Abstract:
With the constant evolvement of Machine Learning Techniques, the usage of
predictive models in clinical decision making has risen up. Though the complex
machine learning models lead to reduction of the transparency of the model, AI has
branched out to explain the AI models. These explainability techniques have enabled
complex machine learning models to be used in clinical decision making processes.
Every year around 1.1 million of infants die due to complications that occur during
preterm birth. Therefore it is vital to identify preterm labor beforehand to treat it better.
Not only does it affect the infant mortality and healthiness, it also affects maternal
mortality. “PrePredict” is system made out of the sole intention of assisting the manual
process of identification of preterm labor or preterm birth to enable the possibility of
a healthy population.
