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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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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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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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Top 30+ Computer Science Project Topics of 2023 [Source Code]

Knowledge Hut

From machine learning algorithms to data mining techniques, these ideas are sure to challenge and engage you. Hospital Management System Type : Application development, Database management, Programming There is no shortage of computer science project topics out there. Investigating the security risks associated with hospital data.

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Computer Vision: Algorithms and Applications to Explore in 2023

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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Apache Spark Use Cases & Applications

Knowledge Hut

It achieves this using abstraction layer called RDD (Resilient Distributed Datasets) in combination with DAG, which is built to handle failures of tasks or even node failures. Apache Spark has a framework for both i.e. Spark Streaming to handle Streaming using micro batches and DStreams and Structured Streaming using Datasets and Data frames.

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Top 12 Data Science Case Studies: Across Various Industries

Knowledge Hut

In this discussion, I will present some case studies to you that contain detailed and systematic data analysis of people, objects, or entities focusing on multiple factors present in the dataset. Examples of Data Science Case Studies Hospitality: Airbnb focuses on growth by analyzing customer voice using data science.