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Artificial Intelligence in Health COVID-19 diagnosis: FPA, k-NN, and SVM classifiers

Firefly-Algorithm Supported Scheme to Detect COVID-19 52. Atta A, Sultan K, Naseer I, et al. Supervised machine
Lesion in Lung CT Scan Images using Shannon Entropy and learning-based prediction of COVID-19. Comput Mater
Markov Random Field. [arXiv Preprint]. Contin. 2021;69(1):21-34.
41. Chandra SC. Segmentation and evaluation of COVID- doi: 10.32604/cmc.2021.013453
19 lesion from CT scan slices-a study with Kapur/Otsu 53. Rajinikanth V, Dey N, Raj AN, et al. Harmony Search and
function and Cuckoo Search Algorithm. 2020. Otsu based System for Coronavirus Disease (COVID-19)
doi: 10.21203/rs.3.rs-40148/v1 Detection Using Lung CT Scan images. arXiv [Preprint].
42. Mohammed SN, Alkinani FS, Hassan YA. Automatic 54. Tongxue Z, Canu S, Ruan S. An Automatic COVID-19 CT
computer-aided diagnostic for COVID-19 based on chest Segmentation Network Using Spatial and Channel Attention
X-ray image and particle swarm intelligence. Int J Intell Eng Mechanism. [arXiv Preprint].
Syst. 2020;13(5):63-73. 55. Mobiny A, Cicalese PA, Zare S, et al. Radiologist-level
43. Bhargava A, Bansal A, Goyal V. Machine learning-based COVID-19 Detection Using CT Scans with Detail-oriented
automatic detection of novel coronavirus (COVID-19) Capsule Networks. [arXiv Preprint].
disease. Multimed Tools Appl. 2022;81(10):13731-13750. 56. Hasoon JN, Fadel AH, Hameed RS, et al. COVID-19
doi: 10.1007/s11042-022-12508-9 anomaly detection and classification method based on
supervised machine learning of chest X-ray image. Results
44. Shankar K, Mohanty SN, Yadav K, Gopalakrishnan T, Phys. 2021;31:105045.
Elmisery AM. Automated COVID-19 diagnosis and
classification using convolutional neural network with 57. Mahdy LN, Ezzat KA, Elmousalami HH, et al. Automatic
fusion based feature extraction model. Cogn Neurodyn. X-ray COVID-19 Lung Image Classification System Based
2021;10:1-4. on Multi-level Thresholding and Support Vector Machine.
MedRxiv; 2020. p. 2020-2023.
doi: 10.1007/s11571-021-09712-y
58. Elizabeth DS, Raj CS, Nehemiah HK, Kannan A. A novel
45. Kadry S, Rajinikanth V, Rho S, et al. Development of a segmentation approach for improving diagnostic accuracy
Machine-learning System to Classify Lung CT Scan Images of CAD systems for detecting lung cancer from chest
into Normal/COVID-19 Class. arXiv [Preprint] computed tomography images. J Data Inf Qual. 2012;3:1-16.
46. Wu G, Zhou S, Wang Y, et al. A prediction model of outcome 59. Rachel RB, Nehemiah HK, Marishanjunath CS,
of SARS-CoV-2 pneumonia based on laboratory findings. Manoharan RM. Diagnosis of pulmonary edema and
Sci Rep. 2020;10(1):14042. COVID-19 from CT slices using squirrel search algorithm,
support vector machine and back propagation neural
doi: 10.1038/s41598-020-71114-7
network. J Intell Fuzzy Syst. 2023;44:1-4.
47. Banerjee A, Ray S, Vorselaars B, et al. Use of machine doi: 10.3233/JIFS-222564
learning and artificial intelligence to predict SARS-CoV-2
infection from full blood counts in a population. Int 60. Rachel RB, Nehemiah HK, Singh VK, Manoharan RM.
Immunopharmacol. 2020;86:106705. Diagnosis of COVID-19 from CT slices using whale
optimization algorithm, support vector machine and multi-
doi: 10.1016/j.intimp.2020.106705 layer perceptron. J Xray Sci Technol. 2023;32:253-269.
48. Moutaz A, Awajan A, Mesleh A, Alhyari S. COVID-19 doi: 10.3233/XST-230196
prediction and detection using deep learning. Int J Comput
Inf Syst Ind Manag Appl. 2020;12:11-14. 61. Anisha I, Nehemiah HK, Anubha I, Kannan A. Computer-
Aided Diagnosis system for diagnosis of pulmonary
49. Feng C, Wang L, Chen X, et al. A Novel Triage Tool of Artificial emphysema using bio-inspired algorithms. Comput Biol
Intelligence-assisted Diagnosis Aid System for Suspected Med. 2020;124:103940.
COVID-19 Pneumonia in Fever Clinics. MedRxiv; 2020.
doi: 10.1016/j.compbiomed.2020.103940
50. Najjar FH, Kadhim KA, Kareem MH, et al. Classification
of COVID-19 from X-ray images using GLCM features 62. Glover B. Understanding Flowers and Flowering: An
and machine learning. Malays J Fundam Appl Sci. Integrated Approach. Oxford: Oxford University Press; 2007.
2023;19(6):389-398. 63. Kalra S, Arora S. Firefly Algorithm Hybridized with Flower
Pollination Algorithm for Multimodal Functions. In:
doi: 10.11113/mjfas.v19n3.2911
Proceedings of the International Congress on Information
51. Maryam A, Ahmad I, Imtiaz A, Mohammed A. Ensemble and Communication Technology. Germany: Springer; 2016.
learning model for diagnosing COVID-19 from routine p. 207-219.
blood tests. Inform Med Unlocked. 2020;21:100449.
64. Yang XS. Flower Pollination Algorithm for Global
doi: 10.1016/j.imu.2020.100449 Optimization. In: International Conference on

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