Open-Source NLP Systems for Identifying Social Support and Isolation in Psychiatric Notes | HackerNoonOpen-source NLP systems effectively identify social support and social isolation in psychiatric notes using rule-based and LLM approaches.
Extracting Social Support and Isolation Info From Clinical Notes: Demo and System Performance | HackerNoonYounger and more diverse patient demographics were observed at MSHS compared to WCM.The Rule-Based System (RBS) showed superior performance over LLM in classifying social support and isolation.
Developing Rule and LLM-Based Systems to Identify Mentions of Fine-Grained Categories | HackerNoonThe study presents a novel approach to identifying social support and isolation in clinical notes using rule-based and LLM systems.
Natural Language Processing for Risk Assessment: Identifying SI/SS in Psychiatric Notes | HackerNoonNLP systems can effectively identify social support and isolation in psychiatric clinical notes.Rule-based systems may outperform LLMs in clinical data categorization tasks.
This Is How We Created Gold Standard Data for Developing the NLP Pipelines | HackerNoonCreating a gold standard data set for NLP requires diverse patient notes with targeted annotations to enhance accuracy in understanding social support and isolation.
Open-Source NLP Systems for Identifying Social Support and Isolation in Psychiatric Notes | HackerNoonOpen-source NLP systems effectively identify social support and social isolation in psychiatric notes using rule-based and LLM approaches.
Extracting Social Support and Isolation Info From Clinical Notes: Demo and System Performance | HackerNoonYounger and more diverse patient demographics were observed at MSHS compared to WCM.The Rule-Based System (RBS) showed superior performance over LLM in classifying social support and isolation.
Developing Rule and LLM-Based Systems to Identify Mentions of Fine-Grained Categories | HackerNoonThe study presents a novel approach to identifying social support and isolation in clinical notes using rule-based and LLM systems.
Natural Language Processing for Risk Assessment: Identifying SI/SS in Psychiatric Notes | HackerNoonNLP systems can effectively identify social support and isolation in psychiatric clinical notes.Rule-based systems may outperform LLMs in clinical data categorization tasks.
This Is How We Created Gold Standard Data for Developing the NLP Pipelines | HackerNoonCreating a gold standard data set for NLP requires diverse patient notes with targeted annotations to enhance accuracy in understanding social support and isolation.
NLP Performance in Clinical Notes: Addressing Data Limitations and System Overfitting | HackerNoonNLP systems struggled with emotional support categories due to data insufficiency.