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  • Informatics in Medicine Unlocked: 2023, vol: , issue:
  • 1)- Craig S Mayer. Conversion of CPRD AURUM Data into the OMOP Common Data Model. Informatics in medicine unlocked. 2023, 43:
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  • 2)- Yue Liang, Pui Ying Yew, Matt Loth, Terrence J Adam, Julian Wolfson, Peter J Tonellato, Chin-Lin Chi. Personalized statin treatment plan using counterfactual approach with multi-objective optimization over benefits and risks. Informatics in medicine unlocked. 2023, 42:
    Cited : 0
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  • 3)- Ploypun Narindrarangkura, Patricia E Alafaireet, Uzma Khan, Min Soon Kim. Association rule mining of real-world data: Uncovering links between race, glycemic control, lipid profiles, and suicide attempts in individuals with diabetes. Informatics in medicine unlocked. 2023, 42:
    Cited : 0
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  • 4)- Jeffry Medina-Barandica, Neyder Contreras-Puentes, Arnulfo Tarón-Dunoyer, Marlene Durán-Lengua, Antistio Alviz-Amador. study for the identification of potential destabilizers between the spike protein of SARS-CoV-2 and human ACE-2. Informatics in medicine unlocked. 2023, 40: 101278
    Cited : 6
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  • 5)- Sara Al Hajj Ibrahim, Khalil El-Khatib. To segment or not to segment: COVID-19 detection for chest X-rays. Informatics in medicine unlocked. 2023, 40: 101280
    Cited : 0
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  • 6)- Muhammad Shahab, Shahina Akter, Md Murshed Hasan Sarkar, Tanjina Akhtar Banu, Barna Goswami, Sanjana Fatema Chowdhury, Showti Raheel Naser, Md Ahashan Habib, Aftab Ali Shaikh, Morteza Saki, Guojun Zheng, Md Salim Khan. Computational design of medicinal compounds to inhibit RBD-hACE2 interaction in the Omicron variant: unveiling a vulnerable target site. Informatics in medicine unlocked. 2023, 40: 101281
    Cited : 9
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  • 7)- Md Arju Hossain, Md Sohel, Tayeba Sultana, Md Imran Hasan, Md Sharif Khan, K M Kaderi Kibria, S M Hasan Mahmud, Md Habibur Rahman. Study of kaempferol in the treatment of COVID-19 combined with Chikungunya co-infection by network pharmacology and molecular docking technology. Informatics in medicine unlocked. 2023, 40: 101289
    Cited : 6
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  • 8)- Nick Williams. Building the observational medical outcomes partnership's T-MSIS Analytic File common data model. Informatics in medicine unlocked. 2023, 39:
    Cited : 1
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  • 9)- Mahajabin Snigdha, Azifa Akter, Md Al Amin, Md Zahidul Islam. Bioinformatics approach to analyse COVID-19 biomarkers accountable for generation of intracranial aneurysm in COVID-19 patients. Informatics in medicine unlocked. 2023, 39: 101247
    Cited : 1
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  • 10)- Laiali Alquraan, Karem H Alzoubi, Suzie Y Rababa'h. Mutations of SARS-CoV-2 and their impact on disease diagnosis and severity. Informatics in medicine unlocked. 2023, 39: 101256
    Cited : 11
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  • 11)- Xiaomei Zhang, Haoying Ren, Lei Gao, Ben-Chang Shia, Ming-Chih Chen, Linglong Ye, Ruojia Wang, Lei Qin. Identifying the predictors of severe psychological distress by auto-machine learning methods. Informatics in medicine unlocked. 2023, 39: 101258
    Cited : 0
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  • 12)- Marwan Jabr Alwazzeh, Arun Vijay Subbarayalu, Batool Mohammed Abu Ali, Reema Alabdulqader, Mashael Alhajri, Sara M Alwarthan, Bashayer M AlShehail, Vinoth Raman, Fahd Abdulaziz Almuhanna. Performance of CURB-65 and ISARIC 4C mortality scores for hospitalized patients with confirmed COVID-19 infection in Saudi Arabia. Informatics in medicine unlocked. 2023, 39: 101269
