Factors Driving Reproductive Health Supply Costs in Developing Countries

Application Area: 

Project Details

Term: 

2009

Students: 

Jeffrey Chia-Chieh Hong, John Geraghty, Joseph Lee, Khalil Qasimi, Emma Spight

University: 

UMD

Presentation: 

Report: 

Due to lack of technical expertise and resources John Snow, Inc. (JSI) has had difficulty understanding the Reproductive Health Interchange database and creating a more cost efficient contraceptive procurement process. Our goal was to use explanatory data mining techniques to gain a better understanding of the driving input variables and suggest alternative procurement strategies.

Predicting ZILLOW.com’s Zestimate accuracy

Application Area: 

Project Details

Term: 

2009

Students: 

Sirisha Kilambi, Pramod Mane, Beena Nair, Mehul Shah, Tabrez Shaikh

University: 

UMD

Presentation: 

Report: 

Zillow.com is the real estate service launched in 2006. It calculates a Zestimate-home valuation as a starting point for anyone to see -for free- for most homes in the U.S. Zillow indicates that for MD and VA they get only about 26% of predictions within the +/-5% range only.

Quality-of-care factors in U.S. nursing homes

Application Area: 

Project Details

Term: 

2009

Students: 

Erica Eisenhart, Alon Gotesman, Audra Johnson, Ben Meadema, Shalin Saini

University: 

UMD

Presentation: 

Report: 

Thousands of Americans reside in nursing homes across the US, with facilities spanning a wide range of sizes, occupancy rates, staffing levels and expertise, available services, business models and managerial expertise. This great variability between each facility results in a highly divergent quality levels, creating a substantial challenge for families across the country: which home should they choose for their elderly relatives.

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