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Title | Data Mining for Medicine and |
Description | 5th Workshop on Data Mining for Medicine and sdm16 5 th Workshop on Data Mining for Medicine and Healthcare May 7, 2016, Miami, FL To be held in conjunction with 16 th SIAM International Conference o |
Keywords | N/A |
WebSite | dmmh.org |
Host IP | 174.129.25.170 |
Location | United States |
Site | Rank |
US$330,054
Last updated: 2023-05-14 15:25:14
dmmh.org has Semrush global rank of 32,068,495. dmmh.org has an estimated worth of US$ 330,054, based on its estimated Ads revenue. dmmh.org receives approximately 38,084 unique visitors each day. Its web server is located in United States, with IP address 174.129.25.170. According to SiteAdvisor, dmmh.org is safe to visit. |
Purchase/Sale Value | US$330,054 |
Daily Ads Revenue | US$305 |
Monthly Ads Revenue | US$9,140 |
Yearly Ads Revenue | US$109,680 |
Daily Unique Visitors | 2,539 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
dmmh.org. | A | 300 | IP: 174.129.25.170 |
dmmh.org. | NS | 300 | NS Record: ns3.freedns.si. |
dmmh.org. | NS | 300 | NS Record: ns1.freedns.si. |
dmmh.org. | NS | 300 | NS Record: ns2.freedns.si. |
sdm16 5 th Workshop on Data Mining for Medicine and Healthcare May 7, 2016, Miami, FL To be held in conjunction with 16 th SIAM International Conference on Data Mining (SDM 2016) Overview In virtually every country, the cost of healthcare is increasing more rapidly than the willingness and the ability to pay for it. At the same time, more and more data is being captured around healthcare processes in the form of Electronic Health Records (EHR), health insurance claims, medical imaging databases, disease registries, spontaneous reporting sites, and clinical trials. As a result, data mining has become critical to the healthcare world. On the one hand, EHR offers the data that gets data miners excited, however on the other hand, is accompanied with challenges such as 1) the unavailability of large sources of data to academic researchers, and 2) limited access to data-mining experts. Healthcare entities are reluctant to release their internal data to academic researchers and in most cases |
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