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

AltexSoft

Everyday the global healthcare system generates tons of medical data that — at least, theoretically — could be used for machine learning purposes. Regardless of industry, data is considered a valuable resource that helps companies outperform their rivals, and healthcare is not an exception. Medical data labeling.

Medical 52
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What Is Data Collection? Methods, Types, Tools, and Techniques

U-Next

The primary goal of data collection is to gather high-quality information that aims to provide responses to all of the open-ended questions. Businesses and management can obtain high-quality information by collecting data that is necessary for making educated decisions. . What is Data Collection?

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Top 10+ IoT Research Topics for 2024 [With Source Code]

Knowledge Hut

The data collected from IoT devices can be used to improve decision-making, optimize processes, and enhance customer experiences. Wearable Devices Wearable devices such as smartwatches, fitness trackers, and medical devices are becoming increasingly popular. If you want to know more about IoT, check out online IoT training.

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Top 10 Benefits of Big Data

Knowledge Hut

Big data can be summed up as a sizable data collection comprising a variety of informational sets. It is a vast and intricate data set. Big data has been a concept for some time, but it has only just begun to change the corporate sector. This knowledge is expanding quickly.

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Software Developer Salary in Singapore [2024 Market Overview]

Knowledge Hut

We have mentioned the average software developer salary in Singapore offered by the top industries - Industries Companies Healthcare Johnson & Johnson Singapore Medical Group Thomson Medical Group Raffles Medical Group Healthway Medical Corp.

Medical 98
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Leveraging Data Analytics in the Fight Against Prescription Opioid Abuse

Cloudera

The healthcare industry, in partnership with government agencies, must engage with a robust modern data management solution that can extract electronic health data in the form of controlled substance data, prescriber data, and patient data and transform it into meaningful, measurable, and actionable information.

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Pattern Recognition in Machine Learning [Basics & Examples]

Knowledge Hut

This can be done by finding regularities in the data, such as correlations or trends, or by identifying specific features in the data. Pattern recognition is used in a wide variety of applications, including Image processing, Speech recognition, Biometrics, Medical diagnosis, and Fraud detection.