Prediction of Medical Disputes Between Health Care Workers and Patients in Terms of Hospital Legal Construction Using Machine Learning Techniques: Externally Validated Cross-Sectional Study

Machine learning-based algorithms to predict severe psychological distress among cancer patients with spinal metastatic disease

(2023) Le Gao et al.   Spine Journal

Analysis of the characteristics and risk factors affecting the judgment results of medical damage liability disputes in 3172 second-instance and retrial cases in China

(2023) Yanfei Shen et al.   Human Resources for Health

Prediction Models for Future High-Need High-Cost Healthcare Use: a Systematic Review

(2022) Ursula W. de Ruijter et al.   JOURNAL OF GENERAL INTERNAL MEDICINE

Prediction of post-stroke urinary tract infection risk in immobile patients using machine learning: an observational cohort study

(2022) C. Zhu et al.   JOURNAL OF HOSPITAL INFECTION

Vocational and psychosocial predictors of medical negligence claims among Australian doctors: a prospective cohort analysis of the MABEL survey

(2022) Owen M Bradfield et al.   BMJ Open

Violence against health workers rises during COVID-19

(2022) Jacqui Thornton   LANCET

Gradient boosting decision tree becomes more reliable than logistic regression in predicting probability for diabetes with big data

(2022) Hiroe Seto et al.   Scientific Reports

Biological signatures and prediction of an immunosuppressive status—persistent critical illness—among orthopedic trauma patients using machine learning techniques

(2022) Mingxing Lei et al.   Frontiers in Immunology

Association between hospital legal constructions and medical disputes: A multi-center analysis of 130 tertiary hospitals in Hunan Province, China

(2022) Min Yi et al.   Frontiers in Public Health

Machine learning approaches for prediction of early death among lung cancer patients with bone metastases using routine clinical characteristics: An analysis of 19,887 patients

(2022) Yunpeng Cui et al.   Frontiers in Public Health

A machine learning-based prediction model for in-hospital mortality among critically ill patients with hip fracture: An internal and external validated study

(2022) Mingxing Lei et al.   INJURY-INTERNATIONAL JOURNAL OF THE CARE OF THE INJURED

Measuring Public Reaction to Violence Against Doctors in China: Interrupted Time Series Analysis of Media Reports

(2021) Qian Yang et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

The Therapeutic Relationship in China: A Systematic Review and Meta-Analysis

(2021) Ying Mao et al.   International Journal of Environmental Research and Public Health

The Association Between Medical Liability Insurance Coverage and Medical Disturbances in Tertiary Psychiatric Hospitals in China: A National Survey

(2021) Jin Luo et al.   Risk Management and Healthcare Policy

Performance Metrics for the Comparative Analysis of Clinical Risk Prediction Models Employing Machine Learning

(2021) Chenxi Huang et al.   Circulation-Cardiovascular Quality and Outcomes

Improving suicide risk prediction via targeted data fusion: proof of concept using medical claims data

(2021) Wanwan Xu et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

The role of mediation in solving medical disputes in China

(2020) Mengxiao Wang et al.   BMC HEALTH SERVICES RESEARCH

How Machine Learning Will Transform Biomedicine

(2020) Jeremy Goecks et al.   CELL

Medical disputes in relation to prenatal ultrasound in China

(2020) P. An et al.   ULTRASOUND IN OBSTETRICS & GYNECOLOGY

Doctors in Chinese public hospitals: demonstration of their professional identities

(2020) Zhanming Liang et al.   BMC Medical Education

Translational Medicine in the Era of Big Data and Machine Learning

(2019) William S. Weintraub et al.   CIRCULATION RESEARCH

Prevention of medical malpractice and disputes through analysis of lawsuits related to coronary angiography and intervention

(2019) Cheol Won Hyeon et al.   KOREAN JOURNAL OF INTERNAL MEDICINE

Prevalence of workplace violence against healthcare workers: a systematic review and meta-analysis

(2019) Jianxin Liu et al.   OCCUPATIONAL AND ENVIRONMENTAL MEDICINE

Prevalence and Risk Factors Associated With Workplace Violence Against General Practitioners in Hubei, China

(2018) Yong Gan et al.   AMERICAN JOURNAL OF PUBLIC HEALTH

Borderline personality symptoms and work performance: a population-based survey

(2018) Trees T. Juurlink et al.   BMC Psychiatry

Disagreement, mediation, arbitration: resolving disputes about medical treatment

(2018) Dominic Wilkinson et al.   LANCET

Health professional-patient communication practices in East Asia: An integrative review of an emerging field of research and practice in Hong Kong, South Korea, Japan, Taiwan, and Mainland China

(2018) Jack K.H. Pun et al.   PATIENT EDUCATION AND COUNSELING

Prediction of Drug-Related Risks Using Clinical Context Information in Longitudinal Claims Data

(2018) Andreas D. Meid et al.   VALUE IN HEALTH

Characteristics of medical disputes arising from dental practice in Guangzhou, China: an observational study

(2018) Zifeng Liu et al.   BMJ Open

eDoctor: machine learning and the future of medicine

(2018) G. S. Handelman et al.   JOURNAL OF INTERNAL MEDICINE

Changing procedures for resolving medical disputes in China

(2018) Fei Yu et al.   INTERNAL MEDICINE JOURNAL

Characterising risk of in-hospital mortality following cardiac arrest using machine learning: A retrospective international registry study

(2018) Shane Nanayakkara et al.   PLOS MEDICINE

Sex differences in medico-legal action against doctors: a systematic review and meta-analysis

(2015) Emily Unwin et al.   BMC Medicine

Machine Learning in Medicine

(2015) R. C. Deo   CIRCULATION

Violence against doctors in China

(2014) Liu Yueju   LANCET

Incidence and Cost of Nurse Workplace Violence Perpetrated by Hospital Patients or Patient Visitors

(2013) Karen Gabel Speroni et al.   Journal of Emergency Nursing

Violence against doctors in China

(2012) T. Hesketh et al.   BMJ-British Medical Journal

Assessing the Performance of Prediction Models

(2009) Ewout W. Steyerberg et al.   EPIDEMIOLOGY