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MDPI

Tongue Disease Prediction Based on Machine Learning Algorithms

MDPI
Summary
Nutrition label

79% Informative

The method avoids matrix computations, mathematical optimization, etc., so its application is comparatively straightforward.

K-Nearest Neighbors Classification ( KNN ) is crucial in the KNN classifier.

The model leverages polynomial or binary data. The approach permits the application of different datasets. 3.3.4.5.6 Extreme Gradient Boost ( XGBoost ) 4.5 Evaluation Metrics.

Human-computer interaction based health diagnostics using ResNet34 for tongue image classification.

Human Tongue Thermography could be a Prognostic Tool for Prescreening the Type II Diabetes Mellitus . Diagnosis of Diabetes from Tongue Image using Versatile Tooth-Marked Region Classification ..

Decision Tree Optimization in C4.5 Algorithm Using Genetic Algorithm. A self explanatory review of decision tree classifiers. In Proceedings of the International Conference on Recent Advances and Innovations in Engineering (ICRAIE-2014), Jaipur , India , in May 2014 .

VR Score

91

Informative language

98

Neutral language

65

Article tone

formal

Language

English

Language complexity

51

Offensive language

not offensive

Hate speech

not hateful

Attention-grabbing headline

not detected

Known propaganda techniques

not detected

Time-value

long-living

External references

no external sources

Source diversity

no sources

Affiliate links

no affiliate links