arXiv subjects

Amaia Imaz Blanco

Publications and source records attributed to Amaia Imaz Blanco.

3 recordsLinked to original sources

arXiv2026

Designing Ambiguity-Aware Clerical Review: A Stratified Sampling Framework for Record Linkage and Deduplication

Clerical review of candidate record pairs remains the de facto gold standard for evaluating record linkage, but it is resource-intensive and often designed informally. We propose a design-based framework that treats clerical review as finite-population sampling over fine-grained strata defined by match weight, comparison pattern, record-level ambiguity, and demographic group. Match-probability bands are constructed from model-based score deciles. Within bands, strata combine comparison patterns with an ambiguity factor derived from matchability and conditional candidate perplexity. A band-specific margin-of-error profile encodes substantive priorities, such as tighter precision in high-score bands, while a single scaling parameter enforces the overall clerical budget. We evaluate the framework using a labelled dataset deduplicated in Splink, comprising 50,000 records and approximately 478,000 candidate pairs. We compare a baseline design reviewing about 23% of pairs with a budget-constrained design reviewing about 7%. The baseline accurately estimates global and band-specific match rates, while sampled distributions of comparison patterns, gender, and ambiguity broadly track the population. Under the budget design, global error approximately doubles, with the largest band-level errors in middle-score bands where matches, non-matches, and ambiguous cases are intermixed. Accuracy in the highest-score bands and the band-wise ambiguity profile are largely preserved, although representativeness by comparison pattern and gender declines. The framework generalises to other clerical-review objectives and can incorporate gold-standard data as prior information for design and calibration. It makes explicit the negotiable trade-offs between workload, precision, representativeness, and coverage of linkage uncertainty.

stat.ME↗

arXiv2026

A Pipeline for Generating Longitudinal Synthetic Clinical Notes Using Large Language Models

Synthetic data is increasingly used to enable the development and evaluation of AI systems in domains where access to real-world data is restricted. In healthcare, clinical documentation presents particular challenges due to its sensitivity. This work introduces a synthetic clinical notes pipeline and dataset designed to support the development of clinical AI tools while avoiding the privacy risks associated with real patient data. The dataset is generated using a modular pipeline that combines structured patient generation, semi-structured patient journey simulation, and unstructured clinical note generation using large language models. The pipeline is designed to prioritise internal consistency across longitudinal patient records, while also capturing variation in writing style, note structure, and clinical detail. Additional mechanisms, including LLM-based validation and augmentation steps, are used to improve faithfulness, realism, and diversity of the generated notes. We release a dataset of 70 synthetic patients, each associated with 20-50 clinical notes spanning a full hospital journey. The dataset is provided at multiple levels of validation, enabling users to balance realism and scalability depending on their use case. This dataset supports the development, testing, and evaluation of clinical AI systems, including summarisation tools, coding models, and decision support systems, without reliance on real patient data.

cs.AI↗

arXiv2023

Inner edges of planetesimal belts: collisionally eroded or truncated?

The radial structure of debris discs can encode important information about their dynamical and collisional history. In this paper we present a 3-phase analytical model to analyse the collisional evolution of solids in debris discs, focusing on their joint radial and temporal dependence. Consistent with previous models, we find that as the largest planetesimals reach collisional equilibrium in the inner regions, the surface density of dust and solids becomes proportional to $\sim r^{2}$ within a certain critical radius. We present simple equations to estimate the critical radius and surface density of dust as a function of the maximum planetesimal size and initial surface density in solids (and vice versa). We apply this model to ALMA observations of 7 wide debris discs. We use both parametric and non-parametric modelling to test if their inner edges are shallow and consistent with collisional evolution. We find that 4 out of 7 have inner edges consistent with collisional evolution. Three of these would require small maximum planetesimal sizes below 10 km, with HR 8799's disc potentially lacking solids larger than a few centimeters. The remaining systems have inner edges that are much sharper, which requires maximum planetesimal sizes $\gtrsim10$ km. Their sharp inner edges suggest they could have been truncated by planets, which JWST could detect. In the context of our model, we find that the 7 discs require surface densities below a Minimum Mass Solar Nebula, avoiding the so-called disc mass problem. Finally, during the modelling of HD 107146 we discover that its wide gap is split into two narrower ones, which could be due to two low-mass planets formed within the disc.

astro-ph.EP↗