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COVID Antworten in den wissenschaftlichen Zeitschriften der Welt


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Elsevier: Intelligence-Based Medicine
  Original Artikel Datum Titel Autoren   Alle Autoren
1 [GO] 2024―Mrz―27 Developing a decision model to early predict ICU admission for COVID-19 patients: A machine learning approach Abdulaziz Ahmed, Ferhat D. Zengul, Sheena Khan, Kristine R. Hearld, Sue S. Feldman, Allyson Hall, et al. (+3)
2 [GO] 2023―Nov―26 Malaysian cough sound analysis and COVID-19 classification with deep learning Sarah Jane Kho, Brian Loh Chung Shi, Vong Wan-Tze, Law Kian Boon, Mohan Dass Pathmanathan, Mohd Aizuddin Bin Abdul Rahman, et al. (+4)
3 [GO] 2022―Aug―06 Dynamic prediction of mortality in COVID-19 patients in the intensive care unit: A retrospective multi-center cohort study J.M. Smit, J.H. Krijthe, H. Endeman, A.N. Tintu, Y.B. de Rijke, D.A.M.P.J. Gommers, et al. (+41)
4 [GO] 2022―Jun―13 Clinical prediction system of complications among patients with COVID-19: A development and validation retrospective multicentre study during first wave of the pandemic Ghadeer O. Ghosheh, Bana Alamad, Kai-Wen Yang, Faisil Syed, Nasir Hayat, Imran Iqbal, et al. (+7)
5 [GO] 2022―Mai―20 VacSIM: Learning effective strategies for COVID-19 vaccine distribution using reinforcement learning Raghav Awasthi, Keerat Kaur Guliani, Saif Ahmad Khan, Aniket Vashishtha, Mehrab Singh Gill, Arshita Bhatt, et al. (+4)
6 [GO] 2022―Jan―13 Using artificial intelligence to risk stratify COVID-19 patients based on chest X-ray findings Diego A. Hipolito Canario, Eric Fromke, Matthew A. Patetta, Mohamed T. Eltilib, Juan P. Reyes-Gonzalez, Georgina Cornelio Rodriguez, et al. (+3)
7 [GO] 2021―Jun―17 A critical analysis of COVID-19 research literature: Text mining approach Ferhat D. Zengul, Ayse G. Zengul, Michael Mugavero, Nurettin Oner, Bunyamin Ozaydin, Dursun Delen, et al. (+3)
8 [GO] 2021―Mai―27 A Machine Learning Algorithm Predicts Duration of hospitalization in COVID-19 patients Joseph Ebinger, Matthew Wells, David Ouyang, Tod Davis, Noy Kaufman, Susan Cheng, Sumeet Chugh
9 [GO] 2021―Apr―21 Optimal Hyperparameter Selection of Deep Learning Models for COVID-19 Chest X-ray Classification Adeyinka P. Adedigba, Steve A. Adeshina, Oluwatomisin E. Aina, Abiodun M. Aibinu
10 [GO] 2021―Mrz―19 A super learner ensemble of 14 statistical learning models for predicting COVID-19 severity among patients with cardiovascular conditions Louis Ehwerhemuepha, Sidy Danioko, Shiva Verma, Rachel Marano, William Feaster, Sharief Taraman, et al. (+4)
11 [GO] 2021―Feb―21 An Ensemble Approach for Multi-Stage Transfer Learning Models for COVID-19 Detection from Chest CT Scans Jose Francisco Hernandez Santa Cruz
12 [GO] 2020―Dez―03 Outlier-SMOTE: A refined oversampling technique for improved detection of COVID-19 Venkata Pavan Kumar Turlapati, Manas Ranjan Prusty
13 [GO] 2020―Nov―19 COVID-19 Pneumonia Accurately Detected on Chest Radiographs with Artificial Intelligence Francisco Dorr, Hernán Chaves, María Mercedes Serra, Andrés Ramirez, Martín Elías Costa, Joaquín Seia, et al. (+61)
14 [GO] 2020―Nov―07 Artificial Intelligence and COVID-19: Present State and Future Vision Anthony C. Chang
15 [GO] 2020―Nov―05 Deep Learning and Its Role in COVID-19 Medical Imaging Sudhen B. Desai, Anuj Pareek, Matthew P. Lungren
16 [GO] 2020―Okt―02 Zero-Shot Learning and its Applications from Autonomous Vehicles to COVID-19 Diagnosis: A Review Mahdi Rezaei, Mahsa Shahidi
17 [GO] 2020―Okt―02 Synthea? Novel Coronavirus (COVID-19) Model and Synthetic Data Set Jason Walonoski, Sybil Klaus, Eldesia Granger, Dylan Hall, Andy Gregorowicz, Andy Gregorowicz, et al. (+3)
18 [GO] 2020―Aug―30 Unsupervised Learning for County-Level Typological Classification for COVID-19 Research Yuan Lai, Marie-Laure Charpignon, Daniel K. Ebner, Leo Anthony Celi
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