Classification of Mental Health Care Using the ELM, MLP, and CatBoost Stacking Framework
Mental health significantly impacts overall well-being, yet the increasing prevalence of mental health issues presents challenges in their effective classification and treatment. Traditional methods often fail to accurately handle complex, non-linear data, compromising the timeliness and appropri...
| Main Authors: | Noor, Azijah, Silvia, Ratna, M., Muflih, Haldi, Budiman, Usman, Syapotro, Khalisha, Ariyani |
|---|---|
| Format: | Article |
| Language: | English English |
| Published: |
INTI International University
2024
|
| Subjects: | |
| Online Access: | http://eprints.intimal.edu.my/2049/ http://eprints.intimal.edu.my/2049/1/jods2024_50.pdf http://eprints.intimal.edu.my/2049/2/590 |
Similar Items
Prediction of Jakarta's Air Quality Using a Stacking Framework of
CLSTM, CatBoost, SVR, and XGBoost
by: Usman, Syapotro, et al.
Published: (2024)
by: Usman, Syapotro, et al.
Published: (2024)
Poverty Classification in Indonesia Using BiGRU, BPNN, and Stacking
AdaBoost Frameworks
by: Khalisha, Ariyani, et al.
Published: (2024)
by: Khalisha, Ariyani, et al.
Published: (2024)
Comparison of SVM, Naive Bayes, and ELM Models in Plant Growth
Classification
by: M., Muflih, et al.
Published: (2024)
by: M., Muflih, et al.
Published: (2024)
Comparison of ELM, LSTM, and CNN Models in Breast Cancer
Classification
by: Silvia, Ratna, et al.
Published: (2024)
by: Silvia, Ratna, et al.
Published: (2024)
Water Level Prediction of Riam Kanan Dam Using ConvLSTM, BPNN,
Gradient Boosting, and XGBoosting Stacking Framework
(CLBGXGBoostS)
by: Usman, Syapotro, et al.
Published: (2024)
by: Usman, Syapotro, et al.
Published: (2024)
Diabetes Classification Using a Framework Stacking of BiLSTM, Logistic
Regression, and XGBoost
by: M. Rezqy, Noor Ridha, et al.
Published: (2024)
by: M. Rezqy, Noor Ridha, et al.
Published: (2024)
Classification of Heart Disease Using a Stacking Framework of BiGRU,
BiLSTM, and XGBoost
by: Haldi, Budiman, et al.
Published: (2024)
by: Haldi, Budiman, et al.
Published: (2024)
Comparison of Logistic Regression, Random Forest, SVM, KNN Algorithm
for Water Quality Classification Based on Contaminant Parameters
by: Teguh, Sutanto, et al.
Published: (2024)
by: Teguh, Sutanto, et al.
Published: (2024)
Machine Learning Models for Classification of Anemia from CBC Results:
Random Forest, SVM, and Logistic Regression
by: Muhammad Rafli, Aditya, et al.
Published: (2024)
by: Muhammad Rafli, Aditya, et al.
Published: (2024)
Electric vehicle battery state of charge estimation using metaheuristic-optimized CatBoost algorithms
by: Mohd Herwan, Sulaiman, et al.
Published: (2025)
by: Mohd Herwan, Sulaiman, et al.
Published: (2025)
Lung Cancer Classification Using Stacking Framework of BiLSTM,
Logistic Regression, and XGBoost
by: Muhammad Nikho, Dwi Putra, et al.
Published: (2025)
by: Muhammad Nikho, Dwi Putra, et al.
Published: (2025)
MLP Neural Networks using Octave NN Package
by: Lee, Nung Kion
Published: (2015)
by: Lee, Nung Kion
Published: (2015)
Emotion speech recognition using KDE and MLP neural networks
by: Abdul Rahman, Abdul Wahab, et al.
Published: (2011)
by: Abdul Rahman, Abdul Wahab, et al.
Published: (2011)
Analyzing driving behaviour using speech recognition through KDE and MLP
by: Abdul Rahman, Abdul Wahab, et al.
Published: (2011)
by: Abdul Rahman, Abdul Wahab, et al.
Published: (2011)
Driver identification and driver's emotion verification using KDE and MLP neural networks
by: Md Nor, Norzaliza, et al.
Published: (2010)
by: Md Nor, Norzaliza, et al.
Published: (2010)
Driver identification and driver's emotion verification using KDE and MLP neural networks
by: Abdul Rahman, Abdul Wahab, et al.
Published: (2011)
by: Abdul Rahman, Abdul Wahab, et al.
Published: (2011)
Stock Price Prediction of Bank Rakyat Indonesia Using an Ensemble Stacking Model of K-Nearest Neighbors (KNN) and Support Vector Machine (SVM)
by: Muhammad, Tamami, et al.
