Data science can be utilized in healthcare to assist in achieving population health management, financial success of medical institutions, and improved outcomes in value-based care. As healthcare institutions strive to develop their analytics capabilities, they transition from simply having descriptive analytics and enter the realm of predictive analytics. Although predictive analytics is only step two… Continue reading The Value of Predictive Analytics to Healthcare
Data is a part of everything that we do. It propels the modern internet forward when you’re searching Google, purchasing something, or connecting with others on social media. Without data, our applications wouldn’t run the way they do. There is a perpetual, always-growing thirst for more data, which in turn means now moreover it’s available… Continue reading How Using Azure Data Services Enhances Your Business
The report, Ethics and governance of artificial intelligence for health, is the first global report to be produced on the topic of AI in healthcare. The report highlighted that there are opportunities to benefit from AI, but the report also indicated that there are risks of misuse and harm (as there are with any tech).… Continue reading WHO report: health care has AI use cases and six keys to tackling potential health disparities from AI
Introduction Data Set This diabetes data set comes from UCI Machine Learning Repository and can be obtained here. Currently, 1 out of 7 American adults has diabetes, per data from the Centers for Disease Control and Prevention. By 2050, the rate is expected to skyrocket to 1 out of 3. With this info in mind,… Continue reading Applications to Healthcare: Machine Learning for Diabetes
The goal of this post is to investigate potential features for predicting patient no-shows. The following are the details of the No-Show Prediction Challenge and the Clinic Booking log Optimization Solution: Business Pain Definition: No-Show Patients are defined as “patients who did not keep nor cancelled scheduled appointments”. According to academic research, No-Show Patients rates… Continue reading Predicting Patient No-Shows at a Hospital
In this post, we’ll have discuss some of the top machine learning techniques currently in use in healthcare to eliminate various problems: Support Vector Machines Support Vector Machines are the most common AI technique used in the healthcare industry. This method involves a supervised learning model for classification, regression, and detection. In recent years, the… Continue reading Six Best Machine Learning Algorithms For Healthcare
Healthcare analytics is the process of analyzing current and historical industry data to predict trends, improve outreach, and even better manage the spread of diseases. The field covers a broad range of businesses and offers insights on both the macro and micro level. It can reveal paths to improvement in patient care quality, clinical data,… Continue reading Healthcare Analytics Defined
Technologies for big data analytics have shown their promise in improving multiple areas of care, from medical imaging and chronic disease management to population health and precision medicine. Algorithms in healthcare and medicine could improve efficiency in delivery of care, eliminate administrative burdens, and speed up disease diagnosis. Despite all the potential good these technologies… Continue reading Four New Strategies to Yield Advances in Healthcare Analytics
Keep reading to find out more about the role of a health informatics specialist, the skills employers want in a health informatics specialist, and how you can join the field. What is a health informatics specialist? A health informatics specialist is a someone who deals with healthcare data. This data can involve patient records as… Continue reading What is a Health Informatics Specialist?
There is an abundance of big data in healthcare. Hospitals systems have massive amounts of patient encounters to serve as a source of big data. Those who have expertise in IT (information technology) and analytics are in demand to deal with these massive amount of data. They can leverage their skills in IT and analytics… Continue reading How do you become a data scientist in healthcare?