| A machine learning model to predict the risk of 30-day readmissions in patients with heart failure: a retrospective analysis of electronic medical records data |
27 |
| Improving palliative care with deep learning |
27 |
| A bibliometric analysis of natural language processing in medical research |
20 |
| Ultra-short term HRV features as surrogates of short term HRV: a case study on mental stress detection in real life |
19 |
| Identification of research hypotheses and new knowledge from scientific literature |
19 |
| Developing a tablet computer-based application ('App') to measure self-reported alcohol consumption in Indigenous Australians |
18 |
| Effective behavioral intervention strategies using mobile health applications for chronic disease management: a systematic review |
16 |
| Big data hurdles in precision medicine and precision public health |
16 |
| Clinical text classification with rule-based features and knowledge-guided convolutional neural networks |
14 |
| Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning |
13 |
| Predicting factors for survival of breast cancer patients using machine learning techniques |
13 |
| Multicriteria decision analysis (MCDA) in health care: a systematic review of the main characteristics and methodological steps |
12 |
| On the interpretability of machine learning-based model for predicting hypertension |
12 |
| Comparing different supervised machine learning algorithms for disease prediction |
12 |
| Identifying clinically important COPD sub-types using data-driven approaches in primary care population based electronic health records |
12 |
| Discovering thematic change and evolution of utilizing social media for healthcare research |
11 |
| Comparison of MetaMap and cTAKES for entity extraction in clinical notes |
11 |
| Early prediction of acute kidney injury following ICU admission using a multivariate panel of physiological measurements |
11 |
| Extracting psychiatric stressors for suicide from social media using deep learning |
10 |
| A hybrid neural network model for predicting kidney disease in hypertension patients based on electronic health records |
10 |
| Automatic seizure detection using three-dimensional CNN based on multi-channel EEG |
9 |
| Predicting patient-reported outcomes following hip and knee replacement surgery using supervised machine learning |
9 |
| Neuropsychological predictors of conversion from mild cognitive impairment to Alzheimer's disease: a feature selection ensemble combining stability and predictability |
9 |
| Primary care physicians' attitudes to the adoption of electronic medical records: a systematic review and evidence synthesis using the clinical adoption framework |
9 |
| Towards improving diagnosis of skin diseases by combining deep neural network and human knowledge |
9 |
| CogStack - experiences of deploying integrated information retrieval and extraction services in a large National Health Service Foundation Trust hospital |
8 |
| Combining EEG signal processing with supervised methods for Alzheimer's patients classification |
8 |
| Integrating shortest dependency path and sentence sequence into a deep learning framework for relation extraction in clinical text |
8 |
| Assessing factors militating against the acceptance and successful implementation of a cloud based health center from the healthcare professionals' perspective: a survey of hospitals in Benue state, northcentral Nigeria |
8 |
| An ontology-guided semantic data integration framework to support integrative data analysis of cancer survival |
8 |
| Merits, features, and desiderata to be considered when developing electronic health records with embedded clinical decision support systems in Palestinian hospitals: a consensus study |
8 |
| A pre-post study testing a lung cancer screening decision aid in primary care |
8 |
| Utility of social media and crowd-intelligence data for pharmacovigilance: a scoping review |
8 |
| The effect of computerized decision support systems on cardiovascular risk factors: a systematic review and meta-analysis |
8 |
| A clinical text classification paradigm using weak supervision and deep representation |
7 |
| Predicting 7-day, 30-day and 60-day all-cause unplanned readmission: a case study of a Sydney hospital |
7 |
| Decision makers' experience of participatory dynamic simulation modelling: methods for public health policy |
7 |
| A hybrid approach for named entity recognition in Chinese electronic medical record |
7 |
| A data-driven approach to predicting diabetes and cardiovascular disease with machine learning |
7 |
| Breast cancer histopathology image classification through assembling multiple compact CNNs |
7 |
| Mobile applications for pain management: an app analysis for clinical usage |
7 |
| Using the distance between sets of hierarchical taxonomic clinical concepts to measure patient similarity |
7 |
| Experienced time pressure and stress: electronic health records usability and information technology competence play a role |
7 |
| Using artificial intelligence to reduce diagnostic workload without compromising detection of urinary tract infections |
7 |
| The QUEST for quality online health information: validation of a short quantitative tool |
7 |
| The state of research on cyberattacks against hospitals and available best practice recommendations: a scoping review |
7 |
| Patient portal adoption and use by hospitalized cancer patients: a retrospective study of its impact on adverse events, utilization, and patient satisfaction |
7 |
| Detection of probable dementia cases in undiagnosed patients using structured and unstructured electronic health records |
7 |
| Analyzing hidden populations online: topic, emotion, and social network of HIV-related users in the largest Chinese online community |
6 |
| On the effect of electronic patient portal on primary care utilization and appointment adherence |
6 |
