Deep probabilistic logic programming for diagnostic reasoning from incomplete information: A case study in stroke detection

arXiv:2608.08561 · cs.AI · Submitted 2026-08-09 · Read on arXiv

Felix Weitkämper, Monchito Avila, Elizabeth Nanjala, Siska, Grace Zawadi

cs.AI

Submitted: 2026-08-09

Updated: 2026-08-11

Comments: Accepted for presentation at IJCLR 2026. This is the accepted version, _not_ the camera-ready version for the post-proceedings of the conference

Code: https://github.com/3N61N33R/stroke-detection

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 10× in this paper · explained in 1 episode
• Generative Model — 7× in this paper · explained in 2 episodes
• Modularity — 3× in this paper · explained in 9 episodes
• Conditional Independence — 2× in this paper · explained in 2 episodes
• Neuro-symbolic approach — 2× in this paper · explained in 5 episodes
• Adam — 1× in this paper · explained in 3 episodes
• Concurrence — 1× in this paper · explained in 2 episodes
• Convolutional Neural Network (CNN) — 1× in this paper · explained in 2 episodes
• False Negatives — 1× in this paper · explained in 2 episodes
• Feature Extraction — 1× in this paper · explained in 3 episodes
• Generative Models — 1× in this paper · explained in 3 episodes
• Overfitting — 1× in this paper · explained in 2 episodes
• Sufficiency — 1× in this paper · explained in 2 episodes

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