AIMC Topic: Patient Participation
Clear Filters Showing 21 to 30 of 47 articles
Digital health technologies: opportunities and challenges in rheumatology.
Nature reviews. Rheumatology
Jul 24, 2020
The past decade in rheumatology has seen tremendous innovation in digital health technologies, including the electronic health record, virtual visits, mobile health, wearable technology, digital therapeutics, artificial intelligence and machine learn...
A Machine Learning Approach to Understanding Patterns of Engagement With Internet-Delivered Mental Health Interventions.
JAMA network open
Jul 1, 2020
IMPORTANCE: The mechanisms by which engagement with internet-delivered psychological interventions are associated with depression and anxiety symptoms are unclear.
Intelligent, Autonomous Machines in Surgery.
The Journal of surgical research
Apr 24, 2020
Surgeons perform two primary tasks: operating and engaging patients and caregivers in shared decision-making. Human dexterity and decision-making are biologically limited. Intelligent, autonomous machines have the potential to augment or replace surg...
'AI gone mental': engagement and ethics in data-driven technology for mental health.
Journal of mental health (Abingdon, England)
Jan 30, 2020
Patient-based prediction algorithm of relapse after allo-HSCT for acute Leukemia and its usefulness in the decision-making process using a machine learning approach.
Cancer medicine
Jul 15, 2019
Although allogeneic hematopoietic stem cell transplantation (allo-HSCT) is a curative therapy for high-risk acute leukemia (AL), some patients still relapse. Since patients simultaneously have many prognostic factors, difficulties are associated with...
Patient Participation
Survival Analysis
Disease Management
Hematopoietic Stem Cell Transplantation
Transplantation, Homologous
Models, Theoretical
Treatment Outcome
Decision Trees
Prognosis
Clinical Decision-Making
Female
Young Adult
Humans
Adult
Machine Learning
Leukemia, Myeloid, Acute
Algorithms
Male
Middle Aged
The Application of Deep Learning in the Risk Grading of Skin Tumors for Patients Using Clinical Images.
Journal of medical systems
Jul 13, 2019
According to diagnostic criteria, skin tumors can be divided into three categories: benign, low degree and high degree malignancy. For high degree malignant skin tumors, if not detected in time, they can do serious harm to patients' health. However, ...
A two-site survey of medical center personnel's willingness to share clinical data for research: implications for reproducible health NLP research.
BMC medical informatics and decision making
Apr 4, 2019
BACKGROUND: A shareable repository of clinical notes is critical for advancing natural language processing (NLP) research, and therefore a goal of many NLP researchers is to create a shareable repository of clinical notes, that has breadth (from mult...
Parsing clinical text using the state-of-the-art deep learning based parsers: a systematic comparison.
BMC medical informatics and decision making
Apr 4, 2019
BACKGROUND: A shareable repository of clinical notes is critical for advancing natural language processing (NLP) research, and therefore a goal of many NLP researchers is to create a shareable repository of clinical notes, that has breadth (from mult...
A systematic review of natural language processing and text mining of symptoms from electronic patient-authored text data.
International journal of medical informatics
Feb 20, 2019
OBJECTIVE: In this systematic review, we aim to synthesize the literature on the use of natural language processing (NLP) and text mining as they apply to symptom extraction and processing in electronic patient-authored text (ePAT).
Shared Decision-Making Ontology for a Healthcare Team Executing a Workflow, an Instantiation for Metastatic Spinal Cord Compression Management.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Dec 5, 2018
Regardless of potential benefits and better outcomes, adoption of shared decision-making between a patient and providers involved in his/her care is still in its infancy. This paper intends to fill this gap by formalizing shared decision-making, situ...
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 30978
- Neural Networks, Computer 29696
- Algorithms 26813
- Deep Learning 26324
- Artificial Intelligence 24267
- Robotics 13307
- Image Processing, Computer-Assisted 9512
- Retrospective Studies 9097
- Magnetic Resonance Imaging 6173
- Reproducibility of Results 5589
- Tomography, X-Ray Computed 4765
- Support Vector Machine 4678
- Computational Biology 4229
- Brain 4045
- Computer Simulation 3877
Recent Journals
- Scientific reports 5865
- Sensors (Basel, Switzerland) 4794
- PloS one 4011
- Neural networks : the official journal of the International Neural Network Society 2928
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1839
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1129
- Journal of chemical information and modeling 994
- Nature communications 938
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 861
- Briefings in bioinformatics 850
- IEEE transactions on neural networks and learning systems 823