no code implementations • 25 Mar 2024 • Braja Gopal Patra, Lauren A. Lepow, Praneet Kasi Reddy Jagadeesh Kumar, Veer Vekaria, Mohit Manoj Sharma, Prakash Adekkanattu, Brian Fennessy, Gavin Hynes, Isotta Landi, Jorge A. Sanchez-Ruiz, Euijung Ryu, Joanna M. Biernacka, Girish N. Nadkarni, Ardesheer Talati, Myrna Weissman, Mark Olfson, J. John Mann, Alexander W. Charney, Jyotishman Pathak
For extracting subcategories, the RBS also outperformed the LLM at both MSHS (0. 90 vs. 0. 62) and WCM (0. 82 vs. 0. 81).
no code implementations • 5 Jan 2024 • Akhil Vaid, Joshua Lampert, Juhee Lee, Ashwin Sawant, Donald Apakama, Ankit Sakhuja, Ali Soroush, Denise Lee, Isotta Landi, Nicole Bussola, Ismail Nabeel, Robbie Freeman, Patricia Kovatch, Brendan Carr, Benjamin Glicksberg, Edgar Argulian, Stamatios Lerakis, Monica Kraft, Alexander Charney, Girish Nadkarni
Background: Evidence-based medicine (EBM) is fundamental to modern clinical practice, requiring clinicians to continually update their knowledge and apply the best clinical evidence in patient care.
no code implementations • 31 Oct 2023 • Eugenia Alleva, Isotta Landi, Leslee J Shaw, Erwin Böttinger, Thomas J Fuchs, Ipek Ensari
This seems particularly important in the clinical setting, where task-relevant information is usually sparse in clinical notes.
1 code implementation • 27 Aug 2020 • Isotta Landi, Veronica Mandelli, Michael V. Lombardo
Determining the best partition for a dataset can be a challenging task because of 1) the lack of a priori information within an unsupervised learning framework; and 2) the absence of a unique clustering validation approach to evaluate clustering solutions.
1 code implementation • 14 Mar 2020 • Isotta Landi, Benjamin S. Glicksberg, Hao-Chih Lee, Sarah Cherng, Giulia Landi, Matteo Danieletto, Joel T. Dudley, Cesare Furlanello, Riccardo Miotto
With these results, we demonstrate that ConvAE can generate patient representations that lead to clinically meaningful insights.
no code implementations • 16 Oct 2017 • Giuseppe Jurman, Valerio Maggio, Diego Fioravanti, Ylenia Giarratano, Isotta Landi, Margherita Francescatto, Claudio Agostinelli, Marco Chierici, Manlio De Domenico, Cesare Furlanello
Convolutional Neural Networks (CNNs) are a popular deep learning architecture widely applied in different domains, in particular in classifying over images, for which the concept of convolution with a filter comes naturally.