Okes2024 / Predicting-Hospital-Readmission-RatesLinks
Goal: Develop ML models to identify high-risk patients for hospital readmission within 30 days of discharge. Approach: Analyze clinical data, demographics, and medical history using classification algorithms to predict readmission probability. Impact: Reduce healthcare costs and improve patient outcomes through targeted interventions.
☆50Updated 5 months ago
Alternatives and similar repositories for Predicting-Hospital-Readmission-Rates
Users that are interested in Predicting-Hospital-Readmission-Rates are comparing it to the libraries listed below
Sorting:
- This project generates synthetic ADHD and control patient data, applying machine learning and statistical analysis to uncover behavioral …☆51Updated 4 months ago
- This project uses Natural Language Processing (NLP) to perform sentiment analysis on internal communications, helping organizations under…☆59Updated 3 months ago
- This project demonstrates building a synthetic mental health support chatbot. It generates a labeled dataset, trains an intent classifier…☆59Updated 3 months ago
- This project applies machine learning to predict suicide risk using synthetic psychological, demographic, and behavioral data. It demonst…☆51Updated 4 months ago
- Goal: Predict future employee performance using historical Key Performance Indicators (KPIs). Method: Apply ML models to analyze produc…☆49Updated 5 months ago
- Text Mining in Employee Feedback Surveys applies natural language processing to analyze employee comments, uncover hidden themes, sentime…☆54Updated 4 months ago
- Synthetic modeling of Urban Heat Islands (UHI) using satellite-like data. Generates spectral bands, vegetation and urban indices, and lan…☆49Updated 4 months ago
- Machine learning to optimize team formation by clustering individuals based on personality traits and strategically forming diverse teams☆45Updated 5 months ago
- ☆44Updated 9 months ago
- This project uses NLP to analyze synthetic patient journals for anxiety trends. It applies text preprocessing, scoring, and topic modelin…☆54Updated 4 months ago
- This project simulates EEG signals and applies machine learning to classify stress levels. Using band power features and biomarkers like …☆52Updated 4 months ago
- ☆45Updated 9 months ago
- project leverages synthetic VR session data to analyze patient responses in exposure therapy. Using statistical and visualization techniq…☆49Updated 5 months ago
- This project develops a machine learning model to predict employee job satisfaction based on key organizational factors. The solution hel…☆46Updated 6 months ago
- This study aimed to model and predict iron concentrations in groundwater within Yenagoa, Bayelsa State, Nigeria, using machine learning t…☆49Updated 9 months ago
- Climate Change Impact Analysis is a Python-based application designed to explore and analyze datasets related to temperature, precipitati…☆37Updated 11 months ago
- Objective: Predict chronic disease onset using Electronic Health Records (EHRs). Method: Apply ML algorithms to identify high-risk pati…☆56Updated 4 months ago
- This project forecasts renewable energy demand using LSTM-based time series models. It processes historical demand data, trains predictiv…☆55Updated 4 months ago
- ☆38Updated 9 months ago
- The use of advanced remote sensing technologies to measure atmospheric concentrations of gases like carbon dioxide (CO₂), methane (CH₄), …☆37Updated 2 weeks ago
- A Chart for Water Parameters is a visual representation of key water quality indicators, such as pH, turbidity, dissolved oxygen, conduct…☆36Updated 11 months ago
- A prototype chatbot that analyzes symptoms using ML, suggesting possible conditions based on synthetic data. Educational use only, demons…☆60Updated 4 months ago
- ☆37Updated 9 months ago
- This project predicts the quality of water based on various water parameters and pollutants using machine learning and deep learning tech…☆37Updated 11 months ago
- ☆36Updated 9 months ago
- Okes2024 / Data-driven-assessment-of-soil-heavy-metal-contamination-Rivers-State-Nigeria-using-multivariate-This study leverages data science methodologies to quantitatively assess soil contamination in Joinkrama, Ahoada West LGA, Rivers State, …☆57Updated last month
- This project simulates IoT sensor data to predict Air Quality Index (AQI) using machine learning. It generates synthetic datasets, comput…☆65Updated 2 months ago
- This project leverages AI to screen resumes for cultural fit, enhancing recruitment by matching candidates’ values, work styles, and soft…☆51Updated 4 months ago
- Okes2024 / Utilizing-Machine-Learning-and-DSAS-to-Analyze-Historical-Trends-Forecast-Future-Shoreline-ChangeThe dynamic nature of forecasting shoreline changes in the Niger Delta over 50 years (1974–2024) by leveraging satellite imagery and mac…☆37Updated 9 months ago
- ☆36Updated 9 months ago