Digital Commons Network^™

Using Graph Visualization To Look At The Trajectories Of Events That Lead To Readmission, Abbas Shojaee, Isuru Ranasinghe, Sudhakar Nuti, Shu-Xia Li, Harlan Krumholz

Yale Day of Data

Information on specific sequence of healthcare utilization events in heart failure patients may be useful for identifying distinct subpopulations of patients with HF. Knowledge of patient trajectories may help to improve prediction of future readmission which can be used to tailor management to the individual needs of the patient.

This research introduces a new approach to mining administrative and clinical datasets by incorporating graph networks to identify & visualize the trajectories of sequences of events.

Using Graphs To Characterize Nationwide Physician Referral Networks, Ding Tong, Shu-Xia Li, Isuru Ranasinghe, Sudhakar Nuti, Hongyu Zhao, Harlan Krumholz

Yale Day of Data

AIM:

Evaluating physician referral network characteristics can help to understand how physicians and hospitals interact to provide patient services within the US healthcare system and ultimately how this may influence patient outcomes.

METHOD:

We used the 2012-2013 national Physician Referral data from the Centers for Medicare & Medicaid Services (CMS), which consists of 73,071,804 pairs of referrals from one health provider to another in calendar year 2012 and the first two quarters of year 2013 within 30 days of care. These referrals are from 642,144 national-wide physicians and 4,811 hospitals. We obtained information for each provider, physician or hospital, from …

International Occupational Health Research On An "Invisible" Workforce, Martin D. Slade, Rafael Lefkowitz

Yale Day of Data

There are many professions in which employees are located in remote locations. International maritime workers make up one such occupation. They are a vulnerable, underserved and neglected population of approximately 1.2 million people with high rates of disease and injury. During their typical nine month deployments, they live in relative isolation with no health care professional on board. To understand the root causes of disease and injury among this remote workforce, strategies to collect information, analyze data, and report results and recommendations have been developed. These strategies, which include gathering of data through an alliance of companies involved in seafaring, …

Beyond Original Intent – The Use Of A Corporation’S Administrative Databases For Academic Research, Martin D. Slade, Linda Cantley, Baylah Tessier-Sherman, Deron Galusha, Michael Mctague

Yale Day of Data

Large corporations maintain a variety of administrative databases as part of their normal operations. These databases, created for distinct functions by separate organizational entities, are generally independent. For instance, a company’s Human Resources organization typically maintains a database containing information such as demographics, job and salary history, and employee status for all employees.. The environmental, health and safety department maintains information regarding work-place exposures and exposure levels for various agents within each job as well as injury and illness surveillance records. The medical department maintains occupational health information including audiometric and pulmonary function test results. As many large corporations are …

Applying Novel Tree-Based Frameworks To Big Data For Classification Of Heart Failure Patients And Prediction Of Clinical Responses, Yan Zhang, Nicholas Downing, Emily Bucholz, Suganthi Balasubramanian, Shu-Xia Li, Tara Liptak, Harlan Krumholz, Mark Gerstein

Yale Day of Data

Over 5 million Americans suffer from heart failure, a condition with a 5-year survival that eclipses all cancers apart from that of lung cancer. Conventional understanding of heart failure is simplistic: it is viewed as a single syndrome, despite real heterogeneity. In addition, models predicting outcomes focus on dichotomous results, like 30-day readmission. A novel approach to classification of heart failure may improve our ability to target interventions, improve patient experiences, and predict outcomes.

The Healthcare Cost and Utilization Project is a family of administrative claims databases that describes patient demographics, comorbidities, procedures, acute care utilization and outcomes, such as …

Managing The Data: The Tell Ziyadeh Archaeological Project, Yukiko Tonoike, Dawn Brown, Frank Hole

Yale Day of Data

Archaeological research depends on several types of data; material, contextual and analytical. Material data refers to the actual artifacts, features, and sites themselves. Contextual data are location, local geography, chronology, cross-correlations among data sets, historical and ethnographic. Analyses may be geochemical (petrographic, isotopic, pXRF), stylistic, or comparative archaeological. For an effective understanding of archaeological sites, a research project must be based on a research design suited for effective data recovery, analysis, interpretation and synthesis. With the development of digital technology, the amount of data that can be incorporated into each archaeological project has grown exponentially, and making these data accessible …

The Yoda Project: Developing Methods For Sharing Clinical Trial Data, Jessica Ritchie, Harlan Krumholz, Joseph Ross, Cary Gross, Beth Hodshon

Yale Day of Data

Abstract

Data sharing and data transparency are becoming the new standard in clinical research to ensure that patients and clinicians possess all necessary information about a drug or device when making treatment decisions. The Yale University Open Data Access (YODA) Project developed a model to facilitate access to participant-level clinical research data to promote independent analysis by external investigators. The YODA Project is currently collaborating with Medtronic, Inc. and Janssen, the pharmaceutical companies of Johnson & Johnson, to facilitate access to their clinical trial program data by external investigators in a manner that is aligned with the following principles: advance …

Shelfscan: Streamlining Library Shelving, Expanding Quality Control, Lauren F. Brown, Jason Zentz, Osman Din

Yale Day of Data

ShelfScan, a web-based application developed in house at Sterling Memorial Library, has streamlined the shelving process at SML and Bass and expanded quality control at multiple libraries by verifying materials scanned with a Bluetooth scanner against the library database.

