№ files_lp_3_process_9_28720
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Technical specification detailing the structure, feature definitions, regression formula, filter criteria, and performance characteristics of a machine-learning phenotype algorithm for classifying bipolar disorder cases from electronic health record data.
Document Version: 1.0.00-001
Document Identifier: BD_filterpositive_10May18
Date: 10May18
Institution: Harvard eMERGE
Subject: Bipolar Disorder (BD) phenotype algorithm
Type of Document: Algorithm implementation specification
Model Type: Penalized logistic regression (LASSO)
Data Source: Electronic Health Records (EHR)
Training Set: 200 chart-reviewed subjects
Gold Standard Method: ICCBD Diagnostician Review for Diagnosis & Confidence
Performance Metrics: PPV 0.918; TPR 0.563; FPR 0.05; NPV 0.687
Specificity Threshold: 0.95
Features Included: Age; ICD diagnosis codes; Medication codes
Filter Criteria: ≥3 ICD codes on three separate days; ≥1 clinical note; ≥1 BD diagnosis code
Outcome Definition: Predicted probability of bipolar disorder
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Supplementary Methods for Neuropsychological Functional Tests in Bipolar Disorder Patients
Year: Not specified
Region / City: Not specified
Topic: Neuropsychological assessment, bipolar disorder
Document type: Research supplementary methods
Organization / Institution: Not specified
Author: Not specified
Target audience: Researchers in neuropsychology, psychiatry, and related fields
Period of validity: Not specified
Approval date: Not specified
Modification date: Not specified
Supplementary information on brain functional changes across mood states in bipolar disorder: from a large-scale network perspective
Year: 2021
Region / city: Beijing, China
Field: Neuroscience, Psychiatry
Document type: Research article
Institution: 306th Hospital, Beijing, China; Chinese Academy of Sciences
Authors: Yan-Kun Wu, Yun-Ai Su, Le Li, Lin-Lin Zhu, Ke Li, Ji-Tao Li, Philip B Mitchell, Chao-Gan Yan, Tian-Mei Si
Target audience: Researchers, clinicians, and healthcare professionals in the fields of neuroscience and psychiatry
Period of validity: N/A
Approval date: N/A
Date of last modification: N/A
Basal ganglia subregion volume changes between acute-phase schizophrenia and bipolar disorder
Year: 2023
Region / City: Nanjing, Jiangsu Province, China
Topic: Neuroscience, Psychiatry, Schizophrenia, Bipolar Disorder
Document Type: Research Article
Organization / Institution: Affiliated Brain Hospital of Nanjing Medical University
Author: Yilin Tang, Ruiqiu Zhu, Yucheng Ling, Yifan Wang, Yingbo Dong, Peiyu Cao, Yuting Li, Qi Si, Guoxin Xu, Zhuma Jin, Yuxiu Sui
Target Audience: Psychiatry researchers, neuroscientists, medical professionals
Period of Activity: 2023
Date of Approval: 2023
Date of Changes: Not specified
Keywords: Schizophrenia, Bipolar disorder, Psychosis symptoms, MRI, Basal ganglia
Abstract: This study investigates the volume changes of basal ganglia subregions in patients with schizophrenia (SCZ), bipolar disorder (BD), and healthy controls (HC), with a focus on the relationship between these changes and psychotic symptoms.
Bipolar Disorder: Causes, Course, Treatment, and Outcomes
Title: Bipolar Disorder
Topic: Mental health
Subject: Bipolar disorder (manic depression)
Type of document: Informational overview
Main themes: Causes, hereditary factors, course of illness, categories, treatment, outcomes
Categories described: Bipolar I, Bipolar II, Cyclothymia, Bipolar NOS
Medical concepts mentioned: Neurotransmitters (serotonin, norepinephrine, dopamine), rapid cycling, comorbid conditions
Treatment approaches: Mood stabilizers, therapy, light therapy, healthy lifestyle
Statistical data included: 80% hereditary likelihood; 41% favorable outcome over 4 years; 4% mortality rate; 90.3% improvement with light therapy
Intended audience: General public
Sources cited: Judith Peacock (2000); Harvard Mental Health Letter (May 2006); Harvey Simon and David Zieve (2009–2010); Krisha McCoy (2009); Kimberly Read (2010)
Supplementary Figure 1: Post-hoc tests for free-water (FW) corrected fractional anisotropy (FAT) and FW values between adolescent-onset bipolar disorder with psychosis (psychotic ADO-BPD) and healthy controls (HC) on the left and between adolescent-onset schizophrenia (ADO-SCZ) and HC on the right (p<0.05, family-wise error corrected)
Year: Not specified
Region / City: Not specified
Topic: Neurological Disorders, Psychiatry, Neuroimaging
Document Type: Scientific Supplementary Figure
Organization / Institution: Not specified
Author: Not specified
Target Audience: Researchers, Clinicians
Period of Validity: Not specified
Approval Date: Not specified
Date of Changes: Not specified
Contextual Description: A scientific supplement detailing post-hoc comparisons of FAT and FW between healthy controls, adolescent-onset schizophrenia, and adolescent-onset bipolar disorder with psychosis, using neuroimaging data.
Application for the Post of Project Technical Support III and I at JIPMER for the Asian Bipolar Genetics Network (A-BIG-NET) 2024
Year: 2024
Institution: Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER)
Department: Psychiatry
Project: Asian Bipolar Genetics Network (A-BIG-NET)
Document Type: Job Application Form
Positions: Project Technical Support III (Research Assistant), Project Technical Support I (Lab Technician)
Target Audience: Job applicants for research project positions
Required Qualifications: Educational certificates from SSLC/Matriculation onwards
Nationality Requirement: Open
Gender: Male/Female/Other
Additional Requirements: SC/ST/OBC status proof, criminal record disclosure, willingness to travel for project work
Mental Health Nursing: Management of Depression and Bipolar Disorder in Clinical Settings
Year: 2026
Region / City: N/A
Subject: Mental Health, Psychiatric Nursing
Document Type: Clinical Guidelines
Institution: N/A
Author: N/A
Target Audience: Healthcare Professionals
Effective Period: N/A
Approval Date: N/A
Modification Date: N/A
Topics: 1000-001 10May18 Bipolar