Publications by authors named "Mian Haider Ali"
Article Synopsis
- * Out of 7764 records reviewed, 100 models were included, primarily for diagnosis, with most showing high risk of bias and none currently implemented in clinical settings.
- * The study found that models incorporating clinical predictors had better performance, suggesting future research should address the limitations and aim for practical applications in treatment and outcome prediction.
In this paper, we have focused on machine learning (ML) feature selection (FS) algorithms for identifying and diagnosing multidrug-resistant (MDR) tuberculosis (TB). MDR-TB is a universal public health problem, and its early detection has been one of the burning issues. The present study has been conducted in the Malakand Division of Khyber Pakhtunkhwa, Pakistan, to further add to the knowledge on the disease and to deal with the issues of identification and early detection of MDR-TB by ML algorithms.
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