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stat.AP2024
Constructing Interpretable Prediction Models with 1D DNNs: An Example in Irregular ECG Classification
Giacomo Lancia, Cristian Spitoni
This manuscript proposes a novel methodology for developing an interpretable prediction model for irregular Electrocardiogram (ECG) classification, using features extracted by a 1-…
stat.AP2023
Learning models for classifying Raman spectra of genomic DNA from tumor subtypes
Giacomo Lancia, Claudio Durastanti, Cristian Spitoni +7
An early detection of different tumor subtypes is crucial for an effective guidance to personalized therapy. While much efforts focus on decoding the sequence of DNA basis to detec…
stat.AP2023
Two-step interpretable modeling of Intensive Care Acquired Infections
Giacomo Lancia, Meri Varkila, Olaf Cremer +1
We present a novel methodology for integrating high resolution longitudinal data with the dynamic prediction capabilities of survival models. The aim is two-fold: to improve the pr…