Healthcare Data & Analytic Adventures

🍽️ Popular Recipe Prediction

Data Science Report Notebook Screenshot

📊 Binary Classification 🐍 Python & scikit-learn 🔬 Data Cleaning & Feature Engineering 📈 Model Evaluation & Precision Optimization 🥗 Recipe Dataset Analysis 🚦 Traffic & Subscription Prediction
DataCamp Data Science exam predicting popular recipes to optimize website traffic and subscription growth, using logistic regression and decision tree classifiers with careful feature engineering and evaluation.

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🛒 Supermarket Loyalty Program

Associate Data Science Report Notebook Screenshot

📊 Predictive Modeling 🐍 Python 💳 Loyalty Program Analytics 💰 Customer Spend Forecasting 📈 Retail Data Science 🛍️ Supermarket Dataset
An Aassociate Data Scientist exam from DataCamp notebook predicting customer spending in a supermarket loyalty program to estimate rewards costs and forecast profitability, using predictive modeling and data science techniques.

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🩻 Eurorad Case: Complicated Double Bronchogenic Cysts

Eurorad Case: Complicated Double Bronchogenic Cysts Screenshot

🫁 Thoracic Imaging 👶 Pediatric Case 🩻 Bronchogenic Cysts 🏥 Clinical & Surgical Management 📚 Radiology Case Study
A rare pediatric case of double bronchogenic cysts presenting with respiratory distress and recurrent infections, diagnosed via chest X-ray and CT, followed by successful surgical resection. Emphasizes early diagnosis and clinical management.

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📑 Research Paper: Blood Pressure

Reaserch paper screenshot

📊 Statistical Analysis 🩺 Hypertension Research 📈 Correlation Study 🏥 Medical Data 💉 Blood Pressure Monitoring
A cross-sectional study comparing office blood pressure measurements by physicians with patient self-measurements in a calm environment, analyzing correlations with ambulatory blood pressure monitoring to improve hypertension management.

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📊 Blood Pressure Analysis

Blood Pressure Analysis Screenshot

📈 Data Analysis 🐍 Python & Pandas 🩺 Blood Pressure Dataset 📊 Jupyter Notebook
A short exploratory data analysis of blood pressure measurements based on the research comparing doctor and patient self-measurement values.

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🧬 New Analyses in Development

Stay tuned for upcoming healthcare data explorations.
🩹 Research in Progress...