You will get Build a Predictive Machine Learning Model for Healthcare Data
Project details
You will get a complete predictive machine learning solution tailored for healthcare and research data. I specialize in building end-to-end ML pipelines that transform raw clinical or biomedical datasets into accurate, actionable insights.
What I deliver:
✔ Cleaned and preprocessed datasets ready for analysis
✔ Predictive ML models (Logistic Regression, Random Forest, XGBoost, or Deep Learning)
✔ Performance evaluation with metrics and visualizations (accuracy, ROC, F1-score)
✔ Source code and documentation for reproducibility
✔ Clear report summarizing results and recommendations
With proven expertise in applying machine learning to healthcare and life sciences, I ensure models are accurate, interpretable, and scalable. Whether you need a proof-of-concept, advanced analysis, or a full deployment-ready pipeline, I provide solutions that fit your needs.
What I deliver:
✔ Cleaned and preprocessed datasets ready for analysis
✔ Predictive ML models (Logistic Regression, Random Forest, XGBoost, or Deep Learning)
✔ Performance evaluation with metrics and visualizations (accuracy, ROC, F1-score)
✔ Source code and documentation for reproducibility
✔ Clear report summarizing results and recommendations
With proven expertise in applying machine learning to healthcare and life sciences, I ensure models are accurate, interpretable, and scalable. Whether you need a proof-of-concept, advanced analysis, or a full deployment-ready pipeline, I provide solutions that fit your needs.
Machine Learning Tools
Amazon SageMaker, Azure Machine Learning, BERT, ChatGPT, GPT-3, Keras, MATLAB, MLflow, NLTK, NumPy, pandas, Python, Python Scikit-Learn, PyTorch, R, scikit-learn, SciPy, TensorFlow, TextBlob, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$250
|
Standard
$400
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 6 days | 8 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 2 | 3 | 6 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$85 - $225
Additional Revision
+$30
Additional Graph/Chart
(+ 1 Day)
+$50
Model Documentation
(+ 1 Day)
+$50
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About Adyasha
AI & ML Engineer | Data Science | NLP | Medical Imaging | PhD
Munich, Germany - 12:06 am local time
With a PhD in medical AI from LMU Munich and six years of hands-on experience, I have delivered end-to-end ML pipelines across clinical imaging, NLP, tabular health data, and federated infrastructure, validated across 11 European sites and thousands of patients. My work has been published in Nature Mental Health and Biological Psychiatry.
What I deliver:
- Predictive models and risk stratification systems for clinical and biomedical datasets
- Medical image analysis pipelines using CNNs, U-Net, and transformer architectures on MRI and DICOM data
- Clinical NLP systems with fine-tuned BERT-family models and SHAP-based interpretability
- Scalable containerized ML infrastructure on Docker, SLURM, HPC, AWS, and GCP
- Survival analysis and longitudinal outcome modeling on real-world patient cohorts
All deliverables are fully documented and reproducible, ready for your team to integrate or extend.
If you need senior ML engineering depth combined with genuine clinical domain expertise, let's talk.
Steps for completing your project
After purchasing the project, send requirements so Adyasha can start the project.
Delivery time starts when Adyasha receives requirements from you.
Adyasha works on your project following the steps below.
Revisions may occur after the delivery date.
Data Review & Cleaning
I will review the dataset, handle missing values, and prepare features.
Model Development
I will train predictive models (Logistic Regression, Random Forest, XGBoost, or Neural Networks) and optimize performance.