Explainable machine learning on clinical features to predict and differentiate Alzheimer's progression by sex: Toward a clinician-tailored web interface
Fabio Massimo D'Amore, Marco Moscatelli, Antonio Malvaso, Fabrizia D’Antonio, Marta Rodini, Massimiliano Panigutti, Pierandrea Mirino, Giovanni Augusto Carlesimo, Cecilia Guariglia, Daniele Caligiore
Topics & Concepts
Interface (matter)Computer scienceMedicinePsychologyWorld Wide WebArtificial intelligenceHuman–computer interactionBubbleMaximum bubble pressure methodParallel computingMachine Learning in HealthcareChronic Disease Management StrategiesMental Health and Psychiatry