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@jespada
Created January 30, 2026 17:20
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Ferritin Levels Analysis - Hemochromatosis Treatment Tracking with Regression Projection
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Ferritin Levels Over Time - Hemochromatosis Treatment\n",
"\n",
"This notebook visualizes the ferritin levels and projects future values using regression."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>date</th>\n",
" <th>ferritin</th>\n",
" <th>notes</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2023-12-01</td>\n",
" <td>1630</td>\n",
" <td>Initial diagnosis UK</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2025-01-07</td>\n",
" <td>160</td>\n",
" <td>After 12-14 phlebotomies</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2025-04-03</td>\n",
" <td>141</td>\n",
" <td>After erythroaferesis</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>2025-05-09</td>\n",
" <td>124</td>\n",
" <td>Control</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2025-07-11</td>\n",
" <td>120</td>\n",
" <td>Control</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>2025-10-10</td>\n",
" <td>175</td>\n",
" <td>Increased - ordered erythroaferesis</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>2026-01-23</td>\n",
" <td>150</td>\n",
" <td>After erythroaferesis</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" date ferritin notes\n",
"0 2023-12-01 1630 Initial diagnosis UK\n",
"1 2025-01-07 160 After 12-14 phlebotomies\n",
"2 2025-04-03 141 After erythroaferesis\n",
"3 2025-05-09 124 Control\n",
"4 2025-07-11 120 Control\n",
"5 2025-10-10 175 Increased - ordered erythroaferesis\n",
"6 2026-01-23 150 After erythroaferesis"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"import matplotlib.dates as mdates\n",
"from datetime import datetime, timedelta\n",
"from scipy import stats\n",
"\n",
"# Ferritin data extracted from clinical history\n",
"data = {\n",
" 'date': [\n",
" '2023-12-01', # Diagnosis in UK\n",
" '2025-01-07', # After phlebotomies in UK\n",
" '2025-04-03', # After first erythroaferesis\n",
" '2025-05-09',\n",
" '2025-07-11',\n",
" '2025-10-10',\n",
" '2026-01-23', # After erythroaferesis\n",
" ],\n",
" 'ferritin': [\n",
" 1630, # Initial diagnosis\n",
" 160, # After 12-14 phlebotomies\n",
" 141, # Post erythroaferesis\n",
" 124,\n",
" 120,\n",
" 175, # Increased - needed new erythroaferesis\n",
" 150, # After erythroaferesis\n",
" ],\n",
" 'notes': [\n",
" 'Initial diagnosis UK',\n",
" 'After 12-14 phlebotomies',\n",
" 'After erythroaferesis',\n",
" 'Control',\n",
" 'Control',\n",
" 'Increased - ordered erythroaferesis',\n",
" 'After erythroaferesis',\n",
" ]\n",
"}\n",
"\n",
"df = pd.DataFrame(data)\n",
"df['date'] = pd.to_datetime(df['date'])\n",
"df"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Regression Analysis\n",
"\n",
"We'll analyze the treatment period (2025-2026) to project future ferritin levels."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"LINEAR REGRESSION RESULTS\n",
"========================================\n",
"Slope: 0.0282 ng/dL per day\n",
"Slope: 0.85 ng/dL per month\n",
"Intercept: 140.06 ng/dL\n",
"R-squared: 0.0335\n",
"P-value: 0.7284\n",
"Standard error: 0.0757\n"
]
}
],
"source": [
"# Filter to treatment period only (maintenance phase)\n",
