Intelligent System for the Detection and Prediction of Endometriosis at Maria Auxiliadora Hospital in Lima, Perú

Alexis Bautista; Jahir Tardillo; Carlos A. Alvarado

doi:10.1109/admit67050.2025.11337114

Intelligent System for the Detection and Prediction of Endometriosis at Maria Auxiliadora Hospital in Lima, Perú

Alexis Bautista, Jahir Tardillo, Carlos A. Alvarado

In: 2025 International Conference on Algorithms, Data Mining, and Information Technology (ADMIT) · 2025 · pp. 1–6 · doi:10.1109/admit67050.2025.11337114 · W7125508846

article OA: closed CC0

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⚙ AI-generated summary by claude@2026-06, 2026-06-12 ⓘ

This paper presents an intelligent system designed to detect and predict endometriosis, developed and tested at Maria Auxiliadora Hospital in Lima, Perú.

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endometriosis

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References (23)

A Joint Model of Random Forest and Artificial Neural Network for the Diagnosis of Endometriosis via openalex
Assessing the Utility of artificial intelligence in endometriosis: Promises and pitfalls via openalex
Development of prediction model to estimate future risk of ovarian lesions: A multi-center retrospective study via openalex
Diagnosis of Endometriosis Based on Comorbidities: A Machine Learning Approach via openalex
Feature based analysis of endometriosis using machine learning via openalex
FEMaLe: The use of machine learning for early diagnosis of endometriosis based on patient self-reported data-Study protocol of a multicenter trial via openalex
How to Improve Non-Invasive Diagnosis of Endometriosis with Advanced Statistical Methods via openalex
Identification and validation of M2 macrophage-related genes in endometriosis via openalex
Machine learning algorithms for a novel cuproptosis-related gene signature of diagnostic and immune infiltration in endometriosis via openalex
Machine learning-based integrated identification of predictive combined diagnostic biomarkers for endometriosis via openalex
Model for Endometriosis Detection Using Machine Learning Algorithms via openalex
Non-invasive tests for endometriosis are here; how reliable are they, and what should we do with the results? via openalex
Ultrasound image-based deep learning to differentiate tubal-ovarian abscess from ovarian endometriosis cyst via openalex
W4387306878 via openalex
W4310863801 via openalex
W4306662087 via openalex
W4286697402 via openalex
W4280555323 via openalex
W4220849519 via openalex
W4205198611 via openalex
W4402422025 via openalex
W3195411785 via openalex
W4311069821 via openalex

Source provenance

openalex: last seen: 2026-06-04T00:00:01.174412+00:00
unpaywall: last seen: 2026-06-24T06:27:47.060558+00:00

License: CC0 · commercial use OK

[1] A Joint Model of Random Forest and Artificial Neural Network for the Diagnosis of Endometriosis via openalex

[2] Assessing the Utility of artificial intelligence in endometriosis: Promises and pitfalls via openalex

[3] Development of prediction model to estimate future risk of ovarian lesions: A multi-center retrospective study via openalex

[4] Diagnosis of Endometriosis Based on Comorbidities: A Machine Learning Approach via openalex

[5] Feature based analysis of endometriosis using machine learning via openalex

[6] FEMaLe: The use of machine learning for early diagnosis of endometriosis based on patient self-reported data-Study protocol of a multicenter trial via openalex

[7] How to Improve Non-Invasive Diagnosis of Endometriosis with Advanced Statistical Methods via openalex

[8] Identification and validation of M2 macrophage-related genes in endometriosis via openalex

[9] Machine learning algorithms for a novel cuproptosis-related gene signature of diagnostic and immune infiltration in endometriosis via openalex

[10] Machine learning-based integrated identification of predictive combined diagnostic biomarkers for endometriosis via openalex

[11] Model for Endometriosis Detection Using Machine Learning Algorithms via openalex

[12] Non-invasive tests for endometriosis are here; how reliable are they, and what should we do with the results? via openalex

[13] Ultrasound image-based deep learning to differentiate tubal-ovarian abscess from ovarian endometriosis cyst via openalex

[14] W4387306878 via openalex

[15] W4310863801 via openalex

[16] W4306662087 via openalex

[17] W4286697402 via openalex

[18] W4280555323 via openalex

[19] W4220849519 via openalex

[20] W4205198611 via openalex

[21] W4402422025 via openalex

[22] W3195411785 via openalex

[23] W4311069821 via openalex