AIMC Topic: Machine Learning

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Natural language processing to measure the frequency and mode of communication between healthcare professionals and family members of critically ill patients.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2021
OBJECTIVE: To apply natural language processing (NLP) techniques to identify individual events and modes of communication between healthcare professionals and families of critically ill patients from electronic medical records (EMR).
Intensive Care Units Communication Natural Language Processing Datasets as Topic Family Professional-Family Relations Humans Machine Learning Retrospective Studies Critical Illness
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Precision population analytics: population management at the point-of-care.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2021
OBJECTIVE: To present clinicians at the point-of-care with real-world data on the effectiveness of various treatment options in a precision cohort of patients closely matched to the index patient.
Hypertension Treatment Outcome Hyperlipidemias Practice Guidelines as Topic Machine Learning Electronic Health Records Diabetes Mellitus, Type 2 Evidence-Based Medicine Decision Making, Computer-Assisted Patient Care Management Humans
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Generative transfer learning for measuring plausibility of EHR diagnosis records.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2021
OBJECTIVE: Due to a complex set of processes involved with the recording of health information in the Electronic Health Records (EHRs), the truthfulness of EHR diagnosis records is questionable. We present a computational approach to estimate the pro...
Humans Machine Learning Delivery of Health Care Electronic Health Records Supervised Machine Learning Diagnosis Probability Professional-Patient Relations Disease
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Predicting 2-Day Mortality of Thrombocytopenic Patients Based on Clinical Laboratory Data Using Machine Learning.

Medical care Mar 1, 2021
BACKGROUND: Clinical laboratories have traditionally used a single critical value for thrombocytopenic events. This system, however, could lead to inaccuracies and inefficiencies, causing alarm fatigue and compromised patient safety.
Thrombocytopenia Hospital Mortality Support Vector Machine Bayes Theorem Forecasting Female Male Hospitalization Humans Risk Assessment Length of Stay Machine Learning Time Factors
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Classifying Pseudogout Using Machine Learning Approaches With Electronic Health Record Data.

Arthritis care & research Mar 1, 2021
OBJECTIVE: Identifying pseudogout in large data sets is difficult due to its episodic nature and a lack of billing codes specific to this acute subtype of calcium pyrophosphate (CPP) deposition disease. The objective of this study was to evaluate a n...
Humans Machine Learning Electronic Health Records Middle Aged Natural Language Processing Data Mining Chondrocalcinosis Female Aged Aged, 80 and over Male
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CRISPRidentify: identification of CRISPR arrays using machine learning approach.

Nucleic acids research Feb 26, 2021
CRISPR-Cas are adaptive immune systems that degrade foreign genetic elements in archaea and bacteria. In carrying out their immune functions, CRISPR-Cas systems heavily rely on RNA components. These CRISPR (cr) RNAs are repeat-spacer units that are p...
Clustered Regularly Interspaced Short Palindromic Repeats Genome, Bacterial Genome, Archaeal Machine Learning Software
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Brain metastasis detection using machine learning: a systematic review and meta-analysis.

Neuro-oncology Feb 25, 2021
BACKGROUND: Accurate detection of brain metastasis (BM) is important for cancer patients. We aimed to systematically review the performance and quality of machine-learning-based BM detection on MRI in the relevant literature.
Artificial Intelligence Machine Learning Brain Neoplasms Magnetic Resonance Imaging Humans
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Soft magnetic skin for super-resolution tactile sensing with force self-decoupling.

Science robotics Feb 24, 2021
Human skin can sense subtle changes of both normal and shear forces (i.e., self-decoupled) and perceive stimuli with finer resolution than the average spacing between mechanoreceptors (i.e., super-resolved). By contrast, existing tactile sensors for ...
Elastomers Skin Touch Elastic Modulus Biomimetic Materials Humans Hand Smart Materials Mechanical Phenomena Machine Learning Magnetic Phenomena Robotics Artificial Organs
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Identifying key predictors of mortality in young patients on chronic haemodialysis-a machine learning approach.

Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association Feb 20, 2021
BACKGROUND: The mortality risk remains significant in paediatric and adult patients on chronic haemodialysis (HD) treatment. We aimed to identify factors associated with mortality in patients who started HD as children and continued HD as adults.
Body Weight Anemia Nutritional Status Humans Male Machine Learning Infant Infant, Newborn Biomarkers Child, Preschool Renal Dialysis Young Adult Prognosis Child Adult Adolescent Retrospective Studies Inflammation Survival Rate Kidney Failure, Chronic Female
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A machine-learning based approach to quantify fine crackles in the diagnosis of interstitial pneumonia: A proof-of-concept study.

Medicine Feb 19, 2021
Fine crackles are frequently heard in patients with interstitial lung diseases (ILDs) and are known as the sensitive indicator for ILDs, although the objective method for analyzing respiratory sounds including fine crackles is not clinically availabl...
Respiratory Sounds Female Aged Aged, 80 and over Idiopathic Pulmonary Fibrosis Machine Learning Middle Aged Male Lung Diseases, Interstitial Humans Algorithms Radiography, Thoracic Disease Progression Tomography, X-Ray Computed Auscultation Lung
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