AlJame, Maryam Ahmad, Imtiaz Imtiaz, Ayyub Mohammed, Ameer
Published in
Informatics in Medicine Unlocked
• State-of-the-art review on emerging machine learning techniques for diagnosing COVID-19 from routine laboratory and clinical data. • Proposed an ensemble learning model for initial screening of COVID-19 patients from routine blood tests. • Achieved high accuracy of 99.88% in distinguishing COVID-19 positive cases from normal ones. • ERLX model pr...
Li, Wei Tse Ma, Jiayan Shende, Neil Castaneda, Grant Chakladar, Jaideep Tsai, Joseph C. Apostol, Lauren Honda, Christine O. Xu, Jingyue Wong, Lindsay M.
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Published in
BMC Medical Informatics and Decision Making
BackgroundThe recent Coronavirus Disease 2019 (COVID-19) pandemic has placed severe stress on healthcare systems worldwide, which is amplified by the critical shortage of COVID-19 tests.MethodsIn this study, we propose to generate a more accurate diagnosis model of COVID-19 based on patient symptoms and routine test results by applying machine lear...
Wen, Di-Guang Zhao, Xiao-Ping You, Yu Liu, Zuo-Jin
Published in
Cancer immunology, immunotherapy : CII
The immune microenvironment plays a vital role in the progression of hepatocellular carcinoma (HCC). Thousands of immune-related genes (IRGs) have been identified, but their effects on HCC are not fully understood. In this study, we identified the differentially expressed IRGs and analyzed their functions in HCC in a systematic way. Furthermore, we...
Luo, Ying Xue, Ying Lin, Qun Tang, Guoxing Yuan, Xu Mao, Liyan Song, Huijuan Wang, Feng Sun, Ziyong
Published in
International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases
Discriminating active tuberculosis (ATB) from latent tuberculosis infection (LTBI) remains challenging. This study aimed to investigate a diagnostic model based on a combination of iron metabolism and the TB-specific antigen/phytohemagglutinin ratio (TBAg/PHA ratio) in T-SPOT.TB assay for differentiation between ATB and LTBI. A total of 345 partici...
Joshi, Piyush Jallo, George Perera, Ranjan J
Published in
Neurobiology of disease
Medulloblastoma is the most common malignant pediatric brain tumor with high fatality rate. Recent large-scale studies utilizing genome-wide technologies have sub-grouped medulloblastomas into four major subgroups: wingless (WNT), sonic hedgehog (SHH), group 3, and group 4. However, there has yet to be a global analysis of long non-coding RNAs, a c...
Luo, Ying Tang, Guoxing Lin, Qun Mao, Liyan Xue, Ying Yuan, Xu Ouyang, Renren Wu, Shiji Yu, Jing Zhou, Yu
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Published in
The Journal of infection
Distinguishing between active tuberculosis (ATB) and latent tuberculosis infection (LTBI) remains challenging. The modified T-SPOT.TB assay was performed in 499 participants (243 ATB and 256 LTBI) and another 322 participants (162 ATB and 160 LTBI) who were diagnosed in Qiaokou (training) and Caidian (validation) cohort respectively. The mean spot ...
Li, Chao Shi, Yimin Gao, Ping Shen, Yang Ma, Chenchen Shi, Dawei
Published in
Open Physics
In this study the low visibility in Nanjing city is classified and predicted using observed data during 2014 to 2016 with machine-learning based decision tree algorithm (4.5). For this purpose, the model was trained with 3/4th of the data samples until the self-learning accuracy of the model reached 88.32%. The remaining 1/4th of the data samples w...
Almås, Bjarte Øverby, Stein Halvorsen, Ole J Reisæter, Lars A R Assmus, Jørg Carlsen, Birgitte Loe, Anders Beisland, Christian
Published in
World journal of urology
Selecting patients for intensified treatment for upper tract urothelial carcinoma can be challenging, partly due to the lack of accurate preoperative staging tools. Several preoperative staging models for upper tract urothelial carcinoma have been presented, but none have been externally validated. The aim of the current study was to perform an ext...
Yang, Zhiguang Liu, Zhaoyu
Published in
Saudi journal of biological sciences
In order to assess the efficacy of 18F-FDG PET/CT-based diagnostic model in diagnosing colorectal cancer (CRC) lymph node metastasis (LNM), the 18F-FDG PET/CT medical records of CRC patients were acquired, and the CRC regional LNM diagnostic model was constructed through the combination of image and grain factors of 18F-FDG PET/CT. The specific ana...
Zhang, Pengzi Feng, Wenghuan Chu, Xuehui Sun, Xitai Zhu, Dalong Bi, Yan
Published in
BMC Gastroenterology
BackgroundsTo investigate the value of prolactin (PRL) in diagnosing non-alcoholic fatty liver disease (NAFLD).MethodsMetabolic parameters and serum PRL levels were measured in 452 males and 421 females, who were randomized to the estimation or the validation group as a 1:1 ratio. Hepatic steatosis was diagnosed via abdominal ultrasound. Variables ...