    Cited : 2
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  • 13)- Milena Falcaro, Peter Sasieni, Alejandra Castañon. audit_cc: A Stata command for the analysis of matched case-control audits of cervical cancer screening. Informatics in medicine unlocked. 2023, 38: 101182
    Cited : 0
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  • 14)- Goli Arji, Hossein Ahmadi, Pejman Avazpoor, Morteza Hemmat. Identifying resilience strategies for disruption management in the healthcare supply chain during COVID-19 by digital innovations: A systematic literature review. Informatics in medicine unlocked. 2023, 38: 101199
    Cited : 33
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  • 15)- Marc Vasse, Dmitry Sukhachev, Marie-Christine Ballester, Frédérique Delcominette, François Mellot, Florence Habarou, Aurélie Védrenne, Emilie Jolly, Elena Sukhacheva, Eric Farfour, Tiffany Pascreau. Prognostic value of cellular population data in patients with COVID-19. Informatics in medicine unlocked. 2023, 38: 101207
    Cited : 2
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  • 16)- Ayodeji Adedayo, Ayodeji Famuti. In-silico studies of extracts as potential candidates against SARS-CoV-2 targeting human main protease enzyme (M). Informatics in medicine unlocked. 2023, 38: 101216
    Cited : 1
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  • 17)- Kamaleldin B Said, Ahmed Alsolami, Fawaz Alshammari, Khalid Farhan Alshammari, Meshari Alazmi, Tulika Bhardwaj, Mohammad Zeeshan Najm, Rajeev Singh, Mohd Adnan Kausar. Molecular evolutionary model based on phylogenetic and mutation analysis of SARS-CoV-2 spike protein sequences from Asian countries: A phylogenomic approach. Informatics in medicine unlocked. 2023, 38: 101221
    Cited : 3
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  • 18)- Raymond C Ibeh, Gavin C Ikechukwu, Chinonyerem J Ukweni, Israel C Omekara, Amanda U Ezirim, Favour N Ujowundu, Ebere O Eziefuna, Callistus I Iheme, Sunday O Oyedemi, Hezekiel M Kumalo, Umar Ndagi, Monsurat M Lawal. Computational studies of potential antiviral compounds from some selected Nigerian medicinal plants against SARS-CoV-2 proteins. Informatics in medicine unlocked. 2023, 38: 101230
    Cited : 0
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  • 19)- Ram Singh, Attiq Ul Rehman, Tanveer Ahmed, Khalil Ahmad, Shubham Mahajan, Amit Kant Pandit, Laith Abualigah, Amir H Gandomi. Mathematical modelling and analysis of COVID-19 and tuberculosis transmission dynamics. Informatics in medicine unlocked. 2023, 38: 101235
    Cited : 8
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  • 20)- Reza Maddah, Vahid Goodarzi, Seyedeh-Leili Asadi-Yousefabad, Mahbobe Abbasluo, Parvin Shariati, Amir Shafiei Kafraj. Evaluation of the gut microbiome associated with COVID-19. Informatics in medicine unlocked. 2023, 38: 101239
    Cited : 12
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  • 21)- Charles A Ellis, Robyn L Miller, Vince D Calhoun. Towards greater neuroimaging classification transparency via the integration of explainability methods and confidence estimation approaches. Informatics in medicine unlocked. 2023, 37:
    Cited : 9
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  • 22)- Tareque Rahman Ornob, Gourab Roy, Enamul Hassan. CovidExpert: A Triplet Siamese Neural Network framework for the detection of COVID-19. Informatics in medicine unlocked. 2023, 37: 101156
    Cited : 5
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  • 23)- Victor Chukwudi Osamor, Excellent Ikeakanam, Janet U Bishung, Theresa N Abiodun, Raphael Henshaw Ekpo. COVID-19 Vaccines: Computational tools and Development. Informatics in medicine unlocked. 2023, 37: 101164
    Cited : 11
