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Browse files- ARCHITECTURE.md +1 -1
- arch.md +1 -1
- frontend/src/app/architecture/page.tsx +1 -1
ARCHITECTURE.md
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@@ -176,7 +176,7 @@ Before feeding raw signals into estimators, the pipeline executes deterministic
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1. **Target Leakage Prevention**: Strips redundant alarm flags (`Heart Rate Alert`, `SpO2 Alert`, `Blood Pressure Alert`).
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2. **Encoding Normalization**: Replaces corrupt degree characters (`\ufffd` or ISO artifacts) with UTF-8 `°`.
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3. **Risk Severity Interaction Feature**:
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$$\text{Risk
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4. **Standard Scaling**:
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$$z_j = \frac{x_j - \mu_j}{\sigma_j} \quad \text{for } j \in [0, 5]$$
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1. **Target Leakage Prevention**: Strips redundant alarm flags (`Heart Rate Alert`, `SpO2 Alert`, `Blood Pressure Alert`).
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2. **Encoding Normalization**: Replaces corrupt degree characters (`\ufffd` or ISO artifacts) with UTF-8 `°`.
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3. **Risk Severity Interaction Feature**:
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$$\text{Risk\textunderscore Severity} = \mathbb{I}(\text{Heart\textunderscore Rate} > 105) + \mathbb{I}(\text{SpO2\textunderscore Level} < 94)$$
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4. **Standard Scaling**:
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$$z_j = \frac{x_j - \mu_j}{\sigma_j} \quad \text{for } j \in [0, 5]$$
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arch.md
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@@ -129,7 +129,7 @@ $$z_j = \frac{x_j - \mu_j}{\sigma_j} \quad \text{for } j \in \{0, 1, 2, 3, 4, 5\
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### 3.3. Synthetic Clinical Interaction Feature (Risk Severity)
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To capture non-linear cardiogenic shock risk without expanding deep tree depth, a deterministic clinical heuristic is synthesized prior to inference:
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$$\text{Risk
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Where $\mathbb{I}(\cdot)$ is the indicator function:
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### 3.3. Synthetic Clinical Interaction Feature (Risk Severity)
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To capture non-linear cardiogenic shock risk without expanding deep tree depth, a deterministic clinical heuristic is synthesized prior to inference:
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$$\text{Risk\textunderscore Severity} = \mathbb{I}(\text{Heart\textunderscore Rate} > 105) + \mathbb{I}(\text{SpO2\textunderscore Level} < 94)$$
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Where $\mathbb{I}(\cdot)$ is the indicator function:
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frontend/src/app/architecture/page.tsx
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@@ -80,7 +80,7 @@ P(\\text{Class}_c \\mid X) = \\frac{\\sum_{i=1}^{M=5} w_i \\cdot P_i(\\text{Clas
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z_j = \\frac{x_j - \\mu_j}{\\sigma_j} \\quad \\text{for } j \\in \\{0, 1, 2, 3, 4, 5\\}
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% 3. Clinical Risk Severity Interaction Feature
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\\text{Risk
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% 4. INT8 Fixed-Point Affine Quantization
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Q = \\text{clamp}\\left( \\left\\lfloor \\frac{W}{\\text{scale}} \\right\\rceil, -128, 127 \\right), \\quad \\text{scale} = \\frac{\\max(|W|)}{127}
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z_j = \\frac{x_j - \\mu_j}{\\sigma_j} \\quad \\text{for } j \\in \\{0, 1, 2, 3, 4, 5\\}
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% 3. Clinical Risk Severity Interaction Feature
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\\text{Risk\\textunderscore Severity} = \\mathbb{I}(\\text{Heart\\textunderscore Rate} > 105) + \\mathbb{I}(\\text{SpO2\\textunderscore Level} < 94)
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% 4. INT8 Fixed-Point Affine Quantization
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Q = \\text{clamp}\\left( \\left\\lfloor \\frac{W}{\\text{scale}} \\right\\rceil, -128, 127 \\right), \\quad \\text{scale} = \\frac{\\max(|W|)}{127}
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