TY - JOUR
T1 - Classification of thalassemia data using random forest algorithm
AU - Aszhari, F. R.
AU - Rustam, Z.
AU - Subroto, F.
AU - Semendawai, A. S.
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2020/6/9
Y1 - 2020/6/9
N2 - Thalassemia is a blood disorder that occurred in Southeast Asia. Thalassemia cannot be cured, but early detected thalassemia with screening process is the best way to prevent thalassemia disease. If early detection is done, patients can get the right treatment. It helps them increase their life expectancy and reduce the risk of thalassemia to the next generation. In this paper, we use thalassemia data and propose a random forest method to classify thalassemia disease well and accurately. The result concludes that the random forest algorithm can give the best accuracy, precision and recall which is 100 percent by using multiple five in range of 70 to 85 percent as the training data.
AB - Thalassemia is a blood disorder that occurred in Southeast Asia. Thalassemia cannot be cured, but early detected thalassemia with screening process is the best way to prevent thalassemia disease. If early detection is done, patients can get the right treatment. It helps them increase their life expectancy and reduce the risk of thalassemia to the next generation. In this paper, we use thalassemia data and propose a random forest method to classify thalassemia disease well and accurately. The result concludes that the random forest algorithm can give the best accuracy, precision and recall which is 100 percent by using multiple five in range of 70 to 85 percent as the training data.
UR - http://www.scopus.com/inward/record.url?scp=85088143398&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1490/1/012050
DO - 10.1088/1742-6596/1490/1/012050
M3 - Conference article
AN - SCOPUS:85088143398
SN - 1742-6588
VL - 1490
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012050
T2 - 5th International Conference on Mathematics: Pure, Applied and Computation, ICoMPAC 2019
Y2 - 19 October 2019
ER -