| |
Original Artikel |
Datum |
Titel |
Autoren Max. 6 Autoren |
| 1 |
[GO] |
2025―Sep―26 |
The incremental value of unstructured data via natural language processing in machine learning-based COVID-19 mortality prediction: a comparative study |
Rildo Pinto da Silva, Antonio Pazin-Filho |
| 2 |
[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, Emma Verelst, Bart Ilsen, Simon Van Eyndhoven, Lucie Seyler, Arne Witdouck, Gilles Darcis, Julien Guiot, Athanasios Giannakis, Jef Vandemeulebroucke |
| 3 |
[GO] |
2025―Mrz―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 |
| 4 |
[GO] |
2025―Mrz―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, Matt Thomas, Stefan Gurney, Catherine Hyams, Alastair Whiteway, Jennifer A. Cooper, Chris McWilliams, Katy Turner, Andrew W. Dowsey, Mahableshwar Albur |
| 5 |
[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 |
| 6 |
[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, Greta Clementi, Michaela Cellina, Andrea Cozzi, Chandra Bortolotto, Lorenzo Preda, Luisa Francini, Matteo Tortora, Isabella Castiglioni, Sergio Papa, Diego Sona, Marco Alì |
| 7 |
[GO] |
2024―Dez―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 |
| 8 |
[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, Greta Clementi, Michaela Cellina, Andrea Cozzi, Chandra Bortolotto, Lorenzo Preda, Luisa Francini, Matteo Tortora, Isabella Castiglioni, Sergio Papa, Diego Sona, Marco Alì |
| 9 |
[GO] |
2024―Okt―31 |
Informatics assessment of COVID-19 data collection: an analysis of UK Biobank questionnaire data |
Craig S. Mayer |
| 10 |
[GO] |
2024―Okt―31 |
Assessing the reliability of medical resource demand models in the context of COVID-19 |
Kimberly Dautel, Ephraim Agyingi, Pras Pathmanathan |
| 11 |
[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 |
| 12 |
[GO] |
2024―Mai―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, Baguma Steven, Denish Omoya Ochula, Patrick Odong Olwedo, Francis Pebalo Pebolo, Pamela Okot Atim, Godfrey Smart Okot, Ritah Nantale, Judith Aloyo, David Lagoro Kitara |
| 13 |
[GO] |
2024―Mai―22 |
Homeostasis imbalance process ontology: a study on COVID-19 infectious processes |
Yuki Yamagata, Tatsuya Kushida, Shuichi Onami, Hiroshi Masuya |
| 14 |
[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 |
| 15 |
[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 |
| 16 |
[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, Monique A.H. Steegers, Birkitt L. ten Tusscher, Margo M.C. van Mol, Lilian C.M. Vloet, Bregje D. Onwuteaka-Philipsen |
| 17 |
[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 |
| 18 |
[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 |
| 19 |
[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, Carissa Bonner, Tony Stanton, Michael Fryer, Rosemary Korda |
| 20 |
[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 |
| 21 |
[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, E. M. van Driel, T. Rijpstra, P. H. J. Elbers, A. P. I. Houwink, L. Georgieva, E. Verweij, R. M. de Jong, F. M. van Iersel, T. J. J. Koning, E. Rengers, N. Kusadasi, M. L. Erkamp, R. van den Berg, C. J. M. G. Jacobs, J. L. Epker, A. A. Rijkeboer, M. T. de Bruin, P. Spronk, A. Draisma, D. J. Versluis, A. E. van den Berg, M. Vrolijk-de Mos, J. A. Lens, R. V. Pruijsten, H. Kieft, J. Rozendaal, F. Nooteboom, D. P. Boer, I. T. A. Janssen, L. van Gulik, M. P. Koetsier, V. M. Silderhuis, R. M. Schnabel, I. Drogt, W. de Ruijter, R. J. Bosman, T. Frenzel, L. C. Urlings-Strop, A. Dijkhuizen, I. Z. Hené, A. R. de Meijer, J. W. M. Holtkamp, N. Postma, A. J. G. H. Bindels, R. M. J. Wesselink, E. R. van Slobbe-Bijlsma, P. H. J. van der Voort, B. J. W. Eikemans, D. Mehagnoul-Schipper, D. Gommers, J. G. Lutisan, M. Hoeksema, M. G. W. Barnas, B. Festen-Spanjer, M. van Lieshout, N. C. Gritters, M. van Tellingen, G. B. Brunnekreef, J. Vandeputte, T. P. J. Dormans, M. E. Hoogendoorn, M. de Graaff, D. Moolenaar, A. C. Reidinga, J. J. Spijkstra, R. de Waal, D. Ramnarain, D. W. de Lange, D. A. Dongelmans, N. F. de Keizer, A. Abu-Hanna |
| 22 |
[GO] |
2023―Dez―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, Hamed Rezakhani Moghaddam, Khadijeh Nasiri |
