Calculation of statistics

Budget: 6000 UAH Deadline: 7 days

Hello. The category "Databases and SQL" is not entirely accurate. SQL is suitable only for data extraction, while correlations and mathematical models fall under the realm of Data Science and medical statistics.

I am ready to implement both stages of your project in Python (Pandas, SciPy, Scikit-learn) or R:

Statistical analysis: I will perform data cleaning, calculate descriptive statistics, and find correlations (Pearson/Spearman) with mandatory assessment of statistical significance (p-value).

Predictive model: I will build an ML model (for example, logistic regression, Random Forest, or XGBoost) for classification and risk assessment of developing pathologies based on input factors.

Validation: I will evaluate the model's accuracy using ROC-AUC, Precision, and Recall metrics to ensure it has real clinical and predictive value, rather than just being overfitted to the test data.
Please write in private messages — we will discuss the structure of your data (volume, number of variables, presence of missing values) and I will start working immediately. Expand

Budget: 25000 UAH Deadline: 14 days

Good day! We have experience in processing medical data and building predictive models. We will implement the task using Python (Pandas, Scipy) for statistical analysis and will build a pathology prediction model based on machine learning libraries. We will ensure high accuracy of calculations and correct interpretation of results. We are ready to discuss the implementation details.
25000
14

Budget: 1000 UAH Deadline: 1 day

Good day, Kristina.

Medical data almost always has gaps and uneven distribution — therefore, the first step will be an audit of the data quality in your database, so that the correlations and forecasting model are based on a reliable foundation rather than on artifacts of incomplete records. Your data will undergo cleaning and normalization through direct SQL queries to PostgreSQL or MySQL, ensuring speed even with large volumes of data without the need for intermediate exports.

After cleaning, you will receive a complete correlation analysis with visualization — this will reveal hidden connections between factors and pathologies. The predictive model is built using AI approaches for classification and regression: each patient will be assigned a quantitative risk assessment for developing pathologies. The accuracy of the model is evaluated using sensitivity and specificity metrics — critically important for medical tasks, where false positives and false negatives have different weights.

The results are presented in a convenient format — Excel, CSV, or JSON — for direct integration into your clinical practice. To ensure the model is adequate, it is advisable to agree on the list of target pathologies and the minimum acceptable level of accuracy before starting work.

Options:
Basic
10,000–20,000 UAH
Obtaining basic statistics and analysis of relationships in your data.
• Complete statistical report on key indicators
• Correlation matrix to identify hidden patterns
• Data in Excel/CSV format for quick analysis
• Optimized SQL queries for reuse

Standard
25,000–45,000 UAH
Comprehensive solution: from deep statistics to a working forecasting model.
• Detailed statistical analysis and visualization of correlations
• Functional mathematical model for predicting the development of pathologies
• Quantitative risk assessment for each individual patient
• Report on the accuracy and validation of the model
• Instructions for interpreting results for doctors

Advanced
50,000–80,000 UAH
Maximum automation and extended integration with the forecasting system.
• All the advantages of the Standard package
• Development of a model supporting multiple types of pathologies
• Integration JSON interface for automatic updates of forecasts
• In-depth analysis of the impact of multiple factors on disease development
• Support and adjustment of the model based on new data for a month Expand

Budget: 1000 UAH Deadline: 1 day

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Budget: 700 UAH Deadline: 1 day

Good day!

I am a 3 in 1 - doctor, programmer, graduate student. Let's discuss the details of the available data privately, and I will think about how to best accomplish your task.

Budget: 700 UAH Deadline: 3 days

Good day!
I am ready to take on the calculation of statistics for your medical project, including correlation analysis — I work in Excel, and I can accurately calculate and visualize correlations.
Regarding the mathematical model for predicting the development of pathologies — this is a separate, more complex task. I suggest we first discuss what data you have (volume, format, variables) so that I can properly assess the approach and timeline for this part.
Price: 400 UAH for the calculation of statistics with correlations (provided that the data is available in a convenient format)
Deadline: 2–3 days from the moment of receiving the data
I am a newcomer to the marketplace, so I consciously keep the price minimal — the main thing for me now is to work on my first real case and receive honest feedback about our collaboration. I would appreciate the opportunity to demonstrate this in practice.
I am ready to discuss the details and start immediately after agreement.

Budget: 1500 UAH Deadline: 2 days

Good day! A university lecturer will complete your project on statistics quickly and efficiently! If you look at my reviews, you will see that I work in SPSS for processing results from statistics and their correlation, and I will build all the graphs! I will be happy to help you!)

Budget: 11111 UAH Deadline: 11 days

Hello.

I am ready to take on the task. I have extensive experience in processing, analyzing, and structuring complex data sets in Python. For forecasting, I will use modern machine learning algorithms that will accurately identify risks.

The exact cost and timeline will depend on the volume of your data and its cleanliness. I am always available and guarantee clear communication. Please send a sample table for a final assessment!

Budget: 25000 UAH Deadline: 15 days

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Budget: 27000 UAH Deadline: 21 days

We already have a practically ready solution for medical analytics and predictive models, which can be quickly adapted to your data and launch the first working result.

In terms of timing, I would estimate 2-3 weeks for the first version - statistics, correlations, data quality checks, a basic predictive model, and a clear report for the medical team.

Look, there’s a nuance here - for medical forecasting, it’s important not just to calculate correlations, but to check for data bias, missing values, clinical logic of features, and the quality of predictions on a holdout sample.

We can do this as a careful stage - first, data analysis and mathematical modeling, then if needed, add a dashboard or automatic calculations for new patients.

Let me clarify two things.
- What format is the data currently in - tables, database, export from the medical system?
- Should pathologies be predicted as a risk percentage, disease class, or change in indicators over time?

Relevant examples from Ingello.

- https://business.ingello.com/lita - a medical project close in domain and working with clinical processes
- https://business.ingello.com/rapport - a medical direction where data structuring and practical benefits for doctors are important
- https://business.ingello.com/vorfahr - an example of AI automation and working with models for business processes

The main landing page for Freelancehunt - https://systems-fl.ingello.com/ua

Ready to discuss details within the marketplace, I am available.

From my feelings, it’s better not to complicate the start here - first, validate the model on your data, and only then package it nicely in the interface. Expand