Classifying opioid use disorder based on diagnostic criteria items using cluster analysis

Based on cluster analysis, two main clusters of DSM5 criteria emerged. Rather than DSM5 symptoms clustering with each other based on the similarity of symptomatology, they aggregate numerically reflecting severity.

Authors

Institutions

Publication Details

Journal
Industrial Psychiatry Journal
Published
2025-01-01
DOI
https://doi.org/10.4103/ipj.ipj_430_24
Primary Topic
Substance Abuse Treatment and Outcomes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Classifying opioid use disorder based on diagnostic criteria items using cluster analysis

Shweta Birla, Vinit Patel, Yatan Pal Singh Balhara, Siddharth Sarkar et al.
Industrial Psychiatry Journal
Substance Abuse Treatment and Outcomes
article

Classifying opioid use disorder based on diagnostic criteria items using cluster analysis

Shweta Birla, Vinit Patel, Yatan Pal Singh Balhara, Siddharth Sarkar, Rishi Jay Gupta, Dinesh Gupta
article en

Abstract

Based on cluster analysis, two main clusters of DSM5 criteria emerged. Rather than DSM5 symptoms clustering with each other based on the similarity of symptomatology, they aggregate numerically reflecting severity.

Industrial Psychiatry JournalVol. 34(1)
All India Institute of Medical Sciences Raipur (IN), Cognizant (India) (IN), International Centre for Genetic Engineering and Biotechnology (IN), All India Institute of Medical Sciences (IN)
Openalex Percentile: Top 88%
Substance Abuse Treatment and Outcomes
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.