On-device research index

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.

168,694 papers · 148 categories

Trend · papers per month

count % of corpus

3 results for “FHIR”

Cardea: An Open Automated Machine Learning Framework for Electronic Health Recordscs.LG

Cardea automates machine learning for EHRs, improving model building efficiency.

problem Lack of a trusted, open-source framework for automated machine learning in EHRs.

method Uses FHIR for data structure, AUTOML frameworks for feature engineering, model selection, and tuning, and an adaptive data assembler.

result Demonstrates framework's effectiveness on 5 prediction tasks, highlighting its flexibility and human competitiveness.

machine learning automated electronic health records FHIR AUTOML

2020-10-01abs ↗pdf ↗

Leveraging LLMs for Unstructured Claims Data Analysisq-fin.MF

LLMs help automate extraction of actuarial variables from unstructured claims data.

problem Manual processing of unstructured claims data is time-consuming and inconsistent.

method Two-stage processing architecture using LLMs, modular Python pipeline.

result LLM-based extraction achieved high accuracy and practical actuarial value.

LLMs unstructured data actuarial variables insurance reserving

2026-06-04abs ↗pdf ↗

Public Health Informatics: Proposing Causal Sequence of Death Using Neural Machine Translationcs.LG

AI generates a sequence of death causes from hospital records.

problem Accurate death reporting for vital statistics and policy formulation.

method Neural machine translation models to generate causal chains, incorporating medical domain knowledge.

result Achieved 16.04 BLEU score for generating accurate causal chains.

AI death reporting neural machine translation ICD-10 medical domain knowledge

2020-09-22abs ↗pdf ↗