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  • 24)- Peter Ifeoluwa Adegbola, Olumide Samuel Fadahunsi, Oluwasayo Esther Ogunjinmi, Aanuoluwa Eunice Adegbola, Fiyinfoluwa Demilade Ojeniyi, Adetayo Adesanya, Emmanuel Olagoke, Ayobami Damilare Adisa, Adeola Folasade Ehigie, Adewale Adetutu, Banjo Semire. Potential inhibitory properties of structurally modified quercetin/isohamnetin glucosides against SARS-CoV-2 Mpro; molecular docking and dynamics simulation strategies. Informatics in medicine unlocked. 2023, 37: 101167
    Cited : 2
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  • 25)- Philipp Wendland, Vanessa Schmitt, Jörg Zimmermann, Lukas Häger, Siri Göpel, Christof Schenkel-Häger, Maik Kschischo. Machine learning models for predicting severe COVID-19 outcomes in hospitals. Informatics in medicine unlocked. 2023, 37: 101188
    Cited : 8
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  • 26)- M Majam, B Segal, J Fieggen, Eli Smith, L Hermans, L Singh, M Phatsoane, L Arora, S T Lalla-Edward. Utility of a machine-guided tool for assessing risk behaviour associated with contracting HIV in three sites in South Africa. Informatics in medicine unlocked. 2023, 37: 101192
    Cited : 2
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  • 27)- Zahra Galavi, Reza Khajouei, Yones Jahani. The role of e-health on the public knowledge and behavior in preventing COVID-19. Informatics in medicine unlocked. 2023, 37: 101193
    Cited : 0
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  • 28)- Lydie Mpinganzima, Jean Marie Ntaganda, Wellars Banzi, Jean Pierre Muhirwa, Betty Kivumbi Nannyonga, Japhet Niyobuhungiro, Eric Rutaganda. Analysis of COVID-19 mathematical model for predicting the impact of control measures in Rwanda. Informatics in medicine unlocked. 2023, 37: 101195
    Cited : 2
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  • 29)- Daniela M H Padilha, Gabriel R Garcia, Gianni S S Liveraro, Maria C S Mendes, Maria E S Takahashi, Fabiana Lascala, Marina N Silveira, Lara Pozzuto, Larissa A O Carrilho, Lívia D Guerra, Rafaella C L Moreira, Sandra R Branbilla, Sérgio S J Dertkigil, Jun Takahashi, José B C Carvalheira. Construction of a nomogram for predicting COVID-19 in-hospital mortality: A machine learning analysis. Informatics in medicine unlocked. 2023, 36: 101138
    Cited : 3
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  • 30)- Mohammad Dehghani, Fezzeh Ebrahimi. ParsBERT topic modeling of Persian scientific articles about COVID-19. Informatics in medicine unlocked. 2023, 36: 101144
    Cited : 4
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  • 31)- Nahid Shahabadi, Saba Zendehcheshm, Mohammad Mahdavi, Fatemeh Khademi. Repurposing FDA-approved drugs cetilistat, abiraterone, diiodohydroxyquinoline, bexarotene, and remdesivir as potential inhibitors against RNA dependent RNA polymerase of SARS-CoV-2: A comparative in silico perspective. Informatics in medicine unlocked. 2023, 36: 101147
    Cited : 5
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  • 32)- Ilknur Tuncer, Prabal Datta Barua, Sengul Dogan, Mehmet Baygin, Turker Tuncer, Ru-San Tan, Chai Hong Yeong, U Rajendra Acharya. Swin-textural: A novel textural features-based image classification model for COVID-19 detection on chest computed tomography. Informatics in medicine unlocked. 2023, 36: 101158
    Cited : 10
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  • 33)- Soodeh Mahdian, Mahboobeh Zarrabi, Yunes Panahi, Somayyeh Dabbagh Sadeghpour. Corrigendum to ‟Repurposing FDA-approved drugs to fight COVID-19 using in silico methods: Targeting SARS-CoV-2 RdRp enzyme and host cell receptors (ACE2, CD147) through virtual screening and molecular dynamic simulationsˮ [Inform. Med. Unlocked 23 (2021) 1-9/100541]. Informatics in medicine unlocked. 2023, : 101263
    Cited : 1
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