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:
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:
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
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
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
8)- Nick Williams. Building the observational medical outcomes partnership's T-MSIS Analytic File common data model.Informatics in medicine unlocked. 2023, 39:
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
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
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
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
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
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
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
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
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
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
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
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
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:
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
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
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
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
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
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
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
30)- Mohammad Dehghani, Fezzeh Ebrahimi. ParsBERT topic modeling of Persian scientific articles about COVID-19.Informatics in medicine unlocked. 2023, 36: 101144
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
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