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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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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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Real-Time Patient Monitoring: Leveraging Inference Models for Immediate Care

Striim

In contrast, real-time monitoring utilizes advanced technologies like wearable sensors and telemetry systems to provide immediate insights, enabling healthcare providers to respond swiftly to any abnormalities detected. For more context, check out our AI and machine learning solutions page.

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Most Common Use Cases of Data Engineering in Healthcare

phData: Data Engineering

Artificial Intelligence (AI) and Machine Learning (ML) are buzzwords these days with developments of Chat-GPT, Bard, and Bing AI, among others. 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.

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The Next-Generation AI Application: What is it and how does it work?

RandomTrees

To replicate human cognition, AI uses a system named deep neural network. Federated deep learning is also a promising technology that could improve edge AI’s privacy and security. As they get trained, these DNNs result in many examples of specific types of questions and the correct answers.

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Top 16 Data Science Specializations of 2024 + Tips to Choose

Knowledge Hut

In addition, there are professionals who want to remain current with the most recent capabilities, such as Machine Learning, Deep Learning, and Data Science, in order to further their careers or switch to an entirely other field. The implementation of distributed computing systems is often called "cloud computing."

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How Real-time Healthcare Analytics Helps Improve Patient Care

Striim

Your real-time system is designed to ingest all the relevant data points from the EHR (e.g., The hospital management uses real-time data from EHRs and machine learning algorithms for creating classifiers (a deep-learning algorithm that can categorize data into relevant categories) to identify when a patient’s health worsens due to sepsis.