Kewei Tan

Title: Kewei Tan: Innovator in Disease Prediction Technology

Introduction

Kewei Tan is a prominent inventor based in Guangdong, China. He has made significant contributions to the field of medical technology, particularly in disease prediction methods. His innovative approach utilizes advanced machine learning techniques to enhance the accuracy of medical predictions.

Latest Patents

Kewei Tan holds a patent for a "Long short-term memory model-based disease prediction method and apparatus, and computer device." This invention involves a long short-term memory (LSTM) model that processes medical data to predict diseases. The method includes obtaining first medical data from a target object and second medical data from an associated object. The data is input into an LSTM network to generate a hidden state vector sequence, which is then used to predict diseases with a higher incidence rate than a preset threshold. This innovative approach aims to improve prediction accuracy by identifying associated diseases based on a preset disease association network.

Career Highlights

Kewei Tan is currently employed at Ping An Technology (Shenzhen) Co., Ltd. His work focuses on integrating technology with healthcare to develop solutions that can significantly impact patient outcomes. His expertise in machine learning and medical data analysis has positioned him as a key player in the field.

Collaborations

Kewei Tan collaborates with talented professionals in his field, including Wenxiao Jia and Xiang Li. Their combined efforts contribute to the advancement of technology in disease prediction and healthcare solutions.

Conclusion

Kewei Tan's innovative work in disease prediction technology exemplifies the potential of machine learning in healthcare. His contributions are paving the way for more accurate and efficient medical predictions, ultimately benefiting patient care.