Published: (2025)
by: Muhammad, Tamami, et al.
Published: (2025)
PSO-Optimized CoVID-19 MLP-NARX mortality prediction model
by: Ihsan, Mohd Yassin, et al.
Published: (2021)
by: Ihsan, Mohd Yassin, et al.
Published: (2021)
Real-time human action recognition using stacked sparse autoencoders
by: Farooq, Adnan, et al.
Published: (2018)
by: Farooq, Adnan, et al.
Published: (2018)
FURIA stacking ensemble for ASD classification
by: Ainie Hayati, Noruzman, et al.
Published: (2022)
by: Ainie Hayati, Noruzman, et al.
Published: (2022)
An Action Arcade Web-Based Game – Slime Attack Plus (Stack-O-Slime)
by: Chan, Hoong Wai
Published: (2017)
by: Chan, Hoong Wai
Published: (2017)
Ensemble Learning Boosting Model of Improving Classification and Predicting
by: Bambang, Siswoyo A, et al.
Published: (2020)
by: Bambang, Siswoyo A, et al.
Published: (2020)
Pro Paws Feeder For Cats And Dogs Using Arduino And Telegram Bot
by: Muhammad Amirul Iman, Hassan
Published: (2022)
by: Muhammad Amirul Iman, Hassan
Published: (2022)
Mining stack overflow to recommend Java API classes using word embedding and topic modelling / Lee Wai Keat
by: Lee , Wai Keat
Published: (2019)
by: Lee , Wai Keat
Published: (2019)
Detecting opinion spams through supervised boosting approach
by: Mohamad, Hazim, et al.
Published: (2018)
by: Mohamad, Hazim, et al.
Published: (2018)
Light Gradient Boosting with Hyper Parameter Tuning Optimization for COVID-19 Prediction
by: Ferda, Ernawan, et al.
Published: (2022)
by: Ferda, Ernawan, et al.
Published: (2022)
Stacking with recursive feature elimination-isolation forest for classification of diabetes mellitus
by: Nur Farahaina, Idris, et al.
Published: (2024)
by: Nur Farahaina, Idris, et al.
Published: (2024)
CAT102 - PENGANTAR LOGIK & PENGABSTRAKAN - APR. 2000
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (2000)
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (2000)
Enhancing autism screening classification using feature selection and stacking classifier
by: Ainie Hayati, Noruzman, et al.
Published: (2023)
by: Ainie Hayati, Noruzman, et al.
Published: (2023)
CPT 102/CAT 101 - STRUKTUR DISKRET - SEPT. 2002
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (2002)
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (2002)
CPT102/CAT101 – STRUKTUR DISKRET - SEPT. 2001
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (2001)
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (2001)
CPT102/CAT101 – STRUKTUR DISKRET - SEPT. 2002
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (2002)
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (2002)
CPT102/CAT101 – STRUKTUR DISKRET - OKT. 2003
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (2003)
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (2003)
CPT102/CAT101 - STRUKTUR DISKRET APRIL 2004
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (2004)
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (2004)
CAT101/CSC111 - STRUKTUR DISKRET - APR. 1998
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (1998)
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (1998)
CAT101/CSC111 - STRUKTUR DISKRET - APR. 2000
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (2000)
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (2000)
CAT 101-CSC 111 - STRUKTUR DISKRET APRIL 2000.
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (2000)
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (2000)
CAT 101-CSC 111 - STRUKTUR DISKRET SEPT 1997.
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (1997)
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (1997)
CAT 102 - PENGANTAR LOGIK DAN PENGABSTRAKAN APRIL 2000.
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (2000)
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (2000)
CAT102 - Introduction to Logic and Abstraction August/September 1998
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (1998)
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (1998)
Similar Items
-
Prediction of Jakarta's Air Quality Using a Stacking Framework of
CLSTM, CatBoost, SVR, and XGBoost
by: Usman, Syapotro, et al.
Published: (2024) -
Poverty Classification in Indonesia Using BiGRU, BPNN, and Stacking
AdaBoost Frameworks
by: Khalisha, Ariyani, et al.
Published: (2024) -
Comparison of SVM, Naive Bayes, and ELM Models in Plant Growth
Classification
by: M., Muflih, et al.
Published: (2024) -
Comparison of ELM, LSTM, and CNN Models in Breast Cancer
Classification
by: Silvia, Ratna, et al.
Published: (2024) -
Water Level Prediction of Riam Kanan Dam Using ConvLSTM, BPNN,
Gradient Boosting, and XGBoosting Stacking Framework
(CLBGXGBoostS)
by: Usman, Syapotro, et al.
Published: (2024)