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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? The length of stay (LOS) in a hospital , or the number of days from a patient’s admission to release, serves as a strong indicator of both medical and financial efficiency. In the US, the duration of hospitalization changed from an average of 20.5 Source: OECD Data.

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Computer Vision: Algorithms and Applications to Explore in 2025

ProjectPro

With the advancement in artificial intelligence and machine learning and the improvement in deep learning and neural networks, Computer vision algorithms can process massive volumes of visual data. With no future adieu, let's look at some of the most commonly used computer vision algorithms and applications.

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Time Complexity: Significance, Types, Algorithms

Knowledge Hut

” In this article, we are going to discuss time complexity of algorithms and how they are significant to us. The Time complexity of an algorithm is the actual time needed to execute the particular codes. The " Big O notation" evaluates an algorithm's time complexity. Then, check out these Programming courses.

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Optimizing Hospital Operations with Machine Learning in Healthcare: A Data-Driven Approach

Striim

Real-time data and machine learning are revolutionizing how hospitals operate and deliver care. By adopting a data-driven approach to hospital optimization, healthcare professionals’ jobs become more efficient, allowing them to focus more on what truly matters: Patient health. Here’s how it works.

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10 Unique Business Intelligence Projects with Source Code 2025

ProjectPro

Along with that, deep learning algorithms and image processing methods are also used over medical reports to support a patient’s treatment better. Additionally, use different machine learning algorithms like linear regression, decision trees, random forests, etc. to estimate the costs.

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Top 15 Marketing Analytics Project Ideas for Practice in 2025

ProjectPro

Patient Outreach Optimization Hospitals and pharmacies leverage predictive algorithms to examine patient data and develop dynamic customer personas with individual preferences and habits. You can analyze the dataset and apply predictive algorithms such as the K-Nearest Neighbor algorithm.

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Real-Time AI for Crisis Management: Responding Faster with Smarter Systems

Striim

Hospitals must juggle incoming patient information, logistics teams track thousands of shipments, and emergency responders monitor multiple channels in parallel. These include: Healthcare Hospitals leverage real-time data to consolidate streaming vital signs, EHR updates, and lab results for in-the-moment patient monitoring.AI

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