| 23 |
[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, Amirali Soheili, Mohammad Gharib, Hamid Abbasi |
| 24 |
[GO] |
2023―Sep―27 |
Memory rehabilitation during the COVID-19 pandemic |
José Luis Varela-Aldás, Jorge Buele, Doris Pérez, Guillermo Palacios-Navarro |
| 25 |
[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, G Johnston, L. Walker, E Peckham |
| 26 |
[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, Weiguo Zhu, Na Hong, Yun Long, Longxiang Su |
| 27 |
[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, Yu Qi, Ji-xian Zhang, Bo Xu |
| 28 |
[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, Zipeng Zhuo, Hongyu Liu, Hongying Wang, Xutong Qu, Changsong Wang, Haitao Liu, Kaijiang Yu |
| 29 |
[GO] |
2023―Jul―21 |
Machine learning-based mortality prediction models for smoker COVID-19 patients |
Ali Sharifi-Kia, Azin Nahvijou, Abbas Sheikhtaheri |
| 30 |
[GO] |
2023―Mai―10 |
Big knowledge visualization of the COVID-19 CIDO ontology evolution |
Ling Zheng, Yehoshua Perl, Yongqun He |
| 31 |
[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 |
| 32 |
[GO] |
2023―Mrz―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 |
| 33 |
[GO] |
2023―Mrz―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 |
| 34 |
[GO] |
2023―Mrz―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, Ahsen Atis, Mustafa Atar, Weina Chen, Ibrahim Ibrahim, Taha Bat, Mutlu Mete |
| 35 |
[GO] |
2023―Jan―26 |
Entity and relation extraction from clinical case reports of COVID-19: a natural language processing approach |
Shaina Raza, Brian Schwartz |
| 36 |
[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, Salah-Eddine Dahbi, Kentaro Hayashi, Deepak Kar, Mary Kawonga, Mduduzi Mbada, Kgomotso Monnakgotla, James Orbinski, Xifeng Ruan, Finn Stevenson, Jianhong Wu, Bruce Mellado |
| 37 |
[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, Rowena Griffiths, Laura Herbert, Sam Hollings, Spencer Keene, Kamlesh Khunti, Emily Lowthian, Jane Lyons, Mehrdad A. Mizani, John Nolan, Cathie Sudlow, Venexia Walker, William Whiteley, Angela Wood, Ashley Akbari |
| 38 |
[GO] |
2022―Dez―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, Tatiana Bolgeo, Marinella Bertolotti, Emanuele Rava, Antonio Maconi |
| 39 |
[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, Dirk Arnold, Martin Bergmann, Lorenz Nowak, Christian Gloeckner, Ina Koch, Martin Bachmann, Christoph U. Herborn, Axel Stang |
| 40 |
[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 |
| 41 |
[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, Marcello M. Magri, Gabriel Fialkovitz, Pedro H. M. F. Figueiredo, Rinaldo Focaccia Siciliano, Ester C. Sabino, Danilo P. N. Carlotti, Davi Silva Rodrigues, Fátima L. S. Nunes, João Eduardo Ferreira, Geraldo Busatto Filho, Eloisa Bonfá, Edivaldo Utiyama, Aluisio Segurado, Beatriz Perondi, Anna M. Morais, Amanda Montal, Solange Fusco, Marjorie Fregonesi, Marcelo Rocha, Izabel Marcilio, Izabel C. Rios, Y. O. Kawano, M. Amelia de Jesus, Esper G. Kallas, Carolina Marmo, Clarice Tanaka, Heraldo P. de Souza, Julio F. M. Marchini, Carlos Carvalho, Juliana C. Ferreira, Thais Guimaraes, Carolina S. Lazari, Alberto J. S. Duarte, M. Cristina Braido, P. B. Francisco, Silvia F. Costa |
| 42 |
[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, Ignace Kabano, Annie Uwimana, Jean N. Utumatwishima, Jean Damascene Kabakambira, Annette Uwineza, Lars Halvorsen, Freija Descamps, Jared Houghtaling, Benjamin Burke, Odile Bahati, Clement Bizimana, Stefan Jansen, Celestin Twizere, Kizito Nkurikiyeyezu, Francine Birungi, Sabin Nsanzimana, Marc Twagirumukiza |
| 43 |
[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 |
| 44 |
[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, Y. Zhang, A. Trotter, K. M. Kochendorfer, A. Boppana, H. Darabi |
| 45 |
[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 |
| 46 |
