Probabilistic classification of acute myocardial infarction from multiple cardiac markers

Logistic regression and Gaussian mixture model (GMM) classifiers have been trained to estimate the probability of acute myocardial infarction (AMI) in patients based upon the concentrations of a panel of cardiac markers. The panel consists of two new markers, fatty acid binding protein (FABP) and glycogen phosphorylase BB (GPBB), in addition to the traditional cardiac troponin I (cTnI), creatine kinase MB (CKMB) and myoglobin. The effect of using principal component analysis (PCA) and Fisher discriminant analysis (FDA) to preprocess the marker concentrations was also investigated. The need for classifiers to give an accurate estimate of the probability of AMI is argued and three categories of performance measure are described, namely discriminatory ability, sharpness, and reliability. Numerical performance measures for each category are given and applied. The optimum classifier, based solely upon the samples take on admission, was the logistic regression classifier using FDA preprocessing. This gave an accuracy of 0.85 (95% confidence interval: 0.78–0.91) and a normalised Brier score of 0.89. When samples at both admission and a further time, 1–6 h later, were included, the performance increased significantly, showing that logistic regression classifiers can indeed use the information from the five cardiac markers to accurately and reliably estimate the probability AMI

Remote, Inc.: how to thrive at work . . . wherever you are

It’s not enough to stay sane while you’re working from home: You deserve to thrive and excel. But that’s hard to do when you, your boss or your team are still trying to replicate the way you work at the office, enduring an endless series of video calls while pretending that yes, everyone is wearing pants. Remote, Inc. shows you a new approach, based on the mindset and habits of people who flourish while working outside the office some or all of the time. These are the folks who manage to get even more done at home, even though you know they’ve got kids or dogs underfoot and somehow fit in a daily run at lunchtime. Their secret? They think like a “business of one.” That’s how productivity experts Robert C. Pozen and Alexandra Samuel describe the mindset that lets people thrive when they’re working remotely, whether working from home full-time or spending a few days each week in the office. You can follow their lead by embracing the work habits and independence of an entrepreneur – while also tapping into the benefits of collegiality and online collaboration. Remote, Inc. maps out the principles that drive this entrepreneurial approach, and translates them into the specific habits and tools that make remote work productive and enjoyable. It shows you how to: Focus on goals and results instead of the 9-to-5 schedule Wow your managers by treating them like valued clients Beat information overload with a system that prioritizes the most important emails and messages Make online meetings purposeful, focused and engaging Learn to love your colleagues again by building great relationships through online collaboration Plan for success in a world in which many professionals will work remotely Just as important as making you a professional powerhouse, Remote Inc. will help you find a balance between work from home, and life at home