Natural language processing with machine learning methods to analyze unstructured patient-reported outcomes derived from electronic health records: A systematic review
出版年份 2023 全文链接
标题
Natural language processing with machine learning methods to analyze unstructured patient-reported outcomes derived from electronic health records: A systematic review
作者
关键词
-
出版物
Artificial Intelligence in Medicine
Volume -, Issue -, Pages 102701
出版商
Elsevier BV
发表日期
2023-11-02
DOI
10.1016/j.artmed.2023.102701
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- The opportunities and pitfalls of ChatGPT in clinical and translational medicine
- (2023) Christian Baumgartner Clinical and Translational Medicine
- Large language models in medicine
- (2023) Arun James Thirunavukarasu et al. NATURE MEDICINE
- A Survey on Text Classification Algorithms: From Text to Predictions
- (2022) Andrea Gasparetto et al. Information (Switzerland)
- CancerBERT: a cancer domain-specific language model for extracting breast cancer phenotypes from electronic health records
- (2022) Sicheng Zhou et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Natural Language Processing and Machine Learning Methods to Characterize Unstructured Patient-Reported Outcomes: Validation Study
- (2021) Zhaohua Lu et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Sex differences in text-mined possible adverse drug events associated with drugs for psychosis
- (2020) Freja Karuna Hemmingsen Sørup et al. JOURNAL OF PSYCHOPHARMACOLOGY
- Combining deep learning with token selection for patient phenotyping from electronic health records
- (2020) Zhen Yang et al. Scientific Reports
- Temporal information extraction from mental health records to identify duration of untreated psychosis
- (2020) Natalia Viani et al. Journal of Biomedical Semantics
- A Rule-Based Approach to Embedding Techniques for Text Document Classification
- (2020) Asmaa M. Aubaid et al. Applied Sciences-Basel
- EHR2Vec: Representation Learning of Medical Concepts From Temporal Patterns of Clinical Notes Based on Self-Attention Mechanism
- (2020) Li Wang et al. Frontiers in Genetics
- Identifying and Predicting Intentional Self-Harm in Electronic Health Record Clinical Notes: Deep Learning Approach
- (2020) Jihad S Obeid et al. JMIR Medical Informatics
- Artificial Intelligence–Based Traditional Chinese Medicine Assistive Diagnostic System: Validation Study
- (2020) Hong Zhang et al. JMIR Medical Informatics
- Use of the Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) for Processing Free Text in Health Care: Systematic Scoping Review
- (2020) Christophe Gaudet-Blavignac et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Multiscale classification of heart failure phenotypes by unsupervised clustering of unstructured electronic medical record data
- (2020) Tasha Nagamine et al. Scientific Reports
- Clinical Named Entity Recognition from Chinese Electronic Medical Records Based on Deep Learning Pretraining
- (2020) Lejun Gong et al. Journal of Healthcare Engineering
- Detecting Adverse Drug Events with Rapidly Trained Classification Models
- (2019) Alec B. Chapman et al. DRUG SAFETY
- Predicting inadequate postoperative pain management in depressed patients: A machine learning approach
- (2019) Arjun Parthipan et al. PLoS One
- Research Domain Criteria scores estimated through natural language processing are associated with risk for suicide and accidental death
- (2019) Thomas H. McCoy et al. DEPRESSION AND ANXIETY
- A hybrid approach for named entity recognition in Chinese electronic medical record
- (2019) Bin Ji et al. BMC Medical Informatics and Decision Making
- A systematic review of natural language processing and text mining of symptoms from electronic patient-authored text data
- (2019) Caitlin Dreisbach et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- Choosing Among Common Data Models for Real World Data Analyses Fit for Making Decisions about the Effectiveness of Medical Products
- (2019) Sebastian Schneeweiss et al. CLINICAL PHARMACOLOGY & THERAPEUTICS
- Association between child psychiatric emergency room outcomes and dimensions of psychopathology
- (2019) Thomas H. McCoy et al. GENERAL HOSPITAL PSYCHIATRY
- Automated detection of altered mental status in emergency department clinical notes: a deep learning approach
- (2019) Jihad S. Obeid et al. BMC Medical Informatics and Decision Making
- Ontology-based clinical information extraction from physician’s free-text notes
- (2019) Engy Yehia et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Symptom-based patient stratification in mental illness using clinical notes
- (2019) Qi Liu et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Natural language processing of electronic health records is superior to billing codes to identify symptom burden in hemodialysis patients
- (2019) Lili Chan et al. KIDNEY INTERNATIONAL
- Use of Natural Language Processing to identify Obsessive Compulsive Symptoms in patients with schizophrenia, schizoaffective disorder or bipolar disorder
- (2019) David Chandran et al. Scientific Reports
- Natural language processing for disease phenotyping in UK primary care records for research: a pilot study in myocardial infarction and death