[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, Anna S. Levin, Maristela P. Freire, Leila S. Harima, Fátima L. S. Nunes, João Eduardo Ferreira, Geraldo Busatto, Eloisa Bonfá, Edivaldo Utiyama, Aluisio Segurado, Beatriz Perondi, Anna M. Morais, Amanda Montal, Solange Fusco, Marjorie Fregonesi, Marcelo Rocha, Izabel Marcilio, Izabel C. Rios, Fabiane Y. O. Kawano, M. Amelia de Jesus, Esper G. Kallas, Carolina Marmo, Clarice Tanaka, Heraldo P. de Souza, Julio F. M. Marchini, Carlos Carvalho, Juliana C. Ferreira, Thais Guimaraes, Carolina S. Lazari, Alberto J. S. Duarte, M. Cristina P. B. Francisco, Silvia F. Costa |
| 47 |
[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 |
| 48 |
[GO] |
2022―Mai―20 |
Predictive modeling for COVID-19 readmission risk using machine learning algorithms |
Mostafa Shanbehzadeh, Azita Yazdani, Mohsen Shafiee, Hadi Kazemi-Arpanahi |
| 49 |
[GO] |
2022―Mai―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, Sebastian Johann, Arie M. C. A. Koster, Sven O. Krumke, Frauke Liers, Eva Schmidt, Johanna Schneider, Manuel Streicher, Sebastian Tschuppik, Sophia Wrede |
| 50 |
[GO] |
2022―Mai―13 |
Readability, understandability and language accessibility of Swedish websites about the coronavirus disease 2019: a cross-sectional study |
Susanne Georgsson, Tommy Carlsson |
| 51 |
[GO] |
2022―Mai―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 |
| 52 |
[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 |
| 53 |
[GO] |
2022―Mrz―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, Ricardo A. Ramírez-Mendoza, Jianhong Wang |
| 54 |
[GO] |
2022―Jan―06 |
Priority and age specific vaccination algorithm for the pandemic diseases: a comprehensive parametric prediction model |
Onder Tutsoy, Mahmud Yusuf Tanrikulu |
| 55 |
[GO] |
2022―Jan―04 |
Comparing machine learning algorithms for predicting COVID-19 mortality |
Khadijeh Moulaei, Mostafa Shanbehzadeh, Zahra Mohammadi-Taghiabad, Hadi Kazemi-Arpanahi |
| 56 |
[GO] |
2021―Dez―17 |
Reinforcement learning assisted oxygen therapy for COVID-19 patients under intensive care |
Hua Zheng, Jiahao Zhu, Wei Xie, Judy Zhong |
| 57 |
[GO] |
2021―Nov―17 |
Automatic diagnosis of COVID-19 infection based on ontology reasoning |
Huanhuan Wu, Yichen Zhong, Yingjie Tian, Shan Jiang, Lingyun Luo |
| 58 |
[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 |
| 59 |
[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 |
| 60 |
[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 |
| 61 |
[GO] |
2021―Aug―03 |
COVID term: a bilingual terminology for COVID-19 |
Hetong Ma, Liu Shen, Haixia Sun, Zidu Xu, Li Hou, Sizhu Wu, An Fang, Jiao Li, Qing Qian |
| 62 |
[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 |
| 63 |
[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 |
| 64 |
[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, Julian Theis, John Zulueta, Houshang Darabi |
| 65 |
[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 |
| 66 |
[GO] |
2021―Mai―27 |
Maintaining proper health records improves machine learning predictions for novel 2019-nCoV |
Koffka Khan, Emilie Ramsahai |
| 67 |
[GO] |
2021―Mai―25 |
Classification of COVID-19 electrocardiograms by using hexaxial feature mapping and deep learning |
Mehmet Akif Ozdemir, Gizem Dilara Ozdemir, Onan Guren |
| 68 |
[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 |
| 69 |
[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 |
| 70 |
[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 |
| 71 |
[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 |
| 72 |
[GO] |
2020―Dez―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, Kai U. Heitmann, Jörg J. Vehreschild, Christof von Kalle, Sylvia Thun |
| 73 |
[GO] |
2020―Dez―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, C. F. Yiu, C. H. Wan, Libby H. Y. Lee |
| 74 |
[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 |
| 75 |
[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, Nabeela Mughal, Luke S. P. Moore |
| 76 |
[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, Lauren Apostol, Christine O. Honda, Jingyue Xu, Lindsay M. Wong, Tianyi Zhang, Abby Lee, Aditi Gnanasekar, Thomas K. Honda, Selena Z. Kuo, Michael Andrew Yu, Eric Y. Chang, Mahadevan “ Raj” Rajasekaran, Weg M. Ongkeko |
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