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

AltexSoft

In this post, we’ll briefly discuss challenges you face when working with medical data and make an overview of publucly available healthcare datasets, along with practical tasks they help solve. At the same time, de-identification only encrypts personal details and hides them in separate datasets. Medical datasets comparison chart .

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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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Evolving with AI from Traditional Testing to Model Evaluation I by Shikha Nandal

Scott Logic

At their core, ML models learn from data. They are trained on large datasets to recognise patterns and make predictions or decisions based on new information. During the model evaluation phase (validation mode), we will use a labelled dataset of emails to calculate metrics like accuracy, precision and recall.

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

Striim

Another benefit of leveraging real-time patient monitoring is that it reduces hospital readmissions and improves overall patient management. How Inference Models Work Inference models work by applying algorithms to analyze large datasets, deriving meaningful insights that inform decision-making.

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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. In contrast to unsupervised learning, supervised learning makes use of labeled datasets.