ALGORITMA C4.5 BERBASIS DECISION TREE UNTUK PREDIKSI KELAHIRAN BAYI PREMATUR

research
  • 29 Apr
  • 2019

ALGORITMA C4.5 BERBASIS DECISION TREE UNTUK PREDIKSI KELAHIRAN BAYI PREMATUR

Preterm labor can happen when pregnancy has not entered the 37th week, or three weeks or more
before the birth day forecast (HPL). Babies who are born prematurely usually weigh less than 2.5 kilograms that
causes the body's organs are not functioning properly infants can suffer from a variety of more serious health
problems than babies who were born on schedule. There are some cases of premature labor of unknown cause.
There are several factors and health problems can trigger preterm labor, for examples mothers who do not
exercise, smoking, history of pregnancy, fetal condition and psychological condition. This study intend to make
a research on how to predict a patient who will give birth prematurely with the algorithm C4.5 models. The
results obtained are C4.5 algorithm produces a value of 93.60% accuracy and AUC value of 0.946 to the level of
diagnostics Excellent Classification.

Unduhan

 

REFERENSI

Cari

Bidang Ilmu

Kategori

Kiriman Terbaru