Remove Data Collection Remove Hospitality Remove Unstructured Data
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Length of Stay in Hospital: How to Predict the Duration of Inpatient Treatment

AltexSoft

How many days will a particular person spend in a hospital? This article describes how data and machine learning help control the length of stay — for the benefit of patients and medical organizations. In the US, the duration of hospitalization changed from an average of 20.5 The average length of hospital stay across countries.

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Data Collection for Machine Learning: Steps, Methods, and Best Practices

AltexSoft

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

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Medical Datasets for Machine Learning: Aims, Types and Common Use Cases

AltexSoft

Medical data labeling. Medical or not, unstructured data — like texts, images, or audio files — require labeling or annotation to train machine learning models. This process involves adding descriptive elements — tags — to pieces of data so that a computer could understand what the image or text is about. Source: MURA.

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What is data processing analyst?

Edureka

Data processing analysts are experts in data who have a special combination of technical abilities and subject-matter expertise. They are essential to the data lifecycle because they take unstructured data and turn it into something that can be used. What does a Data Processing Analysts do ?

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Hotel Price Prediction: Hands-On Experience of ADR Forecasting

AltexSoft

Check out our video on how revenue management works in hospitality. The complexity of the hospitality market. For machine learning algorithms to predict prices accurately, people who do the data preparation must consider these factors and gather all this information to train the model. Hospitality data providers.

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An Extensive Guide To Understanding Predictive Models And Their Real-world Applications

U-Next

An evaluation of a sequence of data points over a period of time is carried out using this model. It is possible, for example, to predict how many patients will be admitted to the hospital next week, next month or the remainder of the year based on the number of stroke patients admitted to the hospital in the last four months. .

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Big Data Analytics: How It Works, Tools, and Real-Life Applications

AltexSoft

The process of identifying the sources and then getting Big Data varies from company to company. It’s worth noting though that data collection commonly happens in real-time or near real-time to ensure immediate processing. Hospitality: Marriott makes decisions based on Big Data analytics.