Predicting preeclampsia in early pregnancy using clinical and laboratory data via machine learning model.

Journal: BMC medical informatics and decision making
PMID:

Abstract

BACKGROUND: This study was performed to characterize the relationship of various laboratory test indicators with clinical information and Preeclampsia (PE) development. Then, prediction models for early-onset preeclampsia (EOPE), late-onset preeclampsia (LOPE), and preterm preeclampsia (Preterm PE) were developed using maternal characteristics and laboratory data.

Authors

  • Songchang Chen
    Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, 200011, China.
  • Jia Li
    Zhongshan Institute for Drug Discovery, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Zhongshan Tsuihang New District, Guangdong, 528400, PR China; School of Pharmacy, Zunyi Medical University, Zunyi, 563000, PR China; National Center for Drug Screening, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, PR China.
  • Xiao Zhang
    Merck & Co., Inc., Rahway, NJ, USA.
  • Wenqiu Xu
    Hebei Industrial Technology Research Institute of Genomics in Maternal & Child Health, Clin Lab, BGI Genomics, Shijiazhuang, Hebei Province, 050011, China.
  • Zhixu Qiu
    State Key Laboratory of Crop Stress Biology for Arid Areas, Center of Bioinformatics, College of Life Sciences, Northwest A&F University, Yangling, 712100, Shaanxi, China.
  • Siyao Yan
    Hebei Medical University, Shijiazhuang, Hebei Province, 050011, China.
  • Wenrui Zhao
  • Zhiguang Zhao
    Department of Elderly Health Management, Shenzhen Center for Chronic Disease Control, No.2021, Buxin Road, Shenzhen, Guangdong, 518020, China. 1498384005@qq.com.
  • Peirun Tian
    BGI Genomics, Shenzhen, Guangdong Province, 518083, China.
  • Qiang Zhao
    Key Laboratory for Organic Electronics and Information Displays (KLOEID) & Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts and Telecommunications, 9 Wenyuan Road, Nanjing 210023, China.
  • Qun Zhang
    School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 201100, China.
  • Weiping Chen
    Department of Obstetrics and Gynecology, Jiangmen Central Hospital, Jiangmen, Guangdong Province, 529030, China.
  • Huahua Li
    Department of Geriatric, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, China.
  • Xiaohong Ruan
    Department of Obstetrics and Gynecology, Jiangmen Central Hospital, Jiangmen, Guangdong Province, 529030, China.
  • Gefei Xiao
    Department of Medical Genetics and Prenatal Diagnosis, Zhuhai Center for Maternal and Child Health Care, Zhuhai, Guangdong Province, 519000, China.
  • Sufen Zhang
    Department of Medical Genetics and Prenatal Diagnosis, Zhuhai Center for Maternal and Child Health Care, Zhuhai, Guangdong Province, 519000, China.
  • Liqing Hu
    Department of Medical Genetics and Prenatal Diagnosis, Zhuhai Center for Maternal and Child Health Care, Zhuhai, Guangdong Province, 519000, China.
  • Jie Qin
    The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, People's Republic of China.
  • Wuyan Huang
    Department of Medical Genetics and Prenatal Diagnosis, Zhuhai Center for Maternal and Child Health Care, Zhuhai, Guangdong Province, 519000, China.
  • Zhongzhe Li
    Department of Prevention and Health Care, Zhuhai Center for Maternal and Child Health Care, Zhuhai, Guangdong Province, 519000, China.
  • Shunyao Wang
    BGI Genomics, Shenzhen, 518083, China.
  • Rui Zhang
    Department of Cardiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, China.
  • Shang Huang
  • Xin Wang
    Key Laboratory of Bio-based Material Science & Technology (Northeast Forestry University), Ministry of Education, Harbin 150040, China.
  • Yao Yao
    Key Laboratory for Organic Electronics and Information Displays (KLOEID) & Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts and Telecommunications, 9 Wenyuan Road, Nanjing 210023, China.
  • Jian Ran
    The Genetics Laboratory, Longgang District Maternity and Child Healthcare Hospital of Shenzhen City (Longgang Maternity and Child Institute of Shantou University Medical College), Shenzhen, Longgang District, Guangdong Province, 518712, China.
  • Danling Cheng
    The Genetics Laboratory, Longgang District Maternity and Child Healthcare Hospital of Shenzhen City (Longgang Maternity and Child Institute of Shantou University Medical College), Shenzhen, Longgang District, Guangdong Province, 518712, China.
  • Qi Luo
    B-DAT & CICAEET, School of Information and Control, Nanjing University of Information Science and Technology, Nanjing 210044, PR China.
  • Teng Pan
    Longgang District Maternity & Child Healthcare Hospital of Shenzhen City, Longgang Maternity and Child Institute of Shantou University Medical College, Shenzhen, 518172, China.
  • Ruyun Gao
    School of Public Health, Hebei Medical University, Hebei Province Key Laboratory of Environment and Human Health, Shijiazhuang, Hebei Province, 050017, China.
  • Jing Zheng
    Shandong Institute for Food and Drug Control, Jinan 250101, China.
  • Yuxuan Wang
    Department of Maxillofacial and Otorhinolaryngology Oncology, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
  • Cong Liu
    Department of Bioengineering, University of Illinois at Chicago, 851 S Morgan St, Chicago, IL, 60607, USA.
  • Xianling Cao
    Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, 200011, China.
  • Xuanyou Zhou
    Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, 200011, China.
  • Naixin Xu
    Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, 200011, China.
  • Lanlan Zhang
    School of Computer Science and Artificial Intelligence, Changzhou University, China.
  • Xu Han
  • Haolin Wang
    College of Medical Informatics, Chongqing Medical University, Chongqing 400016, People's Republic of China.
  • Suihua Feng
    Department of Obstetrics and Gynecology, Jiangmen Central Hospital, Jiangmen, Guangdong Province, 529030, China. 13702285687@139.com.
  • Shuyuan Li
    Beijing Key Laboratory for Green Catalysis and Separation, The Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, P. R. China.
  • Jianguo Zhang
    College of Automation, Harbin Engineering University, No. 145, Nantong street, Harbin, China.
  • Lijian Zhao
    BGI Genomics, BGI-Shenzhen, Shenzhen 518083, P. R. China.
  • Fengxiang Wei
    The Genetics Laboratory, Longgang District Maternity and Child Healthcare Hospital of Shenzhen City (Longgang Maternity and Child Institute of Shantou University Medical College), Shenzhen, Longgang District, Guangdong Province, 518712, China. haowei727499@163.com.