study among patients with chronic conditions in France Viet-Thi Tran, Stéphanie Sidorkiewicz, Clarisse Péan, Philippe Ravaud
62 [GO] 2021―Jul―30 Quantum algorithm for quicker clinical prognostic analysis: an application and experimental study using CT scan images of COVID-19 patients Kinshuk Sengupta, Praveen Ranjan Srivastava
63 [GO] 2021―Jul―24 Predicting clinical outcomes among hospitalized COVID-19 patients using both local and published models William Galanter, Jorge Mario Rodríguez-Fernández, Kevin Chow, Samuel Harford, Karl M. Kochendorfer, Maryam Pishgar, et al. (+3)
64 [GO] 2021―Jun―25 Usefulness of smartphone use among surgeons in clinical practice during the pandemic of COVID-19: a cross-sectional study Ali Jasem Bꮺs, Saad Aldousari, Adel K. Ayed, Maryam Safar, Omar Alkandari
65 [GO] 2021―May―27 Maintaining proper health records improves machine learning predictions for novel 2019-nCoV Koffka Khan, Emilie Ramsahai
66 [GO] 2021―May―25 Classification of COVID-19 electrocardiograms by using hexaxial feature mapping and deep learning Mehmet Akif Ozdemir, Gizem Dilara Ozdemir, Onan Guren
67 [GO] 2021―Apr―27 Construction of a demand and capacity model for intensive care and hospital ward beds, and mortality from COVID-19 Christopher Martin, Stuart McDonald, Steve Bale, Michiel Luteijn, Rahul Sarkar
68 [GO] 2021―Apr―08 Physiotherapists’ perceptions of and willingness to use telerehabilitation in Kuwait during the COVID-19 pandemic Sarah Ibraheem Albahrouh, Ali Jasem Bꮺs
69 [GO] 2021―Feb―08 Predicting COVID-19 disease progression and patient outcomes based on temporal deep learning Chenxi Sun, Shenda Hong, Moxian Song, Hongyan Li, Zhenjie Wang
70 [GO] 2021―Jan―07 Computational analysis to repurpose drugs for COVID-19 based on transcriptional response of host cells to SARS-CoV-2 Fuhai Li, Andrew P. Michelson, Randi Foraker, Ming Zhan, Philip R. O. Payne
71 [GO] 2020―Dec―21 The German Corona Consensus Dataset (GECCO): a standardized dataset for COVID-19 research in university medicine and beyond Julian Sass, Alexander Bartschke, Moritz Lehne, Andrea Essenwanger, Eugenia Rinaldi, Stefanie Rudolph, et al. (+4)
72 [GO] 2020―Dec―07 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 S. M. Lui, Pauline P. S. Woo, Alan T. L. Cheung, Peggo K. W. Lam, Van T. W. Tang, et al. (+3)
73 [GO] 2020―Nov―30 The emerging COVID-19 research: dynamic and regularly updated science maps and analyses Njål Andersen, Jørgen G. Bramness, Ingunn Olea Lund
74 [GO] 2020―Nov―19 Comparison of deep learning with regression analysis in creating predictive models for SARS-CoV-2 outcomes Ahmed Abdulaal, Aatish Patel, Esmita Charani, Sarah Denny, Saleh A. Alqahtani, Gary W. Davies, et al. (+2)
75 [GO] 2020―Sep―29 Using machine learning of clinical data to diagnose COVID-19: a systematic review and meta-analysis Wei Tse Li, Jiayan Ma, Neil Shende, Grant Castaneda, Jaideep Chakladar, Joseph C. Tsai, et al. (+13)
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75 Results       Page 1


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