A new Artificial Intelligence (AI) could soon benefit cancer patients who undergo chemotherapy by identifying and predicting the development of different combinations of symptoms in them. The machine could help alleviate much of the distress in the patients caused due to the occurrence and severity of the symptoms.
In the first study of its kind, published by Scientific Reports, researchers from the University of Surrey and the University of California detail how they used Network Analysis (NA) to examine the structure and relationships between 38 common symptoms reported by over 1300 cancer patients receiving chemotherapy.
Some of the most common symptoms reported by patients were nausea, difficulty concentrating, fatigue, drowsiness, dry mouth, hot flushes, numbness, and nervousness. The team then grouped these symptoms into three key networks - occurrence, severity and distress. The NA allowed the team to identify nausea as central - impacting symptoms across all three different key networks.
Payam Barnaghi, Professor of Machine Intelligence at the Centre for Vision, Speech and Signal Processing (CVSSP) at the University of Surrey, said: "This is the first use of Network Analysis as a method of examining the relationships between common symptoms suffered by a large group of cancer patients undergoing chemotherapy. The detailed and intricate analysis this method provides could become crucial in planning the treatment of future patients - helping to better manage their symptoms across their healthcare journey."
Christine Miaskowski from the University of California said: "This fresh approach will allow us to develop and test novel and more targeted interventions to decrease symptom burden in cancer patients undergoing chemotherapy."