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Welcome to the Health Informatics Lab, College of Computer Science and Technology, Jilin University.

Health Informatics Lab (HILab) focuses on the data mining algorithms for the biomedical big data. Specifically, we are interested in developing efficient feature selection and prediction algorithms for the high-dimensional biomedical data.

  • Biological OMIC data include transcriptomes, methylomes, proteomes, and genomes, etc.
  • Clinical blood test generates biochemical molecular measurements, and reflects a patient's current health status.
  • Biomedical imaging data, including both the traditional 2D imaging data and high-dimensional imaging data.
  • Physiological data, including ECG and EEG, shows the real-time status of human body. The noise and hidden pattern are the major challenges for computational modeling.

Students from all majors, who are interested in biomedical big data, are welcome to join HILab. The only prerequisite skills are curiosity in data science and interest in learning new knowledges. Please send your CV and latest transcripts (non-official copy will be fine) to the PI (Prof. Fengfeng Zhou).

 

 
 

Recent news in HILab, and you may find all the news in the section News.

  • September 22, 2017: Congratulations to another group of undergraduate students Yuting Ye and Ruochi Zhang in HILab! Their work "RIFS: a randomly restarted incremental feature selection algorithm" was accepted by Scientific Reports.

  • September 22, 2017: Congratulations to a group of undergraduate students Jiamei Liu, Cheng Xu, Weifeng Yang, Yayun Shu in HILab! Their work "Multiple similarly-well solutions exist for biomedical feature selection and classification problems" was accepted by Scientific Reports.

 

 
     
 
© Fengfeng Zhou, Health Informatics Lab, College of Computer Science and Technology, Jilin University.
Last update: September 22, 2017.