The document discusses an approach to using PageRank for anomaly detection in healthcare fraud. It describes analyzing a Medicare claims dataset to build a provider similarity graph and calculate PageRank scores to identify anomalous billing patterns compared to a provider's specialty. The steps involve data cleansing, computing similarities to build the graph, and applying PageRank to surface outliers. Results of this approach on the Medicare dataset are also mentioned.
Natural Language Processing on Non-Textual Datagpano
Talk by Casey Stella, presented at the SF Data Mining Hadoop Summit Meetup, on June 8, 2015. Notebook available at https://github.com/cestella/presentations/blob/master/NLP_on_non_textual_data/src/main/ipython/clinical2vec.ipynb
Natural Language Processing on Non-Textual Datagpano
Talk by Casey Stella, presented at the SF Data Mining Hadoop Summit Meetup, on June 8, 2015. Notebook available at https://github.com/cestella/presentations/blob/master/NLP_on_non_textual_data/src/main/ipython/clinical2vec.ipynb
QualiTest offers a holistic testing approach which provides an end-to-end test at a fraction of the cost compared to current market approaches.
QualiTest understands the challenges and risks involved in ICD-10 transformation across the healthcare spectrum: providers, payers, clearinghouses, and vendors. As the world’s second-largest independent pure play QA and testing solution partner, QualiTest provides comprehensive end-to-end services for ICD-10 testing to all entities in the healthcare industry.
http://www.qualitestgroup.com
We feature experts Stanley Nachimsom of Nachimsom Associates and Michael Palatoni of Athena Health to review WEDI survey results and share small practice/physician update on ICD-10 implementation. Visit floridablue.com/icd-10, your complete ICD-10 resource.
From the Archives, 2008:Clinical and Economic Advantages Implantable Defibril...David Lee Scher, MD
This presentation from 2008 discusses the most early recognized merits of remote patient monitoring as it pertained to implantable defibrillators. It was prsented at the European Cardiac Arrhythmia Society Annual Congress. These advantages of RPM can be extended to monitoring of other conditions today.
New Ways to Improve Hospital Flow with Predictive AnalyticsHealth Catalyst
Improving hospitalwide patient flow requires an appreciation of the hospital as an interconnected, interdependent system of care. Michael Thompson explores how Cedars-Sinai Medical Center used supervised machine learning to create predictive models for length of stay, emergency department (ED) arrivals, ED admissions, aggregate discharges, and total bed census and leveraged these models to reduce patient wait times and staff overtime and improve patient outcomes and patient and clinician satisfaction.
Learn more about the following topics:
• How to engage leaders up front with the goal of operationalizing analytics.
• What types of machine learning methods best support operationalizing analytics.
• How to operationalize machine learning-driven results to improve patient flow.
2012 to 2013 Australian Hospital Digital Scanning Surveysquareearth
Results undertaken from the Australian hospital digital scanning survey undertaken in 2014, for 2012-13 data. Report undertaken by SquareEarth, a healthcare consultancy firm.
Speaker presentation from U.S. News Healthcare of Tomorrow leadership summit, Nov. 17-19, 2019 in Washington, DC. Find out more about this forum at www.usnewshot.com.
An introduction to Medical Claims Compliance, the new Web-based coding compliance checker from Access Integrity, Inc. Presented by John Kuranz of Access Integrity, Inc. at the 2012 Data Harmony Users Group meeting on February 8, 2012 at the Access Innovations, Inc. offices.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
QualiTest offers a holistic testing approach which provides an end-to-end test at a fraction of the cost compared to current market approaches.
QualiTest understands the challenges and risks involved in ICD-10 transformation across the healthcare spectrum: providers, payers, clearinghouses, and vendors. As the world’s second-largest independent pure play QA and testing solution partner, QualiTest provides comprehensive end-to-end services for ICD-10 testing to all entities in the healthcare industry.
http://www.qualitestgroup.com
We feature experts Stanley Nachimsom of Nachimsom Associates and Michael Palatoni of Athena Health to review WEDI survey results and share small practice/physician update on ICD-10 implementation. Visit floridablue.com/icd-10, your complete ICD-10 resource.
From the Archives, 2008:Clinical and Economic Advantages Implantable Defibril...David Lee Scher, MD
This presentation from 2008 discusses the most early recognized merits of remote patient monitoring as it pertained to implantable defibrillators. It was prsented at the European Cardiac Arrhythmia Society Annual Congress. These advantages of RPM can be extended to monitoring of other conditions today.
New Ways to Improve Hospital Flow with Predictive AnalyticsHealth Catalyst
Improving hospitalwide patient flow requires an appreciation of the hospital as an interconnected, interdependent system of care. Michael Thompson explores how Cedars-Sinai Medical Center used supervised machine learning to create predictive models for length of stay, emergency department (ED) arrivals, ED admissions, aggregate discharges, and total bed census and leveraged these models to reduce patient wait times and staff overtime and improve patient outcomes and patient and clinician satisfaction.
Learn more about the following topics:
• How to engage leaders up front with the goal of operationalizing analytics.
• What types of machine learning methods best support operationalizing analytics.
• How to operationalize machine learning-driven results to improve patient flow.
2012 to 2013 Australian Hospital Digital Scanning Surveysquareearth
Results undertaken from the Australian hospital digital scanning survey undertaken in 2014, for 2012-13 data. Report undertaken by SquareEarth, a healthcare consultancy firm.
Speaker presentation from U.S. News Healthcare of Tomorrow leadership summit, Nov. 17-19, 2019 in Washington, DC. Find out more about this forum at www.usnewshot.com.
An introduction to Medical Claims Compliance, the new Web-based coding compliance checker from Access Integrity, Inc. Presented by John Kuranz of Access Integrity, Inc. at the 2012 Data Harmony Users Group meeting on February 8, 2012 at the Access Innovations, Inc. offices.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.