A Hybrid Deep Learning Approach with Interpretability on BiLSTM-Dense SHAP Enhanced Model (BDSEM) for Depression Prediction

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Publication Details

Journal
International Journal of Internet Manufacturing and Services
Published
2025-08-05
DOI
https://doi.org/10.1504/ijims.2027.10072773
Primary Topic
Brain Tumor Detection and Classification
Type
article
Field-Weighted Citation Impact
0.00
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article

A Hybrid Deep Learning Approach with Interpretability on BiLSTM-Dense SHAP Enhanced Model (BDSEM) for Depression Prediction

S. Geetha, S.Nalini Poornima
International Journal of Internet Manufacturing and Services
Brain Tumor Detection and Classification
article

A Hybrid Deep Learning Approach with Interpretability on BiLSTM-Dense SHAP Enhanced Model (BDSEM) for Depression Prediction

S. Geetha, S.Nalini Poornima
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Internet Manufacturing and ServicesVol. 13(2)
Openalex Percentile: Top 75%
Brain Tumor Detection and Classification
DOISourceOpenAlex
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A Hybrid Deep Learning Approach with Interpretability on BiLSTM-Dense SHAP Enhanced Model (BDSEM) for Depression Prediction — S. Geetha, S.Nalini Poornima · International Journal of Internet Manufacturing and Services (2025) | TGRS Research Map | TGRS