AIMC Topic: Patient Participation

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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...
Hematopoietic Stem Cell Transplantation Transplantation, Homologous Patient Participation Treatment Outcome Decision Trees Survival Analysis Disease Management Prognosis Clinical Decision-Making Female Young Adult Male Middle Aged Models, Theoretical Adult Leukemia, Myeloid, Acute Humans Machine Learning Algorithms
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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, ...
Humans Deep Learning Area Under Curve Melanoma, Cutaneous Malignant Patient Participation Cell Phone Neural Networks, Computer Databases, Factual Melanoma Skin Neoplasms
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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...
Information Dissemination Academic Medical Centers New York Patient Participation Adolescent Natural Language Processing Confidentiality Informed Consent Humans Health Personnel Female Young Adult Male Middle Aged Surveys and Questionnaires Adult Biomedical Research
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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...
Male Deep Learning Surveys and Questionnaires Natural Language Processing Confidentiality Humans Female Adult Biomedical Research Patient Participation Data Anonymization Information Dissemination Databases as Topic New York
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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).
Natural Language Processing Data Mining Patient Participation National Institutes of Health (U.S.) Humans Electronic Health Records United States
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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...
Decision Support Systems, Clinical Workflow Biological Ontologies Spinal Neoplasms Patient Care Team Humans Patient Participation Female Decision Making, Shared Male Spinal Cord Compression
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Personalized conciliation of clinical guidelines for comorbid patients through multi-agent planning.

Artificial intelligence in medicine Nov 23, 2018
The conciliation of multiple single-disease guidelines for comorbid patients entails solving potential clinical interactions, discovering synergies in the diagnosis and the recommendations, and managing clinical equipoise situations. Personalized con...
Decision Making, Computer-Assisted Humans Artificial Intelligence Comorbidity Patient Participation Patient Preference Patient Care Planning Decision Support Systems, Clinical Practice Guidelines as Topic
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Machine learning to support social media empowered patients in cancer care and cancer treatment decisions.

PloS one Oct 18, 2018
BACKGROUND: A primary variant of social media, online support groups (OSG) extend beyond the standard definition to incorporate a dimension of advice, support and guidance for patients. OSG are complementary, yet significant adjunct to patient journe...
Internet Information Dissemination Patient Participation Self-Help Groups Community Networks Humans Aged Emotions Male Machine Learning Decision Making Aged, 80 and over Middle Aged Adult Social Media Quality of Life Prostatic Neoplasms Social Support
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Label-indicator morpheme growth on LSTM for Chinese healthcare question department classification.

Journal of biomedical informatics Apr 27, 2018
BACKGROUND: Current Chinese medicine has an urgent demand for convenient medical services. When facing a large number of patients, understanding patients' questions automatically and precisely is useful. Different from the high professional medical t...
Neural Networks, Computer Delivery of Health Care Databases, Factual Humans Patient Participation Natural Language Processing Physician-Patient Relations Reproducibility of Results Workflow Medical Informatics Communication Deep Learning China
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From passive passenger to participating co-pilot - Pregnant women's expectations of being able to access their online journal from antenatal care.

Sexual & reproductive healthcare : official journal of the Swedish Association of Midwives Nov 28, 2017
OBJECTIVE: The aim of the study was to describe pregnant women's expectations of being able to access their electronic health records from antenatal care.
Power, Psychological Diagnostic Self Evaluation Prenatal Care Surveys and Questionnaires Pregnant People Maternal Health Health Knowledge, Attitudes, Practice Sweden Humans Internet Young Adult Access to Information Electronic Health Records Adult Patient Participation Pregnancy Female
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