@article{Surja_Limon_Soeb_Arifin_Islam_Kayshar_Islam_Rahman_Malek_Mohsin_Jahan_Barua_Tofaz_Sultana_Jubayer_2022, title={Artificial intelligence-enabled rapid and symptom-based medication recommendation system (COV-MED) for the COVID-19 patients}, volume={5}, url={https://jidhealth.com/index.php/jidhealth/article/view/259}, DOI={10.47108/jidhealth.Vol5.Iss4.259}, abstractNote={<p>In a general COVID-19 population in Cox’s Bazar, Bangladesh, we developed a medication recommendation system based on clinical information from the electronic medical record (EMR). Our goal was also to enable deep learning (DL) strategies to quickly assist physicians and COVID-19 patients by recommending necessary medications. The general demographic data, clinical symptoms, basic clinical tests, and drug information of 8953 patients were used to create a dataset. The learning model in this COVID-MED model was created using Keras (an open-source artificial neural network library) to solve regression problems. In this study, a sequential model was adopted. In order to improve the prediction capability and achieve global minima quickly and smoothly, the COVID-MED model incorporates an adaptive optimizer dubbed Adam. The model calculated a mean absolute error of 0.0037, a mean squared error of 0.000035, and a root mean squared error of 0.0059. The model predicts the output medications, such as injections or other oral medications, with around 99% accuracy. These findings show that medication can be predicted using information from the EMR. Similar models allow for patient-specific decision support to help prevent medication errors in diseases other than COVID-19.</p>}, number={4}, journal={Journal of Ideas in Health}, author={Surja, Amit Shaha and Limon, Md. Tariqul Islam and Soeb, Md. Janibul Alam and Arifin, Md. Shoaib and Islam, Md. Meftaul and Kayshar, Md. Shahidullah and Islam, Md. Amirul and Rahman, Md. Mizanur and Malek, Md Abdul and Mohsin, Faroque Md and Jahan, Mohammed Shah and Barua, Anupam and Tofaz, Tanjima Binte and Sultana, Irin and Jubayer, Md. Fahad}, year={2022}, month={Dec.} }