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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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Social network analysis for talent acquisition and employee referral programs – Complete Phd and Masters Thesis

Social network analysis for talent acquisition and employee referral programs – Complete Phd and Masters Thesis

[ad_1] Introduction In today’s competitive job market, organizations are constantly looking for innovative ways to attract and retain top talent. Traditional methods of talent acquisition, such as job postings and recruitment agencies, are no longer…

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Traffic flow prediction for smart city planning using deep learning and IoT sensor data – Complete Phd and Masters Thesis

Traffic flow prediction for smart city planning using deep learning and IoT sensor data – Complete Phd and Masters Thesis

[ad_1] Introduction Traffic congestion is a major issue faced by metropolitan cities around the world, leading to wasted time, increased carbon emissions, and decreased productivity. Smart city planning aims to utilize technology to optimize urban…

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Sentiment analysis of customer feedback for service quality improvement using text mining and natural language processing – Complete Phd and Masters Thesis

Sentiment analysis of customer feedback for service quality improvement using text mining and natural language processing – Complete Phd and Masters Thesis

[ad_1] Introduction Customer feedback is an invaluable source of information for businesses seeking to improve their service quality. As the digital age continues to evolve, the volume of customer feedback available online has increased significantly.…

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Image classification for agricultural yield prediction using deep learning and drone imagery – Complete Phd and Masters Thesis

Image classification for agricultural yield prediction using deep learning and drone imagery – Complete Phd and Masters Thesis

[ad_1] Introduction Agriculture plays a crucial role in sustaining global food security and economic development. To ensure optimal crop yields and efficient resource management, accurate prediction of agricultural yields is essential. Traditional methods of yield…

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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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Traffic accident severity prediction using deep learning and weather data – Complete Phd and Masters Thesis

Traffic accident severity prediction using deep learning and weather data – Complete Phd and Masters Thesis

[ad_1] Introduction Traffic accidents are a major cause of injuries and fatalities worldwide, leading to significant social and economic impacts. Predicting accident severity can help in implementing preventive measures, improving emergency response, and reducing the…

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Predicting customer engagement for mobile gaming apps using user behavior data and machine learning – Complete Phd and Masters Thesis

Predicting customer engagement for mobile gaming apps using user behavior data and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction The popularity of mobile gaming apps has been increasing exponentially over the past decade, with millions of users engaging with these apps on a daily basis. As the competition in the mobile gaming…

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Sentiment analysis of investor sentiment using financial news and social media data – Complete Phd and Masters Thesis

Sentiment analysis of investor sentiment using financial news and social media data – Complete Phd and Masters Thesis

[ad_1] Introduction: Sentiment analysis has gained significant attention in the field of finance in recent years, with researchers and practitioners leveraging large amounts of textual data from sources such as financial news and social media…

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