Towards Interpretable Suicide Risk Prediction: A Hybrid Approach with Feature Extraction and Sequential Binary Classification

Authors

Jeongeun Choi (ORCID: https://orcid.org/0009-0007-3599-0808)
Shiying Fan

Institutions

Fraunhofer Institute for Secure Information Technology (DE)

Publication Details

Published: 2025-12-08
DOI: https://doi.org/10.1109/bigdata66926.2025.11402450
Primary Topic: Explainable Artificial Intelligence (XAI)
Type: article
Field-Weighted Citation Impact: 0.00

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Towards Interpretable Suicide Risk Prediction: A Hybrid Approach with Feature Extraction and Sequential Binary Classification

Jeongeun Choi, Shiying Fan

Dec 8, 2025

Explainable Artificial Intelligence (XAI)

article

Towards Interpretable Suicide Risk Prediction: A Hybrid Approach with Feature Extraction and Sequential Binary Classification

Jeongeun Choi, Shiying Fan

December 8, 2025article en

Abstract

No abstract available for this paper.

Fraunhofer Institute for Secure Information Technology (DE)

Gender equality

Openalex Percentile: Top 13%

Explainable Artificial Intelligence (XAI)

DOI Source OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Towards Interpretable Suicide Risk Prediction: A Hybrid Approach with Feature Extraction and Sequential Binary Classification — Jeongeun Choi, Shiying Fan · (2025) | TGRS Research Map | TGRS