AIMC Topic: Clinical Coding

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Machine learning and the future of Medicare fraud detection.

Journal of the American Academy of Dermatology Mar 29, 2020
United States Medicare Data Mining Machine Learning Administrative Claims, Healthcare Fraud Financial Audit Datasets as Topic Clinical Coding
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Medi-Care AI: Predicting medications from billing codes via robust recurrent neural networks.

Neural networks : the official journal of the International Neural Network Society Jan 23, 2020
In this paper, we present an effective deep prediction framework based on robust recurrent neural networks (RNNs) to predict the likely therapeutic classes of medications a patient is taking, given a sequence of diagnostic billing codes in their reco...
Clinical Coding Neural Networks, Computer Software Humans
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Incorporating medical code descriptions for diagnosis prediction in healthcare.

BMC medical informatics and decision making Dec 19, 2019
BACKGROUND: Diagnosis aims to predict the future health status of patients according to their historical electronic health records (EHR), which is an important yet challenging task in healthcare informatics. Existing diagnosis prediction approaches m...
Forecasting Prognosis Electronic Health Records Humans Neural Networks, Computer Clinical Coding Medical Informatics Computing Heart Failure Datasets as Topic Deep Learning Models, Statistical
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Leveraging Semantics in WordNet to Facilitate the Computer-Assisted Coding of ICD-11.

IEEE journal of biomedical and health informatics Oct 25, 2019
The International Classification of Diseases (ICD) not only serves as the bedrock for health statistics but also provides a holistic overview of every health aspect of life. This study aims to facilitate the computer-assisted coding of the 11th revis...
Algorithms Natural Language Processing Humans Semantics Clinical Coding Medical Informatics International Classification of Diseases
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Use of Natural Language Processing to identify Obsessive Compulsive Symptoms in patients with schizophrenia, schizoaffective disorder or bipolar disorder.

Scientific reports Oct 2, 2019
Obsessive and Compulsive Symptoms (OCS) or Obsessive Compulsive Disorder (OCD) in the context of schizophrenia or related disorders are of clinical importance as these are associated with a range of adverse outcomes. Natural Language Processing (NLP)...
Clinical Coding Database Management Systems Obsessive-Compulsive Disorder Psychotic Disorders Medical Records Systems, Computerized Male Comorbidity Natural Language Processing Schizophrenia Bipolar Disorder Female Adult Humans
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A two-stage deep learning approach for extracting entities and relationships from medical texts.

Journal of biomedical informatics Sep 20, 2019
This work presents a two-stage deep learning system for Named Entity Recognition (NER) and Relation Extraction (RE) from medical texts. These tasks are a crucial step to many natural language understanding applications in the biomedical domain. Autom...
Humans Electronic Health Records Data Mining Clinical Coding Deep Learning Drug Interactions
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Neural transfer learning for assigning diagnosis codes to EMRs.

Artificial intelligence in medicine Apr 12, 2019
OBJECTIVE: Electronic medical records (EMRs) are manually annotated by healthcare professionals and specialized medical coders with a standardized set of alphanumeric diagnosis and procedure codes, specifically from the International Classification o...
International Classification of Diseases Clinical Coding Neural Networks, Computer Electronic Health Records Humans
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Complexities, variations, and errors of numbering within clinical notes: the potential impact on information extraction and cohort-identification.

BMC medical informatics and decision making Apr 4, 2019
BACKGROUND: Numbers and numerical concepts appear frequently in free text clinical notes from electronic health records. Knowledge of the frequent lexical variations of these numerical concepts, and their accurate identification, is important for man...
Information Storage and Retrieval Clinical Coding Electronic Health Records Natural Language Processing
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Clinical text classification with rule-based features and knowledge-guided convolutional neural networks.

BMC medical informatics and decision making Apr 4, 2019
BACKGROUND: Clinical text classification is an fundamental problem in medical natural language processing. Existing studies have cocnventionally focused on rules or knowledge sources-based feature engineering, but only a limited number of studies hav...
Knowledge Bases Unified Medical Language System Clinical Coding Obesity Natural Language Processing Neural Networks, Computer Deep Learning Humans
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EHR phenotyping via jointly embedding medical concepts and words into a unified vector space.

BMC medical informatics and decision making Dec 12, 2018
BACKGROUND: There has been an increasing interest in learning low-dimensional vector representations of medical concepts from Electronic Health Records (EHRs). Vector representations of medical concepts facilitate exploratory analysis and predictive ...
Natural Language Processing Terminology as Topic Clinical Coding Vocabulary Humans Phenotype Machine Learning Electronic Health Records
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