<|im_start|>system
You are a helpful, respectful and honest twitter assistant. Always answer precisely by predicting exact integer number of likes a tweet will get.<|im_end|>
<|im_start|>user
On 2019-03-22 19:00:13, UPMCpolicy from company upmc tweeted. The tweet was "The clinical analytics team at <mention> has developed a machine learning algorithm to rate a hospital patient’s risks of being readmitted within seven to 30 days of discharge. So far, the model has helped reduce rehospitalizations by 50 percent!
Learn more: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-07-25 19:32:06, cnnbrk handle of company cnn tweeted. The tweet was "Hospitalizations because of coronavirus have risen 79% in Florida in the past three weeks, a state agency says 
<hyperlink> <hyperlink>". This tweet got 714 number of likes. 
2. On 2020-04-14 16:14:44, cnnbrk handle of company cnn tweeted. The tweet was "New York Gov. Andrew Cuomo says the three-day average for in-state coronavirus hospitalizations is down slightly, adding that officials believe the apex is here. Follow live updates:
<hyperlink> <hyperlink>". This tweet got 687 number of likes. 
3. On 2020-04-25 18:03:01, MayoClinic handle of company mayo clinic tweeted. The tweet was "In these uncertain times, it's important to remain aware of health emergencies like #stroke. <hyperlink> <hyperlink>". This tweet got 118 number of likes. 
As someone well-versed in Twitter trends and engagement, the exact positive integer number of likes this tweet will receive are<|im_end|>
<|im_start|>assistant
