Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Feature engineering remains a major bottleneck when creating predictive systems from electronic medi...
A girl aged six months was hospitalized because of resistant seizures and was discharged with phenob...
BACKGROUND: Multidisciplinary team (MDT) meetings are used to optimise expert decision-making about ...
BACKGROUND: Ileostomy creation is associated with postoperative dehydration and readmission; however...
INTRODUCTION: Controversies remain on whether post-stroke complications represent an independent pre...
BACKGROUND: Outcome prediction is important in the clinical decision-making process. Artificial neur...
OBJECTIVE: The continuous uninterrupted feedback system is the essential part of any well-organized ...
Background There are limited data regarding the risks of cardiac surgery early after coronary angiog...
Clinical narrative text includes information related to a patient's medical history such as chronolo...
BACKGROUND: Although risk adjustment remains a cornerstone for comparing outcomes across hospitals, ...
Minimally invasive surgery has gained increasing acceptance over the last few years, which has expan...
The ability to predict psychiatric readmission would facilitate the development of interventions to ...
OBJECTIVE: Text and data mining play an important role in obtaining insights from Health and Hospita...
Muscle spindle discharge during active movement is a function of mechanical and neural parameters. M...
Natural language processing (NLP) and machine learning were used to predict suicidal ideation and he...
UNLABELLED: Heart failure and preserved ejection fraction (HFpEF) is defined as heart failure sympto...
OBJECTIVE: A hospital readmission is defined as an admission to a hospital within a certain time fra...
BACKGROUND: The advantages of laparoscopic liver resection become more obvious as evidence on its lo...
The ubiquitous is an important and troublesome pathogen of nosocomial infection. Multidrug-resistan...
Electronic Health Record (EHR) use in India is generally poor, and structured clinical information i...
The energy landscapes framework is applied to a configuration space generated by training the parame...