"df_treatment = df[df['date'] >= '2025-01-01'].copy()\n",
"\n",
"# Convert dates to numeric (days since first measurement)\n",
"df_treatment['days'] = (df_treatment['date'] - df_treatment['date'].min()).dt.days\n",
"\n",
"# Linear regression\n",
"slope, intercept, r_value, p_value, std_err = stats.linregress(\n",
" df_treatment['days'], \n",
" df_treatment['ferritin']\n",
")\n",
"\n",
"print(\"LINEAR REGRESSION RESULTS\")\n",
"print(\"=\" * 40)\n",
"print(f\"Slope: {slope:.4f} ng/dL per day\")\n",
"print(f\"Slope: {slope * 30:.2f} ng/dL per month\")\n",
"print(f\"Intercept: {intercept:.2f} ng/dL\")\n",
"print(f\"R-squared: {r_value**2:.4f}\")\n",
"print(f\"P-value: {p_value:.4f}\")\n",
"print(f\"Standard error: {std_err:.4f}\")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"PROJECTION FOR APRIL 2026\n",
"========================================\n",
"Projected date: 2026-04-15\n",
"Days from treatment start: 463\n",
"Predicted ferritin: 153 ng/dL\n",
"Range estimate: 123 - 183 ng/dL\n",
"\n",
"Note: Without treatment, ferritin tends to rise ~0.8 ng/dL/month\n"
]
}
],
"source": [
"# Project future values\n",
"last_date = df_treatment['date'].max()\n",
"projection_date = pd.Timestamp('2026-04-15') # ~3 months from last measurement\n",
"\n",
"# Days from start of treatment period to projection\n",
"days_to_projection = (projection_date - df_treatment['date'].min()).days\n",
"\n",
"# Predicted value\n",
"predicted_ferritin = slope * days_to_projection + intercept\n",
"\n",
"# Confidence interval (95%)\n",
"n = len(df_treatment)\n",
"x_mean = df_treatment['days'].mean()\n",
"se_prediction = std_err * np.sqrt(1 + 1/n + (days_to_projection - x_mean)**2 / ((n-1) * df_treatment['days'].std()**2))\n",
"ci_95 = 1.96 * se_prediction * np.sqrt(n) # Rough CI\n",
"\n",
"print(\"\\nPROJECTION FOR APRIL 2026\")\n",
"print(\"=\" * 40)\n",
"print(f\"Projected date: {projection_date.strftime('%Y-%m-%d')}\")\n",
"print(f\"Days from treatment start: {days_to_projection}\")\n",
"print(f\"Predicted ferritin: {predicted_ferritin:.0f} ng/dL\")\n",
"print(f\"Range estimate: {max(50, predicted_ferritin - 30):.0f} - {predicted_ferritin + 30:.0f} ng/dL\")\n",
"print(f\"\\nNote: Without treatment, ferritin tends to rise ~{slope*30:.1f} ng/dL/month\")"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
"<Figure size 1400x1200 with 4 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Create visualization with regression and projection\n",
"fig, axes = plt.subplots(2, 2, figsize=(14, 12))\n",
"\n",
"# Plot 1: Full timeline\n",
"ax1 = axes[0, 0]\n",
"ax1.plot(df['date'], df['ferritin'], 'b-o', linewidth=2, markersize=8, label='Measured')\n",
"ax1.axhline(y=150, color='orange', linestyle='--', alpha=0.7)\n",
"ax1.axhline(y=50, color='green', linestyle='--', alpha=0.7)\n",
"ax1.axhspan(50, 150, alpha=0.15, color='green', label='Target (50-150)')\n",
"ax1.set_xlabel('Date')\n",
"ax1.set_ylabel('Ferritin (ng/dL)')\n",
"ax1.set_title('Full Timeline', fontsize=12, fontweight='bold')\n",
"ax1.legend(loc='upper right')\n",
"ax1.grid(True, alpha=0.3)\n",
"ax1.xaxis.set_major_formatter(mdates.DateFormatter('%b %Y'))\n",
"plt.setp(ax1.xaxis.get_majorticklabels(), rotation=45, ha='right')\n",
"\n",
"# Plot 2: Treatment period with regression\n",
"ax2 = axes[0, 1]\n",
"ax2.scatter(df_treatment['date'], df_treatment['ferritin'], s=100, c='blue', zorder=5, label='Measured')\n",
