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StatQuest: Principal Component Analysis (PCA), Step-by-Step
Principal Component Analysis, is one of the most useful data analysis and machine learning methods out there. It can be used to identify patterns in highly complex datasets and it can tell you what variables in your data are the most important. Lastly, it can tell you how accurate your new understanding of the data actually is. In this video, I ...
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Replying to @crokat1919 Anatomy of a PCA Stroke: From Heart to Vision Loss Posterior circulation anatomy is vital for accurately localizing salient strokes. Common PCS etiologies (PCA/BA/VA): • Cardioembolic: AF/LAA clot • Artery→artery: VA/BA/PCA atherosclerosis • Dissection (VA) ± neck trauma/manip • Small-vessel: thalamic/perforators • Hypoperfusion: vertebrobasilar stenosis RF: smoking HLD HTN DM. Clues: HH, diplopia, vertigo/ataxia, dysarthria, AMS/thalamic pain. @Kevin Kern, DC #neurointer
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Replying to @crokat1919 Anatomy of a PCA Stroke: From Heart to Vision Loss Posterior circulation anatomy is vital for accurately localizing salient strokes. Common PCS etiologies (PCA/BA/VA): • Cardioembolic: AF/LAA clot • Artery→artery: VA/BA/PCA atherosclerosis • Dissection (VA) ± neck trauma/manip • Small-vessel: thalamic/perforators • Hypoperfusion: vertebrobasilar stenosis RF: smoking HLD HTN DM. Clues: HH, diplopia, vertigo/ataxia, dysarthria, AMS/thalamic pain. @Kevin Kern, DC #neurointer
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