Advanced Medical Weight Loss Center's Online Review Report Card
Advanced Medical Weight Loss Center
4.9
Average Star Rating
6
Total Reviews
1
Recent Reviews
2
Review Sites Found
Accepts Medicare
No
Source: data.cms.gov Check DocInfo.Org for any disciplinary action against this provider.
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Sentiment Analysis
Advanced Medical Weight Loss Center does not have an adequate amount of comments to generate the sentiment analysis.
Online Reviews Breakdown
List of Advanced Medical Weight Loss Center's Reviews
I love this office & the girls are so amazing. Always look so forward to seeing them and they’re so helpful & kind. Great energy & great place! Also affordable & fast, along with so much to offer!
I don't believe in luck, I believe in trust and understanding, I've been with MRS Taisha Carson for some years and I've made good amount of money with her simple strategies of trading. Meeting with her has been the best experience that has happened to me in this past few years and I'm expecting yet another payment from the broker today. Scammers are everywhere but to find a reliable trader like MRS Taisha Carson, Hash is not an easy task and my advice for you all is to come over and join her contact her directly on her Email: taishacarson025@gmail.com WhatsApp: +1(929) 238-1847 Facebook: Taisha Carson
This program and these people have helped me achieve goals I NEVER imagined attainable!!! They are the absolute best!!!!
I cannot say enough good things about the staff here. Always friendly and they go out of their way to be helpful. I was a little shocked on the price, but it allowed me to reach my weighloss goal and hopefully I gained the knowledge to keep it off. All in all, well worth it!!
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Locations
No related location
Selection Criteria
All the information you see here is based on our analysis of internet reviews across the seven major review platforms most used by consumers during their healthcare provider selection. The platforms we selected are Google, WebMD, Yelp, HealthGrades, Facebook, RateMDs, and Vitals. The analysis algorithm uses the compiled data of average score, recency of reviews, number of reviews, and the sentiment expressed in the written comments. It then assigns weight to each parameter based on the available research on how consumers use reviews in their doctor selection process. This report is designed to help identify the doctors with the best overall review score in an area and does not reflect the doctors' competence.
Disclaimer
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