"\n",
"# Regression line\n",
"x_line = np.array([0, days_to_projection])\n",
"y_line = slope * x_line + intercept\n",
"dates_line = [df_treatment['date'].min() + timedelta(days=int(d)) for d in x_line]\n",
"ax2.plot(dates_line, y_line, 'r--', linewidth=2, label=f'Linear trend (Rยฒ={r_value**2:.2f})')\n",
"\n",
"# Projection point\n",
"ax2.scatter([projection_date], [predicted_ferritin], s=150, c='red', marker='*', zorder=6, \n",
" label=f'Projection: {predicted_ferritin:.0f} ng/dL')\n",
"\n",
"ax2.axhline(y=150, color='orange', linestyle='--', alpha=0.7)\n",
"ax2.axhline(y=50, color='green', linestyle='--', alpha=0.7)\n",
"ax2.axhspan(50, 150, alpha=0.15, color='green')\n",
"ax2.set_xlabel('Date')\n",
"ax2.set_ylabel('Ferritin (ng/dL)')\n",
"ax2.set_title('Treatment Period with Linear Regression', fontsize=12, fontweight='bold')\n",
"ax2.legend(loc='upper left')\n",
"ax2.grid(True, alpha=0.3)\n",
"ax2.xaxis.set_major_formatter(mdates.DateFormatter('%b %Y'))\n",
"plt.setp(ax2.xaxis.get_majorticklabels(), rotation=45, ha='right')\n",
"\n",
"# Plot 3: Detailed treatment period with labels\n",
"ax3 = axes[1, 0]\n",
"ax3.plot(df_treatment['date'], df_treatment['ferritin'], 'b-o', linewidth=2, markersize=12)\n",
"\n",
"for idx, row in df_treatment.iterrows():\n",
" ax3.annotate(f\"{int(row['ferritin'])}\", xy=(row['date'], row['ferritin']),\n",
" xytext=(0, 12), textcoords='offset points', ha='center', \n",
" fontsize=11, fontweight='bold')\n",
"\n",
"ax3.axhline(y=150, color='orange', linestyle='--', label='Upper limit')\n",
"ax3.axhline(y=50, color='green', linestyle='--', label='Lower limit')\n",
"ax3.axhspan(50, 150, alpha=0.15, color='green')\n",
"ax3.set_xlabel('Date')\n",
"ax3.set_ylabel('Ferritin (ng/dL)')\n",
"ax3.set_title('Treatment Period (2025-2026)', fontsize=12, fontweight='bold')\n",
"ax3.set_ylim(0, 200)\n",
"ax3.legend(loc='upper right')\n",
"ax3.grid(True, alpha=0.3)\n",
"ax3.xaxis.set_major_formatter(mdates.DateFormatter('%b %Y'))\n",
"plt.setp(ax3.xaxis.get_majorticklabels(), rotation=45, ha='right')\n",
"\n",
"# Plot 4: Projection scenarios\n",
"ax4 = axes[1, 1]\n",
"\n",
"# Create future dates\n",
"future_dates = pd.date_range(start=last_date, periods=120, freq='D')\n",
"future_days = [(d - df_treatment['date'].min()).days for d in future_dates]\n",
"\n",
"# Linear projection\n",
"future_linear = [slope * d + intercept for d in future_days]\n",
"\n",
"# Plot historical + projection\n",
"ax4.plot(df_treatment['date'], df_treatment['ferritin'], 'b-o', linewidth=2, markersize=10, label='Measured')\n",
"ax4.plot(future_dates, future_linear, 'r--', linewidth=2, alpha=0.7, label='Linear projection')\n",
"\n",
"# Highlight April projection\n",
"ax4.scatter([projection_date], [predicted_ferritin], s=200, c='red', marker='*', zorder=6)\n",
"ax4.annotate(f'Apr 2026\\n~{predicted_ferritin:.0f}', xy=(projection_date, predicted_ferritin),\n",
" xytext=(10, 10), textcoords='offset points', fontsize=11, fontweight='bold', color='red')\n",
"\n",
"ax4.axhline(y=150, color='orange', linestyle='--', alpha=0.7, label='Upper limit (150)')\n",
"ax4.axhline(y=50, color='green', linestyle='--', alpha=0.7, label='Lower limit (50)')\n",
"ax4.axhspan(50, 150, alpha=0.15, color='green')\n",
"ax4.set_xlabel('Date')\n",
"ax4.set_ylabel('Ferritin (ng/dL)')\n",
"ax4.set_title('Projection to April 2026', fontsize=12, fontweight='bold')\n",
