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As electronic healthcare systems are being fully integrated nationally, the effective visualization of large and complex healthcare data becomes increasingly desirable for timely decision making (Grossman et al., 2011). The problem, however, is very ..
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DESCRIPTION
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SUMMARY
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Source: https://oshpd-chhsagency.opendata.arcgis.com/datasets/CHHSAgency::oshpd-healthcare-facilitiesLast updated at https://data.chhs.ca.gov : 2020-08-26License: https://data.chhs..
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DESCRIPTION
Healthcare Providers Deactivated National Provider Identifier
SUMMARY
This dataset contains the NPI and deactivation date for the deactivated health care providers.The NPI is a unique identification number for covere..
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Here are the dataset of healthcare industry
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Build a custom NER to get the list of diseases and their treatment
Now, let’s consider a hypothetical example of a health tech company called ‘BeHealthy’. Suppose ‘BeHealthy’ aims to connect the medical communities with millions of patients ..
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The right dataset is essential to obtain the right insights in data science; therefore, it is important for data scientists to have a good understanding of the availability of relevant datasets as well as the content, structure, and existing analyses..
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The healthcare data quality affects every decision taken along the patient care process. The need for correct and reliable data has become very important. The healthcare data sharing has increased considerably today. Healthcare data originates at the..
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Big data analytics will revolutionize the health care sector. It provides us the power to assemble, handle, analyze, and understand massive amount of different, organized and unorganized data generated by the health care sector regularly. Consultants..
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The dataset consists of 70 000 records of patients data, 11 features + target.
Data description
There are 3 types of input features:
Objective: factual information;
Examination: results of medical examination;
Subjective: information g..
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Metropolitan area data on search interest in healthcare
