Cornell Laboratory for Mental Health Informatics and Services Research
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Social_Support_Social_Isolation_Extraction
Social_Support_Social_Isolation_Extraction PublicForked from brajagopalcse/Social_Support_Social_Isolation_Extraction
Using Natural Language Processing to Identify Social Support and Social Isolation from Electronic Health Records of Psychiatric Patients: A Multi-Site Study
Python 1
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AI_Driven_Patient_Education_Materials
AI_Driven_Patient_Education_Materials PublicForked from brajagopalcse/AI_Driven_Patient_Education_Materials
Developing AI-driven Patient Education Materials
Jupyter Notebook
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AI-Driven-Suicide-Risk-Prediction-in-Post-Hospitalized-Men
AI-Driven-Suicide-Risk-Prediction-in-Post-Hospitalized-Men PublicForked from rnt4002/AI-Driven-Suicide-Risk-Prediction-in-Post-Hospitalized-Men
This research uncovers the increased suicide risk in men with mental illness post-hospitalization, analyzing 1.4M+ cases. It highlights the importance of targeted interventions based on identified …
Python
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Suicidality-History-Classifier
Suicidality-History-Classifier PublicA deep learning method to detect personal and family history of suicidal thoughts and behaviors.
Python
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CornellMHILab/Suicidal-Ideation-Extractor’s past year of commit activity - Social_Support_Social_Isolation_Extraction Public Forked from brajagopalcse/Social_Support_Social_Isolation_Extraction
Using Natural Language Processing to Identify Social Support and Social Isolation from Electronic Health Records of Psychiatric Patients: A Multi-Site Study
CornellMHILab/Social_Support_Social_Isolation_Extraction’s past year of commit activity - Suicidality-History-Classifier Public
A deep learning method to detect personal and family history of suicidal thoughts and behaviors.
CornellMHILab/Suicidality-History-Classifier’s past year of commit activity - AI-Driven-Suicide-Risk-Prediction-in-Post-Hospitalized-Men Public Forked from rnt4002/AI-Driven-Suicide-Risk-Prediction-in-Post-Hospitalized-Men
This research uncovers the increased suicide risk in men with mental illness post-hospitalization, analyzing 1.4M+ cases. It highlights the importance of targeted interventions based on identified risk factors.
CornellMHILab/AI-Driven-Suicide-Risk-Prediction-in-Post-Hospitalized-Men’s past year of commit activity - AI_Driven_Patient_Education_Materials Public Forked from brajagopalcse/AI_Driven_Patient_Education_Materials
Developing AI-driven Patient Education Materials
CornellMHILab/AI_Driven_Patient_Education_Materials’s past year of commit activity
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