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Predicting patient risk for chronic diseases using electronic health records and machine learning – Complete Phd and Masters Thesis

Predicting patient risk for chronic diseases using electronic health records and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction Chronic diseases, such as heart disease, diabetes, and cancer, are major public health challenges worldwide. These diseases are responsible for a significant portion of healthcare costs and are a leading cause of mortality…

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Recommender systems for online education using student performance data and course content – Complete Phd and Masters Thesis

Recommender systems for online education using student performance data and course content – Complete Phd and Masters Thesis

[ad_1] Introduction: In recent years, online education has become increasingly popular, offering students flexibility and convenience in pursuing their academic goals. However, with the vast amount of online courses available, students often struggle to find…

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Sentiment analysis of customer reviews for brand reputation management using text mining and machine learning – Complete Phd and Masters Thesis

Sentiment analysis of customer reviews for brand reputation management using text mining and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction In today’s digital age, customer reviews play a crucial role in shaping brand reputation. Consumers often base their purchasing decisions on the opinions and experiences shared by others online. As such, businesses must…

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Demand forecasting for inventory optimization in the automotive industry using time series analysis and sales data – Complete Phd and Masters Thesis

Demand forecasting for inventory optimization in the automotive industry using time series analysis and sales data – Complete Phd and Masters Thesis

[ad_1] Introduction In the highly competitive automotive industry, companies are constantly looking for ways to optimize their inventory management to meet customer demand while minimizing excess inventory and holding costs. Demand forecasting plays a crucial…

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Customer segmentation for product recommendations using clustering algorithms and customer preferences – Complete Phd and Masters Thesis

Customer segmentation for product recommendations using clustering algorithms and customer preferences – Complete Phd and Masters Thesis

[ad_1] Introduction Customer segmentation is a crucial aspect of marketing strategy as it allows companies to tailor their products and services to specific groups of customers. By identifying customer preferences and behaviors, companies can effectively…

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Predictive modeling for customer lifetime value in the banking industry using financial data and machine learning – Complete Phd and Masters Thesis

Predictive modeling for customer lifetime value in the banking industry using financial data and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction The banking industry is becoming increasingly competitive with the rise of digital banking and fintech companies. In order to stay ahead in this competitive landscape, banks need to understand their customers better and…

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Sentiment analysis of social media posts for mental health monitoring using text mining and deep learning – Complete Phd and Masters Thesis

Sentiment analysis of social media posts for mental health monitoring using text mining and deep learning – Complete Phd and Masters Thesis

[ad_1] Introduction: In recent years, social media platforms have become a popular medium for individuals to express their thoughts, feelings, and emotions. With the rise of social media usage, there is a growing interest in…

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Customer churn prediction in the streaming video industry using viewer engagement data and machine learning – Complete Phd and Masters Thesis

Customer churn prediction in the streaming video industry using viewer engagement data and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction: With the increasing popularity of streaming services in the entertainment industry, customer retention has become a critical issue for streaming video providers. Customer churn, or the rate at which subscribers cancel their subscriptions,…

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Anomaly detection in financial markets using stock market data and unsupervised learning – Complete Phd and Masters Thesis

Anomaly detection in financial markets using stock market data and unsupervised learning – Complete Phd and Masters Thesis

[ad_1] Introduction Anomaly detection in financial markets is a crucial task that helps in identifying irregularities in stock market data and predicting potential market disruptions. With the increasing complexity and volume of financial data generated…

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Predicting patient medication adherence using prescription data and machine learning – Complete Phd and Masters Thesis

Predicting patient medication adherence using prescription data and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction Predicting patient medication adherence is a crucial aspect of healthcare that can significantly impact patient outcomes and healthcare costs. Medication non-adherence is a widespread issue that can lead to poor health outcomes, increased…

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