AIMC Topic: Electronic Health Records

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Treatment initiation prediction by EHR mapped PPD tensor based convolutional neural networks boosting algorithm.

Journal of biomedical informatics Jun 15, 2021
Electronic health records contain patient's information that can be used for health analytics tasks such as disease detection, disease progression prediction, patient profiling, etc. Traditional machine learning or deep learning methods treat EHR ent...
Machine Learning Algorithms Electronic Health Records Humans Neural Networks, Computer Prescriptions
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A machine learning approach to predict healthcare cost of breast cancer patients.

Scientific reports Jun 14, 2021
This paper presents a novel machine learning approach to perform an early prediction of the healthcare cost of breast cancer patients. The learning phase of our prediction method considers the following two steps: (1) in the first step, the patients ...
Electronic Health Records Female Breast Neoplasms Humans Machine Learning Health Care Costs Cluster Analysis Markov Chains Models, Economic
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Longitudinal cohorts for harnessing the electronic health record for disease prediction in a US population.

BMJ open Jun 8, 2021
PURPOSE: The depth and breadth of clinical data within electronic health record (EHR) systems paired with innovative machine learning methods can be leveraged to identify novel risk factors for complex diseases. However, analysing the EHR is challeng...
Wisconsin Electronic Health Records Female Male Humans Middle Aged Machine Learning Cohort Studies Minnesota
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Gaining Insights Into Patient Satisfaction Through Interpretable Machine Learning.

IEEE journal of biomedical and health informatics Jun 3, 2021
Patient satisfaction is a key performance indicator of patient-centered care and hospital reimbursement. To discover the major factors that affect patient experiences is considered as an effective way to formulate corrective actions. A patient during...
Health Personnel Electronic Health Records Female Humans Machine Learning Male Surveys and Questionnaires Patient Satisfaction
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A Deep Learning-Based Unsupervised Method to Impute Missing Values in Patient Records for Improved Management of Cardiovascular Patients.

IEEE journal of biomedical and health informatics Jun 3, 2021
Physicians increasingly depend on electronic health records (EHRs) to manage their patients. However, many patient records have substantial missing values that pose a fundamental challenge to their clinical use. To address this prevailing challenge, ...
Humans Research Design Electronic Health Records Deep Learning
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CNN-RNN Based Intelligent Recommendation for Online Medical Pre-Diagnosis Support.

IEEE/ACM transactions on computational biology and bioinformatics Jun 3, 2021
The rapidly developed Health 2.0 technology has provided people with more opportunities to conduct online medical consultation than ever before. Understanding contexts within different online medical communications and activities becomes a significan...
Humans Neural Networks, Computer Natural Language Processing Algorithms Electronic Health Records Diagnosis, Computer-Assisted
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Knowledge-Powered Deep Breast Tumor Classification With Multiple Medical Reports.

IEEE/ACM transactions on computational biology and bioinformatics Jun 3, 2021
Breast tumor classification with multiple medical reports such as B-ultrasound, Mammography (X-ray) and Nuclear Magnetic Resonance Imaging (MRI) is crucial to the intelligent cancer diagnosis system. Unlike the other domain texts, the medical reports...
Electronic Health Records Female Breast Neoplasms Computational Biology Humans Semantics Neural Networks, Computer Diagnosis, Computer-Assisted Deep Learning
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High-Risk Prediction of Cardiovascular Diseases via Attention-Based Deep Neural Networks.

IEEE/ACM transactions on computational biology and bioinformatics Jun 3, 2021
High-risk prediction of cardiovascular disease is of great significance and impendency in medical fields with the increasing phenomenon of sub-health these years. Most existing pathological methods for the prognosis prediction are either costly or pr...
Medical Informatics Male Cardiovascular Diseases Middle Aged Risk Assessment Deep Learning Data Mining Electronic Health Records Female Adult Humans Neural Networks, Computer Algorithms
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Can we screen for pancreatic cancer? Identifying a sub-population of patients at high risk of subsequent diagnosis using machine learning techniques applied to primary care data.

PloS one Jun 2, 2021
BACKGROUND: Pancreatic cancer (PC) represents a substantial public health burden. Pancreatic cancer patients have very low survival due to the difficulty of identifying cancers early when the tumour is localised to the site of origin and treatable. R...
Case-Control Studies Adolescent Follow-Up Studies Female Primary Health Care Aged Early Detection of Cancer Male Aged, 80 and over Pancreatic Neoplasms Middle Aged Prospective Studies Humans Young Adult Risk Assessment Machine Learning Prognosis Adult Algorithms Electronic Health Records Survival Rate
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A Machine Learning Approach for Mortality Prediction in COVID-19 Pneumonia: Development and Evaluation of the Piacenza Score.

Journal of medical Internet research May 31, 2021
BACKGROUND: Several models have been developed to predict mortality in patients with COVID-19 pneumonia, but only a few have demonstrated enough discriminatory capacity. Machine learning algorithms represent a novel approach for the data-driven predi...
Male Cohort Studies Bayes Theorem Humans Italy Female Research Design Machine Learning SARS-CoV-2 Retrospective Studies COVID-19 Risk Factors Electronic Health Records
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