AIMC Journal:
Studies in health technology and informatics

Showing 981 to 990 of 1278 articles

Development of Asian Non-Small Cell Lung Cancer Survival Prediction Model Using an Innovative Method of Bayesian Network.

Studies in health technology and informatics Jan 1, 2017
We constructed a novel prognostic model using an innovative method of Bayesian Network (BN) to predict Non-Small Cell Lung Cancer survival status within 5 years after operation in the Asian population. The proposed BN model could present the relation...
Lung Neoplasms Algorithms Humans Carcinoma, Non-Small-Cell Lung Prognosis Bayes Theorem Asian People
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Identifying Chemical-Disease Relationship in Biomedical Text Using a Multiple Kernel Learning-Boosting Method.

Studies in health technology and informatics Jan 1, 2017
Chemical-induced disease relations (CID) are crucial in various biomedical tasks. In the CID task of Biocreative V, no classifiers with multiple kernels have been developed. In this study, a multiple kernel learning-boosting (MKLB) method is proposed...
Machine Learning Algorithms Humans Artificial Intelligence Data Mining Disease
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Bringing Knowledge to Users in One Click: Infobuttons in the Problem List of an EHR.

Studies in health technology and informatics Jan 1, 2017
The infobuttons allows the solving of information needs. In our study, the use of Infobuttons is described, analyzing the number of queries to UpToDate® from the problem list of an Electronic Health Record. There were 26419 requests in 8 months. The ...
Knowledge Bases Information Storage and Retrieval Electronic Health Records Humans User-Computer Interface
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Identifying Patients' Smoking Status from Electronic Dental Records Data.

Studies in health technology and informatics Jan 1, 2017
Smoking is a significant risk factor for initiation and progression of oral diseases. A patient's current smoking status and tobacco dependency can aid clinical decision making and treatment planning. The free-text nature of this data limits accessib...
Data Mining Smoking Risk Factors Natural Language Processing Tobacco Use Disorder Dental Records Humans Electronic Health Records
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Extracting Predictive Indicator for Prognosis of Cerebral Infarction Using Machine Learning Techniques.

Studies in health technology and informatics Jan 1, 2017
Identifying important predicative indicators for prognosis is useful since these factors help for understanding diseases and determining treatments for patients. We extracted important factors for prognosis of cerebral infarction from EHR. We analyze...
Decision Trees Cerebral Infarction Prognosis Humans Machine Learning
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Deep Diabetologist: Learning to Prescribe Hypoglycemic Medications with Recurrent Neural Networks.

Studies in health technology and informatics Jan 1, 2017
In healthcare, applying deep learning models to electronic health records (EHRs) has drawn considerable attention. This sequential nature of EHR data make them wellmatched for the power of Recurrent Neural Network (RNN). In this poster, we propose "D...
Humans Neural Networks, Computer Hypoglycemic Agents Diabetes Mellitus Learning Machine Learning Logistic Models Clinical Decision-Making
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Avoiding Overfitting in Deep Neural Networks for Clinical Opinions Generation from General Blood Test Results.

Studies in health technology and informatics Jan 1, 2017
We have used deep neural networks (DNNs) to generate clinical opinions from general blood test results. DNNs have overfitting problem in general. We believe the complex structure of DNN and insufficient data to be the major reasons of overfitting in ...
Hematologic Tests Humans Clinical Decision-Making Diagnosis Neural Networks, Computer
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A Performance Comparison on the Machine Learning Classifiers in Predictive Pathology Staging of Prostate Cancer.

Studies in health technology and informatics Jan 1, 2017
This study objectives to investigate a range of Partin table and several machine learning methods for pathological stage prediction and assess them with respect to their predictive model performance based on Koreans data. The data was used SPCDB and ...
Humans Machine Learning Male Nomograms Neoplasm Staging Predictive Value of Tests Prostatic Neoplasms
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Usability Evaluation of NLP-PIER: A Clinical Document Search Engine for Researchers.

Studies in health technology and informatics Jan 1, 2017
NLP-PIER (Natural Language Processing - Patient Information Extraction for Research) is a self-service platform with a search engine for clinical researchers to perform natural language processing (NLP) queries using clinical notes. We conducted user...
Humans Information Storage and Retrieval Electronic Health Records Search Engine Natural Language Processing
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A Study on Data-Driven Novel Cancer Staging Methods.

Studies in health technology and informatics Jan 1, 2017
This paper presents a data-driven method to study the relationship of survival and clinical information of patients. The machine learning models were established to study the survival situation at the time of interest based on survival analysis. The ...
Machine Learning Neoplasm Staging Survival Analysis Humans Statistics as Topic
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