"ax4.set_ylim(0, 250)\n",
"ax4.legend(loc='upper left')\n",
"ax4.grid(True, alpha=0.3)\n",
"ax4.xaxis.set_major_formatter(mdates.DateFormatter('%b %Y'))\n",
"plt.setp(ax4.xaxis.get_majorticklabels(), rotation=45, ha='right')\n",
"\n",
"plt.tight_layout()\n",
"plt.savefig('ferritin_projection.png', dpi=150, bbox_inches='tight')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Summary & Interpretation"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"============================================================\n",
"FERRITIN ANALYSIS SUMMARY\n",
"============================================================\n",
"\n",
"๐Ÿ“Š HISTORICAL DATA\n",
"----------------------------------------\n",
"2023-12-01: 1630 ng/dL โœ— - Initial diagnosis UK\n",
"2025-01-07: 160 ng/dL โœ— - After 12-14 phlebotomies\n",
"2025-04-03: 141 ng/dL โœ“ - After erythroaferesis\n",
"2025-05-09: 124 ng/dL โœ“ - Control\n",
"2025-07-11: 120 ng/dL โœ“ - Control\n",
"2025-10-10: 175 ng/dL โœ— - Increased - ordered erythroaferesis\n",
"2026-01-23: 150 ng/dL โœ“ - After erythroaferesis\n",
"\n",
"๐Ÿ“ˆ REGRESSION ANALYSIS (Treatment Period)\n",
"----------------------------------------\n",
"Trend: +0.8 ng/dL per month\n",
"R-squared: 0.034 (model fit quality)\n",
"P-value: 0.7284\n",
"\n",
"๐Ÿ”ฎ PROJECTION FOR APRIL 2026\n",
"----------------------------------------\n",
"Expected ferritin: ~153 ng/dL\n",
"Likely range: 123 - 183 ng/dL\n",
"\n",
"โš ๏ธ Projection exceeds target. May need erythroaferesis.\n",
"\n",
"============================================================\n",
"Note: This is a statistical projection. Actual values depend on\n",
"diet, treatments, and individual variation.\n",
"============================================================\n"
]
}
],
"source": [
"print(\"=\" * 60)\n",
"print(\"FERRITIN ANALYSIS SUMMARY\")\n",
"print(\"=\" * 60)\n",
"\n",
"print(\"\\n๐Ÿ“Š HISTORICAL DATA\")\n",
"print(\"-\" * 40)\n",
"for idx, row in df.iterrows():\n",
" status = 'โœ“' if 50 <= row['ferritin'] <= 150 else 'โœ—'\n",
" print(f\"{row['date'].strftime('%Y-%m-%d')}: {row['ferritin']:4.0f} ng/dL {status} - {row['notes']}\")\n",
"\n",
"print(\"\\n๐Ÿ“ˆ REGRESSION ANALYSIS (Treatment Period)\")\n",
"print(\"-\" * 40)\n",
"print(f\"Trend: {'+' if slope > 0 else ''}{slope * 30:.1f} ng/dL per month\")\n",
"print(f\"R-squared: {r_value**2:.3f} (model fit quality)\")\n",
"print(f\"P-value: {p_value:.4f}\")\n",
"\n",
"print(\"\\n๐Ÿ”ฎ PROJECTION FOR APRIL 2026\")\n",
"print(\"-\" * 40)\n",
"print(f\"Expected ferritin: ~{predicted_ferritin:.0f} ng/dL\")\n",
"print(f\"Likely range: {max(50, predicted_ferritin - 30):.0f} - {predicted_ferritin + 30:.0f} ng/dL\")\n",
"\n",
"if predicted_ferritin > 150:\n",
" print(f\"\\nโš ๏ธ Projection exceeds target. May need erythroaferesis.\")\n",
"elif predicted_ferritin < 50:\n",
" print(f\"\\nโš ๏ธ Projection below target. Monitor for iron deficiency.\")\n",
"else:\n",
" print(f\"\\nโœ“ Projection within target range (50-150 ng/dL)\")\n",
"\n",
"print(\"\\n\" + \"=\" * 60)\n",
"print(\"Note: This is a statistical projection. Actual values depend on\")\n",
"print(\"diet, treatments, and individual variation.\")\n",
"print(\"=\" * 60)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.13.11"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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