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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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Occupancy Rate Prediction: Building an ML Module to Analyze One of the Main Hospitality KPIs

AltexSoft

Read on to find out what occupancy prediction is, why it’s so important for the hospitality industry, and what we learned from our experience building an occupancy rate prediction module for Key Data Dashboard — a US-based business intelligence company that provides performance data insights for small and medium-sized vacation rentals.

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Average Daily Rate: The Role of ADR in Hospitality Revenue Management and Strategies to Improve This KPI

AltexSoft

Navigating the increasingly competitive hospitality sector landscape demands a thorough grasp of the vital performance indicators that display profitability. ADR , in the hospitality industry, stands for the average daily rate. Discover how revenue management functions in hospitality in our video. What is ADR?

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3 Ways AI, ML, and Predictive Analytics Can Help Solve the Nursing Crisis

Snowflake

With a comprehensive range of data and the application of advanced analytics, organizations will be able to make better decisions about which interventions to invest in and implement. Predictive analytics can also continuously improve the accuracy of predictions based on additional data collected from ongoing experience.

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Most Common Use Cases of Data Engineering in Healthcare

phData: Data Engineering

However, data collection and analysis have been commonplace in the healthcare sector for ages. Data Engineering in day-to-day hospital administration can help with better decision-making and patient diagnosis/prognosis. Thus, using data engineering is a must in 2023 for hospitals. Joseph Hospital.

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

AltexSoft

No wonder publicly available health datasets are relatively rare and attract much attention from researchers, data scientists, and companies working on medical AI solutions. Below, we’ll explore data collections the Internet has to offer and the practical tasks they help solve. Clinic and hospital datasets. Source: MURA.

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