Linking clinotypes to phenotypes and genotypes from laboratory test results in comprehensive physical exams.

Background: In this work, we aimed to demonstrate how to utilize the lab test results and other clinical information to support precision medicine research and clinical decisions on complex diseases, with the support of electronic medical record facilities. We defined "clinotypes" as clinical information that could be observed and measured objectively using biomedical instruments. From well-known 'omic' problem definitions, we defined problems using clinotype information, including stratifying patients-identifying interested sub cohorts for future studies, mining significant associations between clinotypes and specific phenotypes-diseases, and discovering potential linkages between clinotype and genomic information.

The impact of respiratory motion and CT pitch on the robustness of radiomics feature extraction in 4DCT lung imaging.

Purpose/objective(s): The precise radiomics analysis on thoracic 4DCT data is easily compromised by the respiratory motion and CT scan parameter setting, thus leading to the risk of overfitting and/or misinterpretation of data in AI-enabled therapeutic model building. In this study, we investigated the impact of respiratory amplitudes, frequencies and CT scan pitch settings within the thoracic 4DCT scan on robust radiomics feature selection.

Materials/methods: A Three-dimensional QUSAR lung tumor phantom was used to simulate different respiratory amplitudes and frequencies along with different CT scan pitch settings.

Diabetes classification model based on boosting algorithms.

Background: Diabetes mellitus is a common and complicated chronic lifelong disease. Hence, it is of high clinical significance to find the most relevant clinical indexes and to perform efficient computer-aided pre-diagnoses and diagnoses.

Results: Non-parametric statistical testing is performed on hundreds of medical measurement index results between diabetic and non-diabetic populations.

Hospital-Based Study of the Frequency and Risk Factors of Stroke Recurrence in Two Years in China.

Background: Stroke causes death and disability throughout the world and recurrent stroke events are more likely to be disabling or fatal. We conducted a hospital-based study to investigate the frequency and influence factors of stroke recurrence in China.

Methods: Data from patients hospitalized with stroke between January 2007 and December 2010 of 109 tertiary hospitals in China were used.