A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable ...
Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
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Logistic regression power explained using one derivative
Understanding the derivative of the cost function is key to mastering logistic regression. Learn how gradient descent updates ...
According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...
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Early warning for diabetes: AI model identifies prediabetes risk with high accuracy
By Priyanjana Pramanik, MSc. By combining oxidative stress biology with advanced machine learning, researchers show how a ...
The researchers argue that their findings, published in Scientific Reports, could help clinicians anticipate which patients ...
In this project, we leverage the power of artificial intelligence in healthcare to predict lung cancer risks. By employing various machine learning techniques, we aim to assist medical professionals ...
ABSTRACT: Road traffic accidents are one of the global safety and socioeconomic challenges. According to WHO (2024), it has caused over 1.19 million annual fatalities. It is also projected to cause ...
ABSTRACT: Road traffic accidents are one of the global safety and socioeconomic challenges. According to WHO (2024), it has caused over 1.19 million annual fatalities. It is also projected to cause ...
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