1. System Overview & Philosophy

Design Philosophy

Symptom Catcher is designed to "augment clinical insight with AI". Overcoming limitations of single-questionnaire tools:

• Provides 5-dimensional profile, not single score
• Presents integrated diagnostic context, not individual diagnosis
• Auto-detects comorbidities and differentials
• Integrates with objective brain measurements (QEEG, ERP, HRV)

System Architecture

Patient → Module Selection (Clinician) → Questionnaire
                                              ↓
                                    Response Collection
                                              ↓
                          ┌───────────────────────────────┐
                          │    FiveLensEngine (per mod)   │
                          │  Lens 1: General Population   │
                          │  Lens 2: Age/Gender Cohort    │
                          │  Lens 3: Profile Cohort       │
                          │  Lens 4: Personal Baseline    │
                          │  Lens 5: Item Pattern         │
                          └───────────────────────────────┘
                                              ↓
                          ┌───────────────────────────────┐
                          │     FusionEngine (multi-mod)   │
                          │  - Bayesian Posterior         │
                          │  - Comorbidity Detection      │
                          │  - Differential Diagnosis     │
                          │  - Cross-Module Pattern       │
                          │  - Safety Integration         │
                          └───────────────────────────────┘
                                              ↓
                              Integrated Clinical Report

2. 31 AI Modules in Detail

🟦 Mood Disorders (3)

🟧 Anxiety / OCD / Trauma (3)

🟪 Psychotic Spectrum (3)

🟩 Neurodevelopmental / Cognitive (5)

🌙 Sleep Disorders (5)

🍽️ Eating Disorders (3)

💊 Substance / Impulse (3)

👤 Personality / Dissociative / Somatic (6)

3. 5-Lens Analysis System

Lens 1: General Population

• Reference: 15,000-subject normative DB mean ± SD
• Output: Z-score, Percentile
• Clinical meaning: "This patient is in the top ___% of the population"

Lens 2: Age-Gender Cohort

• Reference: Same age × gender group
• Cohorts: 18-29 M/F, 30-49 M/F, 50-64 M/F, 65+
• Clinical meaning: Age and gender context-reflected interpretation

Lens 3: Symptom Profile Cohort

• Reference: Patients with similar profile
• Classification: Emotional-dominant / Somatic / Cognitive / Mixed
• Clinical meaning: Auto-detection of Melancholic, Atypical, Mixed features

Lens 4: Personal Baseline

• Reference: Patient's own past scores
• Output: Δ (change), trend (worsening/improving/stable)
• Clinical meaning: Quantitative treatment response tracking

Lens 5: Item Pattern

• Analysis: Individual item patterns, not total score
• Detection: Dominant subscale, Extreme items, Clinical patterns
• Clinical meaning: Subtle clinical subtypes

4. Fusion Engine Principles

Bayesian Posterior Calculation

P(Dx | evidence) = P(evidence | Dx) × P(Dx) / P(evidence)

- P(Dx): Prior probability (prevalence)
- P(evidence | Dx): Probability of symptom pattern given diagnosis
- Posterior: Probability considering observed symptom pattern

Comorbidity Detection

• 21 comorbidity rates embedded (literature-based)
• Major comorbid pairs:
  • MDD + GAD: 60%
  • ADHD + MDD (adult): 50%
  • PTSD + MDD: 48%
  • OCD + MDD: 30%
  • BPD + MDD: 83%

Differential Diagnosis Rules (7)

1. MDD vs Bipolar → Check past mania/hypomania
2. ADHD vs Cognitive Decline → Onset timing (childhood vs adulthood)
3. PTSD vs BPD → Trauma history, relationship instability
4. Schizophrenia vs Bipolar psychotic → Mood episode duration
5. Anxiety vs Bipolar → Energy level, sleep pattern
6. Depression vs Dementia → Cognitive decline pattern
7. Substance-induced vs Primary → Use history

5. Clinical Workflow

First Visit Recommended Flow

6. Results Interpretation Guide

Safety Banner (Highest Priority!)

Diagnosis Rankings

• Primary (1st): Posterior > 50% = High confidence
• Secondary (2nd): 15-50% = DDx needed or comorbidity
• 3rd-5th: 5-15% = Consider further exploration

5-Lens Interpretation

Z-score Range	Interpretation	Recommendation
Z < 1.0	Normal range	Monitor
1.0 ≤ Z < 2.0	Mild elevation	Watch, reassess
2.0 ≤ Z < 3.0	Moderate elevation	Clinical eval, consider treatment
Z ≥ 3.0	Severe elevation	Immediate intervention

7. Safety Protocols

Crisis Resources (Provide to Patient)

• 🇺🇸 988 - Suicide & Crisis Lifeline
• 🇰🇷 1393 - Suicide Prevention
• 1577-0199 - Mental Health Crisis

8. QEEG / ERP / HRV Integration (Boston Neuromind Specialty)

AI Module × Objective Measurement Integration

AI Module	QEEG Marker	ERP Marker	HRV Marker
AttendCatcher18	Theta/Beta ↑	P300 ↓	Reduced regulation
MoodCatcher9	Alpha asymmetry	P200 change	HRV ↓
AnxiCatcher7	Beta ↑	N200 ↑	LF/HF imbalance
TraumaCatcher20	Alpha ↓	P300 change	HRV severely ↓
PsychosisCatcher12	Alpha peak ↓	P300 ↓↓	-

9. Limitations & Cautions

Appropriate Use

• ✅ Initial screening
• ✅ Treatment progress tracking
• ✅ Comorbidity consideration
• ✅ Clinical decision support
• ❌ Standalone diagnosis
• ❌ Legal/administrative purposes

10. References

Core References

• American Psychiatric Association (2022). DSM-5-TR
• Kroenke K, Spitzer RL (2001). PHQ-9
• Spitzer RL, et al. (2006). GAD-7
• Conners CK, et al. (1999). CAARS
• Weathers FW, et al. (2013). PCL-5
• Foa EB, et al. (2002). OCI-R
• Kay SR, et al. (1987). PANSS
• Bastien CH, et al. (2001). ISI
• Baron-Cohen S, et al. (2001). AQ
• Zanarini MC, et al. (2003). MSI-BPD

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Clinician Manual v1.0 · 2026
Boston Neuromind LLC | Canton, MA, USA
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