AIMC Topic: Sweden

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Training machine learning models to predict 30-day mortality in patients discharged from the emergency department: a retrospective, population-based registry study.

BMJ open Aug 10, 2019
OBJECTIVES: The aim of this work was to train machine learning models to identify patients at end of life with clinically meaningful diagnostic accuracy, using 30-day mortality in patients discharged from the emergency department (ED) as a proxy.
Electronic Health Records Female Sweden Aged Aged, 80 and over Humans Machine Learning Retrospective Studies Logistic Models Emergency Service, Hospital Registries Patient Discharge Mortality Young Adult Adult Male Middle Aged Time Factors
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Readmission prediction using deep learning on electronic health records.

Journal of biomedical informatics Jul 24, 2019
Unscheduled 30-day readmissions are a hallmark of Congestive Heart Failure (CHF) patients that pose significant health risks and escalate care cost. In order to reduce readmissions and curb the cost of care, it is important to initiate targeted inter...
Expert Systems Cost Savings Aged Aged, 80 and over Male Deep Learning Neural Networks, Computer Time Factors Computational Biology Electronic Health Records Models, Statistical Female Patient Discharge Sweden Heart Failure Risk Factors Patient Readmission Humans
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Robot-assisted Radical Prostatectomy-So Successful Because It Is Better or Better Because It Is So Successful?

European urology oncology Sep 15, 2018
Humans Sweden Male Follow-Up Studies Robotics Robotic Surgical Procedures Prostatectomy
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Machine Learning Methods Improve Prognostication, Identify Clinically Distinct Phenotypes, and Detect Heterogeneity in Response to Therapy in a Large Cohort of Heart Failure Patients.

Journal of the American Heart Association Apr 12, 2018
BACKGROUND: Whereas heart failure (HF) is a complex clinical syndrome, conventional approaches to its management have treated it as a singular disease, leading to inadequate patient care and inefficient clinical trials. We hypothesized that applying ...
Ventricular Function, Left Stroke Volume Middle Aged Follow-Up Studies Registries Sweden Aged Aged, 80 and over Survival Rate Male Adrenergic beta-Antagonists Heart Failure Diuretics Angiotensin Receptor Antagonists Angiotensin-Converting Enzyme Inhibitors Cardiovascular Agents Humans Machine Learning Algorithms Phenotype Prognosis Retrospective Studies Female Reproducibility of Results
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Extraction, selection and comparison of features for an effective automated computer-aided diagnosis of Parkinson's disease based on [I]FP-CIT SPECT images.

European journal of nuclear medicine and molecular imaging Dec 23, 2017
PURPOSE: This work aimed to assess the potential of a set of features extracted from [I]FP-CIT SPECT brain images to be used in the computer-aided "in vivo" confirmation of dopaminergic degeneration and therefore to assist clinical decision to diagno...
Tropanes Male Humans Middle Aged Female Image Processing, Computer-Assisted Sweden Parkinson Disease Aged Tomography, Emission-Computed, Single-Photon
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From passive passenger to participating co-pilot - Pregnant women's expectations of being able to access their online journal from antenatal care.

Sexual & reproductive healthcare : official journal of the Swedish Association of Midwives Nov 28, 2017
OBJECTIVE: The aim of the study was to describe pregnant women's expectations of being able to access their electronic health records from antenatal care.
Access to Information Humans Patient Participation Electronic Health Records Prenatal Care Pregnant People Pregnancy Diagnostic Self Evaluation Surveys and Questionnaires Female Health Knowledge, Attitudes, Practice Sweden Maternal Health Young Adult Internet Adult Power, Psychological
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Predicting two-year survival versus non-survival after first myocardial infarction using machine learning and Swedish national register data.

BMC medical informatics and decision making Jul 5, 2017
BACKGROUND: Machine learning algorithms hold potential for improved prediction of all-cause mortality in cardiovascular patients, yet have not previously been developed with high-quality population data. This study compared four popular machine learn...
Survival Analysis Models, Cardiovascular Risk Assessment Humans Support Vector Machine Algorithms Cause of Death Prospective Studies Registries Prognosis Myocardial Infarction Female Aged Reproducibility of Results Aged, 80 and over Sweden Male Risk Factors Middle Aged
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Semi-supervised medical entity recognition: A study on Spanish and Swedish clinical corpora.

Journal of biomedical informatics May 16, 2017
OBJECTIVE: The goal of this study is to investigate entity recognition within Electronic Health Records (EHRs) focusing on Spanish and Swedish. Of particular importance is a robust representation of the entities. In our case, we utilized unsupervised...
Semantics Data Curation Humans Machine Learning Electronic Health Records Sweden Cluster Analysis
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Feasibility of spirography features for objective assessment of motor function in Parkinson's disease.

Artificial intelligence in medicine Mar 31, 2017
OBJECTIVE: Parkinson's disease (PD) is currently incurable, however proper treatment can ease the symptoms and significantly improve the quality of life of patients. Since PD is a chronic disease, its efficient monitoring and management is very impor...
Dyskinesia, Drug-Induced Humans Machine Learning Feasibility Studies Antiparkinson Agents Middle Aged Hypokinesia Severity of Illness Index Motor Activity Diagnosis, Computer-Assisted Upper Extremity Time Factors Treatment Outcome Image Processing, Computer-Assisted Health Status Retrospective Studies Parkinson Disease Female Predictive Value of Tests Sweden Aged Male
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Introduction of robot-assisted radical hysterectomy for early stage cervical cancer: impact on complications, costs and oncologic outcome.

Acta obstetricia et gynecologica Scandinavica Mar 6, 2017
INTRODUCTION: The objective was to assess the impact of robot-assisted radical hysterectomy (RRH) on surgical and oncologic outcome and costs compared with open radical hysterectomy (ORH) at a tertiary referral center in Sweden.
Humans Retrospective Studies Female Sweden Adult Survival Rate Uterine Cervical Neoplasms Postoperative Complications Treatment Outcome Robotics Neoplasm Staging Neoplasm Recurrence, Local Referral and Consultation Hysterectomy
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