TY - GEN
T1 - Advanced healthcare system using artificial intelligence
AU - Sanjeev, Santosh
AU - Ponnekanti, Gowtham Sai
AU - Pradeep Reddy, G.
N1 - Publisher Copyright:
© 2021 IEEE
PY - 2021/1/28
Y1 - 2021/1/28
N2 - Matters like prescription and maintenance of health records hugely impact the efficiency of health care. Advanced technologies could be used to change the current scenario. This paper proposes a resourceful, web interface which enables access of medical records to the patients and a neural network model which predicts medication for ailments. The web interface acts as a medium between doctor and patient, allowing them to access the required information. The proposed method uses custom trained speech to text model and applies Natural Language Processing (NLP) on the acquired text, to provide the patient with a prescription. The proposed method further develops a neural network model which predicts the medication to be used by the patient, based on the symptoms. The proposed system achieved a Word Error Rate (WER) of 21.5% for the custom trained Speech to Text (STT) model. The AI bot used for medication prediction has achieved an accuracy of 88%.
AB - Matters like prescription and maintenance of health records hugely impact the efficiency of health care. Advanced technologies could be used to change the current scenario. This paper proposes a resourceful, web interface which enables access of medical records to the patients and a neural network model which predicts medication for ailments. The web interface acts as a medium between doctor and patient, allowing them to access the required information. The proposed method uses custom trained speech to text model and applies Natural Language Processing (NLP) on the acquired text, to provide the patient with a prescription. The proposed method further develops a neural network model which predicts the medication to be used by the patient, based on the symptoms. The proposed system achieved a Word Error Rate (WER) of 21.5% for the custom trained Speech to Text (STT) model. The AI bot used for medication prediction has achieved an accuracy of 88%.
UR - https://www.scopus.com/pages/publications/85103824471
UR - https://www.scopus.com/pages/publications/85103824471#tab=citedBy
U2 - 10.1109/Confluence51648.2021.9377084
DO - 10.1109/Confluence51648.2021.9377084
M3 - Conference contribution
AN - SCOPUS:85103824471
T3 - Proceedings of the Confluence 2021: 11th International Conference on Cloud Computing, Data Science and Engineering
SP - 76
EP - 81
BT - Proceedings of the Confluence 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th International Conference on Cloud Computing, Data Science and Engineering, Confluence 2021
Y2 - 28 January 2021 through 29 January 2021
ER -