Hortonworks 是领导者。阅读 Forrester Wave。下载报告
Arizona State University (ASU) is the largest university in the U.S. and was named by U.S. News & World Report as the “Most Innovative School in America” in 2016. ASU’s Complex Adaptive Systems Initiative (or CASI) built a genomic data lake with petabytes of genetic data on hundreds of individualswith HDP healthcare predictive analytics powering research on how each individual variant in the genome can influence the expression of a cancer gene, thereby unlocking insight into potentially life-saving treatments.
如果我们了解到特定药物“在治疗癌症上的生效率达到 40%”，也就可以由此解读出该药物对特定基因档案的患者百分百有效。但是，基因组数据是大数据：一个人的基因组数据包括大约 20,000 个基因。如果存储在传统数据平台中，这等于几百 GB。如果将每个基因组与一百万的变异 DNA 位置组合，那么每个人将产生约合 200 亿行数据。
Researchers at major universities and teaching hospitals are performing big data analytics in genomics with Hortonworks Data Platform as the cost-effective, reliable platform for storing genomic data and combining that with other data on demographics, trial outcomes, and real-time patient responses. They are adopting Hortonworks DataFlow to stream that data into HDP for real-time decisions and long-term cohort analyses. Connected Data Platforms help those doctors learn which drugs and treatments work best for groups of patients across the genetic spectrum.
New wireless sensors can capture and transmit patient vitals far more frequently than human beings can visit the bedside, and these measurements can stream into a Hadoop cluster. Caregivers can use these signals for real-time alerts to respond more promptly to unexpected changes. HDP uses this data accumulated over time for healthcare predictive analytics, feeding algorithms that proactively help predict the likelihood of an emergency even before it could be detected with a bedside visit.
Congestive heart failure causes fluid retention, which leads to weight gain. In one innovative program at UC Irvine Health, patients could return home with a wireless scale and weigh themselves at regular intervals. Algorithms running in Hortonworks’ healthcare predictive analytics determined unsafe weight gain thresholds and alerted a physician to see the patient proactively, before an emergency re-admittance was necessary.
100 个儿童中就有一个会受到自闭症谱系障碍影响，每年造成的预计成本达到 1000 亿美元以上。通过第十八个月时的行为可检测到该状况，但是 4 个病例中就有 1 例在 8 岁时仍未得到确诊。为数不多的医疗测试设施早已人满为患，排起了长龙。最为普通的诊断测试通常需要 2.5 小时来进行管理和计分。
Dennis Wall 医生是哈佛医学院 Computational Biology Initiative 的主管。在 本演示 中，他描述了自己的团队开发的流程，用于以低成本的移动方式筛选孤独症患者。该流程所用时间不到五分钟，并且需要存储来自简短室内测试的大量准结构化数据的能力，这些测试由父母来管理并提交结果。Wall 的实验室还使用了 Facebook 来获取用户报告的有关孤独症的信息。
依靠这些大型数据集的人工智能有助于最大化了诊断效率，并且不会影响准确度。该方法结合 Hadoop 集群上的数据存储，可用于其他创新性机器学习诊断流程。
Medical and scientific researchers at universities live by the “publish or perish” code. Data supporting a given paper used to be appended in an Excel spreadsheet, but many of today’s data sets are just too large. Nevertheless, supporting data sets must be perpetually available in association with its paper. If the data disappears, the paper becomes unsubstantiated.
Universities can use a cluster running Hortonworks Data Platform as a cost-effective, perpetual storage platform for its scientists’ data. Big data in medicine’s easy and open querying capabilities allow scientific colleagues to share data, validate it and reuse it for more downstream research.
各医院已开始使用射频标识 (RFID) 来跟踪在其设施中流通的设备和药物。对于物品或设备的 RFID 扫描可获取其所含物、制造日期、订单号和装运数据。一家创新医院小组可以确定医生站在水槽前洗手的时间长度（降低疾病传播的可能性）。
In the short run, this data can help utilize medicines before their dates of expiration or quickly locate an important piece of equipment. Over time, historical data on how medicines, equipment and doctors interact provides valuable information for healthcare predictive analytics and helps in planning purchases, training staff and improving operational efficiency.
Geisinger Health System is one of the largest health service organizations in the United States, serving more than 3 million residents throughout Pennsylvania and southern New Jersey. Geisinger is one of America’s leading rural healthcare providers, with an integrated, physician-led system that includes 30,000 employees, nearly 1,600 employed physicians, 12 hospital campuses, and two research centers.…
The United Network for Organ Sharing (UNOS) is the private, non-profit organization managing the United States organ transplant system. UNOS brings together hundreds of hospitals, transplant centers, organ procurement professionals, and thousands of volunteers. The mission of UNOS is to advance organ availability and transplantation by uniting and supporting communities for the benefit of patients…
Health Care Service Corporation (HCSC) is the largest customer-owned health insurance company in the United States, providing health insurance to 15 million people through Blue Cross Blue Shield affiliates in Illinois, Montana, New Mexico, Oklahoma, and Texas. HCSC uses Hortonworks Data Platform for a single view of its membership to understand what challenges its customers…