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Banabas_Kariuki

Banabas_Kariuki

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DocumentHealthcare Cost Prediction Using Statistical Modeling
Objectives include to: - • Describe and apply statistical modeling foundations, including inference and maximum likelihood estimation, to healthcare cost data. • Identify and utilize the appropriate predictive models (linear regression, decision trees, artificial neural networks) for estimating healthcare service costs in the Medicare system. • Perform model selection and validation to evaluate the best-performing model in terms of adjusted R-squared and root-mean-square error (RMSE). • Effectively communicate complex model outcomes to a general audience, illustrating the potential of predictive analytics in healthcare. • Utilize R programming to develop, fit, and assess models, employing packages like rpart, neuralnet, and caret for comprehensive data analysis.
Exploring the Impact of Socioeconomic Factors on Healthcare Costs for Acute Myocardial Infarction (AMI) Across Different Geographical Regions
This proposal integrates data analysis with a focus on real-world applications, making it a fitting project for demonstrating proficiency in course objectives and contributing to broader discussions in healthcare research and policy.
Exploring the Relationship Between Population and Accident Data in the US
The report analyzed the US Accidents dataset for the year 2021, focusing on three states: Michigan (MI), New York (NY), and Ohio (OH). The analysis aimed to provide insights into various aspects of accidents, including weather conditions, accidents per month, accidents during day and night, accidents on different sides of the road, and accidents caused by specific weather conditions. Here are the key findings from the analysis: Weather Conditions: The most common weather condition during accidents was "Fair," while the least common were "Hail," "Heavy Rain Shower/Windy," and "Dust Storm." NY had the highest number of accidents during fair weather conditions, while OH had the least. Monthly Accidents: The month with the highest number of cumulative accidents in the US was December, while February had the lowest number of accidents. December 23rd had the highest number of accidents in MI, NY, and OH. Accidents by Location: Most accidents happened on the right side of the road, with NY having the highest number of right-side accidents among the three states. Accidents by Severity and Weather Condition: Most accidents with severity 2 occurred when the weather was fair, followed by cloudy and light rain conditions. Accidents by Time of Day: NY had the highest number of accidents during both day and night, while OH had the least in both categories. Friday was the day of the week with the most accidents in both MI and NY. The analysis provides valuable insights into the US Accidents dataset for the year 2021, highlighting important patterns and trends related to weather conditions, monthly accidents, location, severity, time of day, and day of the week. These findings can be used to enhance road safety measures and improve accident prevention strategies in the analyzed states.
Report: Visualization and interpretation of Accidents in MI, NY, and OH
The report analyzed the US Accidents dataset for the year 2021, focusing on three states: Michigan (MI), New York (NY), and Ohio (OH). The analysis aimed to provide insights into various aspects of accidents, including weather conditions, accidents per month, accidents during day and night, accidents on different sides of the road, and accidents caused by specific weather conditions. Here are the key findings from the analysis: Weather Conditions: The most common weather condition during accidents was "Fair," while the least common were "Hail," "Heavy Rain Shower/Windy," and "Dust Storm." NY had the highest number of accidents during fair weather conditions, while OH had the least. Monthly Accidents: The month with the highest number of cumulative accidents in the US was December, while February had the lowest number of accidents. December 23rd had the highest number of accidents in MI, NY, and OH. Accidents by Location: Most accidents happened on the right side of the road, with NY having the highest number of right-side accidents among the three states. Accidents by Severity and Weather Condition: Most accidents with severity 2 occurred when the weather was fair, followed by cloudy and light rain conditions. Accidents by Time of Day: NY had the highest number of accidents during both day and night, while OH had the least in both categories. Friday was the day of the week with the most accidents in both MI and NY. The analysis provides valuable insights into the US Accidents dataset for the year 2021, highlighting important patterns and trends related to weather conditions, monthly accidents, location, severity, time of day, and day of the week. These findings can be used to enhance road safety measures and improve accident prevention strategies in the analyzed states.
Lab Test1
Knowledge Discovery and Data Mining
Decision Tree and kNN classification Cross Validation