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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

Trend · papers per month

count% of corpus
0111 · Aug 201919922001200920172026
3 results for “nomogram”
rmlnomogram: An R package to construct an explainable nomogram for any machine learning algorithmscs.LG

Developed R package for creating nomograms for any ML algorithms.

problem Creating nomograms for any machine learning algorithms.
method Formulated a function to transform ML prediction models into nomograms, requiring specific datasets.
result Created 5 types of nomograms for various ML algorithms and predictor types.
nomogrammachine learningexplainabilityR packageweb application
2025-01-10abs ↗pdf ↗
The Partial Response Network: a neural network nomogramcs.LG

Among interpretable machine learning methods, the class of Generalised Additive Neural Networks (GANNs) is referred to as Self-Explaining Neural Networks (SENN) because of the linear dependence on explicit functions of the inputs. In binary classification this shows the precise weight that each input contributes toward…

2019-08-16abs ↗pdf ↗
Predicting Mortality Risk in Viral and Unspecified Pneumonia to Assist Clinicians with COVID-19 ECMO Planningstat.AP

Develops a risk score to assist ECMO planning for critically ill patients with viral or unspecified pneumonia.

problem Lack of a risk score to guide ECMO planning for critically ill patients.
method Leverages machine learning to develop the PEER score.
result PEER score predicts mortality and decompensation in patients eligible for ECMO.
COVID-19ECMOPneumoniaRisk ScoreMachine Learning
2020-06-02abs ↗pdf ↗