Learner, Practitioner & Teacher
Artificial Intelligence (AI) has come a long way—from conceptual frameworks to real-world breakthroughs powering tools like ChatGPT. This post walks through the significant milestones in the journey of AI, highlighting how decades of research, setbacks, and innovation have led us
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There are several types of feature importance methods that can be used to explain how a machine learning model is making its predictions. Here are some of the most common types: Permutation Importance: This method measures the importance of each
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Partial dependence plots (PDP) are a type of model-agnostic XAI technique that allows us to visualize the relationship between an input feature and the model’s output. PDPs show how the predicted outcome changes as we vary the values of a
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SHAP (SHapley Additive explanations) is another popular method for explaining the predictions of machine learning models. In this blog post, we will explore the SHAP technique, how it works, and its application in healthcare using a use case. What
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LIME (Local Interpretable Model-agnostic Explanations) is a popular method for explaining the predictions of machine learning models, especially black-box models. In this blog post, we will explore the LIME technique, how it works, and its application in healthcare using a
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Artificial Intelligence is evolving at breakneck speed, and the latest developments are redefining how machines access knowledge, reason, and collaborate. From the static knowledge of Large Language Models (LLMs) to the dynamic, collective intelligence of Agent-to-Agent (A2A) protocols, each step
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As healthcare providers strive to provide the best possible care to their patients, understanding the effects of different treatments becomes increasingly important. This is especially true for data in longitudinal nature, where patients are followed over time and treatment effects
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As technology continues to advance, there has been much speculation about whether AI will replace doctors in the field of medicine. However, it is important to note that AI is not meant to replace doctors, but rather to assist them
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NEED In recent years, the healthcare industry has witnessed the emergence of Artificial Intelligence (AI) and Machine Learning (ML) technologies, which are revolutionizing the way healthcare providers operate. These technologies enable healthcare providers to collect and analyze large amounts of
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The healthcare industry has always recognized the importance of prevention. After all, as the famous adage goes, “Prevention is better than cure.” However, in the past, healthcare has largely been a reactive field, with physicians and clinicians treating patients after
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