- (2019) Anoop D. Shah et al. Journal of Biomedical Semantics
- Stratifying risk for dementia onset using large‐scale electronic health record data: A retrospective cohort study
- (2019) Thomas H. McCoy et al. Alzheimers & Dementia
- Using text mining to extract depressive symptoms and to validate the diagnosis of major depressive disorder from electronic health records
- (2019) Chi-Shin Wu et al. JOURNAL OF AFFECTIVE DISORDERS
- Task definition, annotated dataset, and supervised natural language processing models for symptom extraction from unstructured clinical notes
- (2019) Jackson M. Steinkamp et al. JOURNAL OF BIOMEDICAL INFORMATICS
- High Throughput Phenotyping for Dimensional Psychopathology in Electronic Health Records
- (2018) Thomas H. McCoy et al. BIOLOGICAL PSYCHIATRY
- Machine Learning Methods to Extract Documentation of Breast Cancer Symptoms From Electronic Health Records
- (2018) Alexander W. Forsyth et al. JOURNAL OF PAIN AND SYMPTOM MANAGEMENT
- Negative Symptoms in Early-Onset Psychosis and Their Association With Antipsychotic Treatment Failure
- (2018) Johnny Downs et al. SCHIZOPHRENIA BULLETIN
- Risk prediction using natural language processing of electronic mental health records in an inpatient forensic psychiatry setting
- (2018) Duy Van Le et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances
- (2018) Sumithra Velupillai et al. JOURNAL OF BIOMEDICAL INFORMATICS
- A comparison of rule-based and machine learning approaches for classifying patient portal messages
- (2017) Robert M. Cronin et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- Automatic mining of symptom severity from psychiatric evaluation notes
- (2017) George Karystianis et al. INTERNATIONAL JOURNAL OF METHODS IN PSYCHIATRIC RESEARCH
- Natural language processing systems for capturing and standardizing unstructured clinical information: A systematic review
- (2017) Kory Kreimeyer et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Classifying clinical notes with pain assessment using machine learning
- (2017) Samah Jamal Fodeh et al. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
- Upper gastrointestinal complications following ablation therapy for atrial fibrillation
- (2017) S.-Y. Park et al. NEUROGASTROENTEROLOGY AND MOTILITY
- ADEPt, a semantically-enriched pipeline for extracting adverse drug events from free-text electronic health records
- (2017) Ehtesham Iqbal et al. PLoS One
- Natural language processing to extract symptoms of severe mental illness from clinical text: the Clinical Record Interactive Search Comprehensive Data Extraction (CRIS-CODE) project
- (2017) Richard G Jackson et al. BMJ Open
- Analysis of free text in electronic health records for identification of cancer patient trajectories
- (2017) Kasper Jensen et al. Scientific Reports
- What evidence is there for a delay in diagnostic coding of RA in UK general practice records? An observational study of free text
- (2016) Elizabeth Ford et al. BMJ Open
- Predicting early psychiatric readmission with natural language processing of narrative discharge summaries
- (2016) A Rumshisky et al. Translational Psychiatry
- A Clinical Perspective on the Relevance of Research Domain Criteria in Electronic Health Records
- (2015) Thomas H. McCoy et al. AMERICAN JOURNAL OF PSYCHIATRY
- Mood instability is a common feature of mental health disorders and is associated with poor clinical outcomes
- (2015) R. Patel et al. BMJ Open
- Negative symptoms in schizophrenia: a study in a large clinical sample of patients using a novel automated method
- (2015) Rashmi Patel et al. BMJ Open
- Detecting Unplanned Care From Clinician Notes in Electronic Health Records
- (2015) Suzanne Tamang et al. Journal of Oncology Practice
- Prevalence of Heart Failure Signs and Symptoms in a Large Primary Care Population Identified Through the Use of Text and Data Mining of the Electronic Health Record
- (2014) Rajakrishnan Vijayakrishnan et al. JOURNAL OF CARDIAC FAILURE
- Automatic identification of heart failure diagnostic criteria, using text analysis of clinical notes from electronic health records
- (2013) Roy J. Byrd et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- Supervised methods for symptom name recognition in free-text clinical records of traditional Chinese medicine: An empirical study
- (2013) Yaqiang Wang et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Developing and evaluating an automated appendicitis risk stratification algorithm for pediatric patients in the emergency department
- (2013) Louise Deleger et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Longitudinal analysis of pain in patients with metastatic prostate cancer using natural language processing of medical record text
- (2012) Norris H Heintzelman et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Using electronic medical records to enable large-scale studies in psychiatry: treatment resistant depression as a model
- (2011) R. H. Perlis et al. PSYCHOLOGICAL MEDICINE
- Exploring the Ability of Natural Language Processing to Extract Data From Nursing Narratives
- (2009) SOOKYUNG HYUN et al. CIN-COMPUTERS INFORMATICS NURSING
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now