3 ms·

98% accuracy in predicting diseases by the colour of the tongue

10 points by arnejenssen 2y ago

beardyw 2y ago
This is for tongue diseases. Misleading title.
arnejenssen 2y ago
A computer algorithm has achieved a 98% accuracy in predicting different diseases by analysing the colour of the human tongue.
westurner 2y ago
"Tongue Disease Prediction Based on Machine Learning Algorithms" (2024) https://www.mdpi.com/2227-7080/12/7/97 https://www.mdpi.com/2227-7080/12/7/97 : > This study proposes a new imaging system to analyze and extract tongue color features at different color saturations and under different light conditions from five color space models (RGB, YcbCr, HSV, LAB, and YIQ). The proposed imaging system trained 5260 images classified with seven classes (red, yellow, green, blue, gray, white, and pink) using six machine learning algorithms, namely, the naïve Bayes (NB), support vector machine (SVM), k-nearest neighbors (KNN), decision trees (DTs), random forest (RF), and Extreme Gradient Boost (XGBoost) methods, to predict tongue color under any lighting conditions. The obtained results from the machine learning algorithms illustrated that XGBoost had the highest accuracy at 98.71%, while the NB algorithm had the lowest accuracy, with 91.43%
- westurner 2y ago
  "Development of Deep Ensembles to Screen for Autism and Symptom Severity Using Retinal Photographs" (2023) https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2812964 https://jamanetwork.com/journals/jamanetworkopen/fullarticle... ; 100% accuracy where a recently-published best method with charts is 80% accurate: "Machine Learning Prediction of Autism Spectrum Disorder from a Minimal Set of Medical and Background Information" (2024) https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2822394 https://jamanetwork.com/journals/jamanetworkopen/fullarticle... https://github.com/Tammimies-Lab/ASD_Prediction_ML_Rajagopalan https://github.com/Tammimies-Lab/ASD_Prediction_ML_Rajagopal... I don't think any of the medical imaging NN training projects have similar colorspace analysis.

10 points by arnejenssen 2y ago

This is for tongue diseases. Misleading title.

A computer algorithm has achieved a 98% accuracy in predicting different diseases by analysing the colour of the human tongue.

westurner 2y ago

"Tongue Disease Prediction Based on Machine Learning Algorithms" (2024) https://www.mdpi.com/2227-7080/12/7/97 https://www.mdpi.com/2227-7080/12/7/97 : > This study proposes a new imaging system to analyze and extract tongue color features at different color saturations and under different light conditions from five color space models (RGB, YcbCr, HSV, LAB, and YIQ). The proposed imaging system trained 5260 images classified with seven classes (red, yellow, green, blue, gray, white, and pink) using six machine learning algorithms, namely, the naïve Bayes (NB), support vector machine (SVM), k-nearest neighbors (KNN), decision trees (DTs), random forest (RF), and Extreme Gradient Boost (XGBoost) methods, to predict tongue color under any lighting conditions. The obtained results from the machine learning algorithms illustrated that XGBoost had the highest accuracy at 98.71%, while the NB algorithm had the lowest accuracy, with 91.43%

westurner 2y ago
"Development of Deep Ensembles to Screen for Autism and Symptom Severity Using Retinal Photographs" (2023) https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2812964 https://jamanetwork.com/journals/jamanetworkopen/fullarticle... ; 100% accuracy where a recently-published best method with charts is 80% accurate: "Machine Learning Prediction of Autism Spectrum Disorder from a Minimal Set of Medical and Background Information" (2024) https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2822394 https://jamanetwork.com/journals/jamanetworkopen/fullarticle... https://github.com/Tammimies-Lab/ASD_Prediction_ML_Rajagopalan https://github.com/Tammimies-Lab/ASD_Prediction_ML_Rajagopal... I don't think any of the medical imaging NN training projects have similar colorspace analysis.