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I will analyze biomedical and healthcare data using ml models
The Freelance Bubble
As AI/ML Lead at thefreelancebubble.com, I provide professional AI, machine learning, data science, and healthcare analytics solutions for researchers, clinicians, startups, and businesses. My experti...
Über diesen Service
I work with clinical, biomedical, epidemiological, laboratory, and structured healthcare datasets for prediction, classification, risk modeling, biomarker analysis, and outcome assessment.
My services include:
- Data cleaning and preprocessing
- Exploratory data analysis
- Feature engineering and selection
- Classification and regression models
- Patient risk and outcome prediction
- Biomarker and feature importance analysis
- Cross-validation and hyperparameter tuning
- ROC/AUC, sensitivity, specificity, precision, recall, F1, RMSE, and R²
- Model comparison and optimization
- SHAP and explainable AI
- Professional figures and visualizations
- Python/R source code and notebooks
- Model documentation and technical reporting
I use Python, R, Scikit-learn, XGBoost, TensorFlow, PyTorch, Jupyter, Colab, and RStudio.
Please contact me before ordering for deep learning, medical imaging, omics data, very large datasets, deployment, or API integration.
Programmiersprache:
Python
•
R
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MATLAB
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SQL
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Colab
Frameworks:
scikit-learn
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keras
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PyTorch
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Panda
•
Andere
APIs:
Andere
Tools:
Jupyter-Notizbuch
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tensorflow
•
Excel
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Stata
•
Colab
•
RStudio
•
Andere
Meine weiteren Dienstleistungen im Bereich Datenwissenschaft & ML
FAQ
What types of healthcare or biomedical data can you analyze?
I can work with structured clinical, biomedical, epidemiological, laboratory, patient outcome, biomarker, and research datasets. Please contact me first for medical imaging, omics, or highly specialized data.
What machine learning tasks can you perform?
I can perform classification, regression, risk prediction, patient stratification, outcome prediction, clustering, anomaly detection, biomarker analysis, and model comparison.
What do I need to provide before the project starts?
Please provide your dataset, study objective, target variable if applicable, expected outputs, and any preferred methods, metrics, or reporting requirements.
Can you evaluate diagnostic or predictive performance?
Yes. I can report relevant metrics such as ROC-AUC, sensitivity, specificity, precision, recall, F1-score, confusion matrices, RMSE, R², and other appropriate measures.
Do you provide explainable AI and feature importance?
Yes. SHAP analysis, feature importance, and interpretation can be included, especially in advanced projects or the Premium package.
Will I receive the source code?
Yes. Source code or reproducible notebooks can be provided according to the selected package.
Can you help with publication-ready results?
Yes. I can provide professional figures, tables, model-performance outputs, methodological documentation, and interpretation suitable for research reporting.
Can you work with sensitive patient data?
Please share only properly anonymized or de-identified data and ensure you have appropriate authorization to use it. Do not send identifiable patient information.
Can you guarantee a specific accuracy or clinical performance?
No. Model performance depends on dataset quality, sample size, class balance, feature relevance, and the underlying research question. I provide rigorous validation and transparent reporting.
Should I contact you before ordering?
Yes, particularly for large datasets, deep learning, medical imaging, omics, deployment, API integration, or complex biomedical research projects.
