Use Case Code : ONCO_DRG
Use Case Description:
Chemotherepeutic agents act against the rapidly dividing cancer cells. As collateral damage happens, the patients develop several side effects. Such side effects may vary from nausea, vomiting to a major cardiac event. Based upon the exisitng knowledge from published scientific literature, we try to pre-empt such toxicities. This may mean not giving a particular drug, or decreasing dosage or starting other medicines emperically to counter the effects. There is merit in being able to evaluate these effects, not only rare catastrophic ones but also routine ones with higher grades. We want to evaluate if AI can predict such toxicities to various chemotherepeutic drugs.
Expected Outcomes – Deliverables:
Prediction of grade 3/4 toxicities related to commonly used drugs to treat various cancers. Input variables will include clinical and demographic data, co-morbidites, various labarotary parameters
Any other inputs:
Before proceeding we can discuss about the drugs we would like to cover.
