Letter to the editor: accuracy required in data entry when using machine learning techniques to predict risk of disease

Akash Korata Department of General Medicine, Pacific Medical college and hospital, Udaipur, 313001, Rajasthan, India

Dhaval Dobariyab Department of Pulmonary Medicine, Pacific Medical college and hospital, Girwa, Udaipur, Rajasthan, 313001, India

Imtiyaz Bavaliyac Department of OBGY, P.D. Hinduja Hospital, Khar, Mumbai, Maharashtra, 400052, India

Vikram Malid Department of Pediatrics, Banas Medical College & Research Institute and General Hospital, Palanpur, Gujarat, 385001, IndiaCorrespondence[email protected]

https://orcid.org/0000-0001-8709-0317

References

Patil R, Mukhida S, Ajagunde J, et al. Development of a machine learning model to predict risk of development of COVID-19-associated mucormycosis. 2024;19(4):297–305. doi:10.2217/fmb-2023-0190
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Abdulkader RS, Ponnaiah M, Bhatnagar T, et al. Baseline findings of a multicentric ambispective cohort study (2021-2022) among hospitalised mucormycosis patients in India. Mycology. 2024;15(1):70–84. doi:10.1080/21501203.2023.2271928
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Bressler N. How to Check the Accuracy of Your Machine Learning Model Published by deepchecks.com on 23rd November 2022. Available at: https://deepchecks.com/how-to-check-the-accuracy-of-your-machine-learning-model/ last accessed on 16th March 2024.
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