Prior to ShelfScan, when a book was shelved in the library stacks, it was first opened in order to insert a paper “recently shelved” flag; later it was revisited and reopened to check call number order. This manual accuracy checking did not reveal other anomalies such as incorrect collection, incorrect availability status, or catalog discrepancies. With ShelfScan, books are shelved in …

Digitally Mapping The Growth Of The Railroads In The United States, Michael Weaver

Yale Day of Data

As part of my dissertation, I creating digital maps of the extent of the railways in the United States during the late 19th century (1880 to 1910) on a yearly basis. While other researchers have created digital maps of the railways in approximately 10-year intervals, this misses out on the rapid change in the railways in the interim. These previous digitization attempts have relied on using detailed maps created of the railways at a given time. But accurate maps were not made on a yearly basis and only exist for roughly every 10 years. However, during the 19th century, people …

Partitioning Bipartite Graphs: A Modified Louvain, Emily Diana

Yale Day of Data

Abstract

How do we find communities in a graph? How does this change if the graph is bipartite? The Louvain method maximizes links within communities and minimizes those between in order to determine an optimal grouping. Yet, because it may fail when bipartite restrictions are introduced, we have adjusted the null model so as to improve performance in these conditions.

Conclusion

Our Bipartite Louvain is more robust with respect to permutations of vertices than the standard Louvain. For our synthetic examples, Bipartite Louvain typically yields a higher modularity and uncovers the ground truth communities with a higher probability. In the …

Early Life Environment, Fertility And Age Of Menarche: A Test Of Life History Predictions Using A Longitudinal Assessment Of Adversity Perception And Economic Status, Dorsa Amir, Matthew R. Jordan, Richard G. Bribiescas

Yale Day of Data

Perceptions of early life environmental adversity can affect the timing of life history transitions and investment in reproductive effort. These effects are well documented in non-human organisms, but have been challenging to test in humans. Here we present evidence of the effects of variables associated with extrinsic mortality and morbidity on reproductive effort in a contemporary American population. Using a longitudinal database that sampled participants (N ≥ 1,579) at four points during adolescence and early adulthood, variables reflective of perceptions of adversity and risk were significantly associated with age of menarche and early adult fertility. While other factors related to …

Breadth Of Emotion Vocabulary In Middle Schoolers, Marina Ebert, Zorana Ivcevic, Sherri S. Widen, Lance Linke, Marc Brackett

Yale Day of Data

How many different emotion words can middle schoolers think of to describe major categories of emotional experiences? While most existing ability tests of emotion understanding and vocabulary are based on word recognition, the goal of this study was to assess prompted emotion word generation. Students in 5^th-8^th grades (N=236) were asked to list all feeling words they can think of to describe five major emotion groups (happiness, calm, sadness, anger and nervousness). They also completed an ability measure of emotion understanding, the Mayer, Salovey, Caruso Emotional Intelligence Test – Youth Version (MSCEIT-YV). When asked to generate emotion …

A Study Of The N-D-K Scalability Problem In Large-Scale Image Classification, Carlos E. Del-Castillo-Negrete, Sreenivas R. Sukumar

Yale Day of Data

Image classification is a extensively studied problem that lies at the heart of computer vision. However, the challenge remains to develop a system that can identify and classify thousands of objects like the human visual system. The accumulation of massive image data sets has permitted the study of this problem at a big-data scale. However current algorithms have been shown to fall short of being practical and accurate at scale. To further understand how these algorithms scale, we developed a library of functions to explore the scalability of the support vector machine (SVM) linear classification algorithm when applied to problems …

Stratified Meta-Analysis To Examine Data Biases In Lung Cancer Studies Of Refinery Workers, Sherman Selix

Yale Day of Data

Petroleum refineries employ a variety of workers who historically experienced different potentials for asbestos exposure depending on job tasks. Associations between petroleum refinery work and lung cancer related to occupational asbestos exposure have been quantified among various locations, corporations, and time periods. To combine the data from several individual refinery studies and examine an overall effect, a systematic review and stratified meta-analysis was employed. Using set search terms among four databases, 112 potential publications were identified, of which 29 qualified for meta-analysis. Risk estimates and confidence intervals were extracted from these publications to construct four separate datasets. Inverse variance weighting …

Exurban Residents’ Perceptions Of Naturally Returning Predators: Connecticut Case Study, Margaret E. Sackrider, Susan G. Clark, Isaac M. Ortega

Yale Day of Data

As a result of reforestation, growth of exurban areas and wildlife adaptation, it is believed that the public is currently encountering more human-wildlife conflicts than ever before. The key to balancing wildlife conservation and human development is understanding the dynamic relationship between humans and carnivores. Specifically, gaining insight into the complexity of this relationship will aide in the creation of more effective conservation policy and outreach.

Reforestation throughout Connecticut has supported a tremendous population growth of pray species and subsequently the growth of predator populations including coyotes, Canis latrans, and black bears, Ursus americanus. According to some biologists, …

Rotating Optical Microcavities With Broken Chiral Symmetry, Raktim Sarma, Li Ge, Jan Wiersig, Hui Cao

Yale Day of Data

We develop a finite difference time domain simulation algorithm to simulate photonic structures in a rotating frame. Using, the algorithm, We numerically compute and demonstrate in open microcavities with broken chiral symmetry, quasi-degenerate pairs of co-propagating modes in a non-rotating cavity evolve to counter-propagating modes with rotation. The emission patterns change dramatically by rotation, due to distinct output directions of CW and CCW waves. By tuning the degree of spatial chirality, we maximize the sensitivity of microcavity emission to rotation. The rotation-induced change of emission is orders of magnitude larger than the Sagnac effect, pointing to a promising direction for …