Predicting life expectancy with a long short-term memory recurrent neural network using electronic medical records

Predicting healthcare trajectories from medical records: A deep learning approach

(2017) Trang Pham et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Automatic construction of a large-scale and accurate drug-side-effect association knowledge base from biomedical literature

(2014) Rong Xu et al.   JOURNAL OF BIOMEDICAL INFORMATICS

The effects of advance care planning on end-of-life care: A systematic review

(2014) Arianne Brinkman-Stoppelenburg et al.   PALLIATIVE MEDICINE

Strategic Targeting of Advance Care Planning Interventions

(2014) J. Andrew Billings et al.   JAMA Internal Medicine

How do GPs identify a need for palliative care in their patients? An interview study

(2013) Susanne JJ Claessen et al.   BMC Family Practice

Mining clinical text for signals of adverse drug-drug interactions

(2013) Srinivasan V Iyer et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

What tools are available to identify patients with palliative care needs in primary care: a systematic literature review and survey of European practice

(2013) Elke Arnoldina Theodora Maas et al.   BMJ Supportive & Palliative Care

Early identification of palliative care patients in general practice: development of RADboud indicators for PAlliative Care Needs (RADPAC)

(2012) Bregje Thoonsen et al.   BRITISH JOURNAL OF GENERAL PRACTICE

Using large clinical data sets to infer pathogenicity for rare copy number variants in autism cohorts

(2012) D Moreno-De-Luca et al.   MOLECULAR PSYCHIATRY

Mining electronic health records: towards better research applications and clinical care

(2012) Peter B. Jensen et al.   NATURE REVIEWS GENETICS

Clinical prediction of survival by surgeons for patients with incurable abdominal malignancy

(2011) T. Hølmebakk et al.   EJSO

Prognostic Significance of the “Surprise” Question in Cancer Patients

(2010) Alvin H. Moss et al.   JOURNAL OF PALLIATIVE MEDICINE

The Importance of Identifying and Validating Prognostic Factors in Oncology

(2010) Susan Halabi et al.   SEMINARS IN ONCOLOGY

Utility of the "Surprise" Question to Identify Dialysis Patients with High Mortality

(2008) A. H. Moss et al.   Clinical Journal of the American Society of Nephrology

Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance

(2007) Maciej A. Mazurowski et al.   NEURAL NETWORKS