Prediction of postpartum depression using machine learning techniques from social media text-Reference-Cited by-同舟云学术

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Prediction of postpartum depression using machine learning techniques from social media text

Published:2019-04-26 Issue:4 Volume:36 Page:
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Fatima Iram¹^ORCID,Abbasi Burhan Ud Din²,Khan Sharifullah²,Al‐Saeed Majed¹,Ahmad Hafiz Farooq¹,Mumtaz Rafia²

Affiliation:

1. College of Computer Sciences and Information TechnologyKing Faisal University Hofuf Saudi Arabia

2. School of Electrical Engineering and Computer ScienceNational University of Sciences and Technology Islamabad Pakistan

Funder

Deanship of Scientific Research, King Faisal University

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.12409

Reference43 articles.

1. In an Absolute State: Elevated Use of Absolutist Words Is a Marker Specific to Anxiety, Depression, and Suicidal Ideation

2. Diagnostic and Statistical Manual of Mental Disorders

3. Online emotional support delivered by trained volunteers: users’ satisfaction and their perception of the service compared to psychotherapy

4. The effects of postpartum depression on child development: A meta-analysis

5. Predictors of Postpartum Depression

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1. Effectiveness of artificial intelligence in detecting and managing depressive disorders: Systematic review;Journal of Affective Disorders;2024-09

2. Depression Symptoms Identification through Social Media Data: Applying Design Science Research to Develop a Classification Model;Anais Estendidos do XXIV Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS 2024);2024-06-25

3. Early depression detection using ensemble machine learning framework;International Journal of Information Technology;2024-06-12

4. Identificação de Sintomas de Depressão por Dados de Mídias Sociais: Aplicando Design Science Research para Desenvolver um Modelo de Classificação;Anais Estendidos do XX Simpósio Brasileiro de Sistemas de Informação (SBSI 2024);2024-05-20

5. Identificacão de Sintomas de Depressão por Dados de Mídias Sociais: Aplicando Design Science Research para Desenvolver um Modelo de Classificação;Anais Estendidos do XIX Simpósio Brasileiro de Sistemas Colaborativos (SBSC Estendido 2024);2024-04-29

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