id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-334170-85x5vmyi	Masoudi-Sobhanzadeh, Yosef	Synthetic repurposing of drugs against hypertension: a datamining method based on association rules and a novel discrete algorithm	2020-07-16		.txt	text/plain	6507	383	56	title: Synthetic repurposing of drugs against hypertension: a datamining method based on association rules and a novel discrete algorithm RESULTS: A novel two-step data mining method, which is based on the If-Then association rules as well as a novel discrete optimization algorithm, was introduced and applied to the synthetic repurposing of drugs for HT. CONCLUSION: Since the proposed synthetic method uses medications in small dosages, it might revive some failed drug development projects and put forward a suitable plan for treating different diseases such as COVID-19 and HT. Based on the obtained results, it can be concluded that Trader (the newly introduced algorithm) is more efficient than the other state-of-the-art algorithms and proposes some better synthetic drug lists to treat HT. To discover the hidden applications of the existing drugs, a drug repositioning method, which is based on the newly introduced discrete optimization algorithm (Trader) and If-Then association rules, was proposed.	./cache/cord-334170-85x5vmyi.txt	./txt/cord-334170-85x5vmyi.txt