Abstract:
The healthcare sector is one of the most important domains that impacts the
entire global population and is closely linked to the development of any country. There
are millions and billion pieces of healthcare information available, but making the right
information accessible when needed is very important. The advent of Question
Answering System has been applied as a promising solution and an efficient approach
for retrieving significant healthcare information easily and time saving. The deep
learning algorithms are used to train the data and bring output within a specific range
by using statistical analysis. Recurrent Neural Network (RNN) based Sequence-to sequence (Seq2Seq) model is one of the most commonly researched model to
implement artificial intelligence question answering system. This system has been
implemented using neural network where it use bidirectional RNN as encoder and
Luong Attention RNN as decoder. The system presented a healthcare question answering system to provide healthcare information based on three attention sequence
to sequence models: general, dot and concat with three sub datasets: NCI,
NIHSeniorHealth and NHLBI in MedQuAD.
