Article

Zhixin: An Instruction-Tuned Large Language Model for Mental Disorder Diagnosis

2025-12-05

Abstract excerpt

<title>Abstract</title> <p>Automatic diagnosis of mental disorder from chief complaints is an appealing but challenging task. Large Language Models (LLMs) have shown rich knowledge and strong reasoning ability in medical domain. However, mental disorder diagnosis based on chief complaints requires highly specialised knowledge. Lack of corresponding resources hinders LLMs performance on this task. To address this...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 1d1aeffb-a098-5af8-a496-7740bcec614e
DOI: 10.21203/rs.3.rs-8149707/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Zhixin: An Instruction-Tuned Large Language Model for Mental Disorder DiagnosisDOI 10.21203/rs.3.rs-8149707/v1Read

Tuning LLaMA Model with Mental Disorders KnowledgeSemantic proximity Read

Revolutionizing Disease Diagnosis with Large Language Models: A Systematic ReviewSemantic proximity Read

Me-LLaMA: Medical Foundation Large Language Models for Comprehensive Text Analysis and BeyondSemantic proximity Read

Evaluating Enhanced LLMs for Precise Mental Health Diagnosis from Clinical NotesSemantic proximity Read

Evaluating approaches of training a generative large language model for multi-label classification of unstructured electronic health recordsSemantic proximity Read

Generalist Foundation Models Are Not Clinical Enough for Hospital OperationsSemantic proximity Read

Large-Scale Psychiatric Concept Extraction from Electronic Health Records: A Comparative Study of Encoder-Based Language ModelsSemantic proximity Read

Comparative evaluation of large-language models and purpose-built software for medical record de-identificationSemantic proximity Read

TurkishMedLLM: A Source-Grounded and Safety-Aware Turkish Medical LLM for Clinical Decision Support and Digital Health ApplicationsSemantic proximity Read

MulMed: Addressing Multiple Medical Tasks Utilizing Large Language ModelsSemantic proximity Read

Medical Large Language Models: Methods and ApplicationsSemantic proximity Read

Using a Fine-tuned Large Language Model for Symptom-based Depression EvaluationSemantic proximity Read