Real-time Decision Support System for Pharmaceutical Applications

• Published in: Research journal of pharmacy and technology 2018-11, Vol.11 (11), p.4929-4933
• Main Authors: Shanmathi, N., Jagannath, M.
• Format: Article
• Language: English
• Subjects: Decision making; Decision support systems; Electrocardiography; Sensors
• ISSN: 0974-3618; 0974-360X; 0974-306X
• DOI: 10.5958/0974-360X.2018.00897.1

[...]whenever the patient is found to be in unstable state, an alert is sent to the physician by effective CDSS to take the necessary clinical interventions. [...]on developing the logical learning model using the multi-label classification, decision support system can be enhanced using the context-awareness methods to predict the future vital signs and thereby providing appropriate pharmaceutical drugs to the ill patients. Arduino is interfaced with ECG electrodes along with its sensor module (AD8232) and the obtained analog value from the sensor module is converted into digital ECG value using the 10-bit ADC (Analog to Digital Converter) in arduino. [...]on running the python code for serial communication between Raspberry Pi and Arduino, the digital ECG values from arduino are obtained serially on the terminal of Raspberry Pi (Figure 4). [...]when the testing dataset fails to be in specified limit, computerized clinical decision support system is driven. [...]fast and real time responses have to be taken care to efficiently diagnose during emergency situations. [...]the computerized clinical decision support system was introduced to continuously monitor the patients in the real time and with the help of the learning model, datasets comprising of biosignals are trained and tested so as to predict whether the patient is stable or not.