Research Article
Supervised Machine Learning Empowered Multifactorial Genetic Inheritance Disorder Prediction
Table 11
Comparative analysis with previous work.
| Work | Model | Dataset | Classification accuracy (%) |
| Kee Pang Soh et al. [20] | Logistic regression, random forest | Cancer mutate data | 77.7 | Javier De Velasco Oriol et al. [21] | Linear ML | SNP dataset | 75 | Bassam Farran et al. [22] | Logistic regression, KNN | Kuwait health network data | 81.3 | Proposed model for prediction of dementia, cancer, and diabetes | Machine learning (SVM and KNN) | Genome disorder data | 92.5 |
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