- Lessons learned for generative AI for tabular data By Kirindi Choi, Ljubomir Buturovic, Roland Luethy, Inflammatix, Inc. Introduction Recently, generative artificial intelligence (AI) models for text, images, and video have made major progress and achieved worldwide attention among experts and the public, including initial applications in medicine [1]. The [...]

- Decision Threshold Optimization for Diagnostic Tests using a Genetic Algorithm By Roland Luethy and Ljubomir Buturovic, Inflammatix, Inc. Introduction Typically, a clinical classifier generates a score that corresponds to likelihood of disease presence or future outcome. In order to facilitate decision-making, the score is sometimes converted to a discrete classification [...]

- Searching for the Best Tabular Data Classifiers By Nandita Damaraju, Ljubomir Buturovic, Inflammatix, Inc. Are neural networks better than other machine learning algorithms on small tabular data? Introduction Deep Neural Networks (DNN) models outperform conventional machine learning algorithms on unstructured data modalities such as images, text, and audio. However, their [...]

- Adaptive CV: An approach for faster cross validation and hyperparameter tuning By Nandita Damaraju, Inflammatix, Inc. Introduction Identification of optimal hyperparameters is an integral component for building robust accurate machine learning models. Hyperparameters control various aspects of a classification model such as learning rate, regularization, and model architecture. These hyperparameters [...]