Review Paper of Nature-Based Optimization Algorithms for Medicine Predictor
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2021
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| _version_ | 1866901100640075776 |
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| author | Janhvi Guha Anjali Chouksey Purvi Khodwe Bhushan V. Inje |
| author_facet | Janhvi Guha Anjali Chouksey Purvi Khodwe Bhushan V. Inje |
| contents | In comparison to city people, rural residents have less access to healthcare in India. Few competent medical practitioners and healthcare facilities are available in these areas, making them mostly inaccessible to the poor. This problem may be solved by devising a system in which we feed symptoms into an optimization algorithm and return medication names, generic alternative medicines, diagnosis, and a list of nearby hospitals as outputs. This will be extremely beneficial to patients who are experiencing a medical issue. To do so, we identified three algorithms: the Whale Optimization algorithm, the Artificial Bee Colony Optimization algorithm, and the Particle Swarm Optimization algorithm, all of which have high accuracy and could be used with our dataset to provide accurate diagnoses and possible treatments. We also outlined the work's future scope, which includes recognizing crop diseases and anticipating machine maintenance. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18514888 |
| institution | Zenodo |
| language | |
| publishDate | 2021 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Review Paper of Nature-Based Optimization Algorithms for Medicine Predictor Janhvi Guha Anjali Chouksey Purvi Khodwe Bhushan V. Inje Artificial Bee Colony Algorithm Firefly Algorithm Nature-based Optimization Algorithms Particle Swarm Optimization Algorithm Whale Optimization Algorithm In comparison to city people, rural residents have less access to healthcare in India. Few competent medical practitioners and healthcare facilities are available in these areas, making them mostly inaccessible to the poor. This problem may be solved by devising a system in which we feed symptoms into an optimization algorithm and return medication names, generic alternative medicines, diagnosis, and a list of nearby hospitals as outputs. This will be extremely beneficial to patients who are experiencing a medical issue. To do so, we identified three algorithms: the Whale Optimization algorithm, the Artificial Bee Colony Optimization algorithm, and the Particle Swarm Optimization algorithm, all of which have high accuracy and could be used with our dataset to provide accurate diagnoses and possible treatments. We also outlined the work's future scope, which includes recognizing crop diseases and anticipating machine maintenance. |
| title | Review Paper of Nature-Based Optimization Algorithms for Medicine Predictor |
| topic | Artificial Bee Colony Algorithm Firefly Algorithm Nature-based Optimization Algorithms Particle Swarm Optimization Algorithm Whale Optimization Algorithm |
| url | https://doi.org/10.5281/zenodo.18514888 |