keyword
https://read.qxmd.com/read/38630536/a-roadmap-for-using-causal-inference-and-machine-learning-to-personalize-asthma-medication-selection
#1
JOURNAL ARTICLE
Flory L Nkoy, Bryan L Stone, Yue Zhang, Gang Luo
Inhaled corticosteroid (ICS) is a mainstay treatment for controlling asthma and preventing exacerbations in patients with persistent asthma. Many types of ICS drugs are used, either alone or in combination with other controller medications. Despite the widespread use of ICSs, asthma control remains suboptimal in many people with asthma. Suboptimal control leads to recurrent exacerbations, causes frequent ER visits and inpatient stays, and is due to multiple factors. One such factor is the inappropriate ICS choice for the patient...
April 17, 2024: JMIR Medical Informatics
https://read.qxmd.com/read/38630201/decision-making-for-congenital-anomalies-diagnosed-during-pregnancy-a-narrative-review
#2
REVIEW
Jillian Pecoriello, Anna- Grace Lilly, Dona Jalili, Clarisa Mendoza, Gwendolyn P Quinn, Christina A Penfield
PURPOSE: The purpose of this narrative review was to assess the limited literature on fetal anomalies diagnosed in the second trimester of pregnancy and parental decision-making and identify sources of information deemed as facilitators and barriers to medical decisions. METHODS: This was a literature review of source material and information about fetal anomalies diagnosed in the second trimester of pregnancy, decision-making, decision tools or aids, and sources of information for anomalies...
April 17, 2024: Journal of Assisted Reproduction and Genetics
https://read.qxmd.com/read/38630157/comparing-the-effectiveness-of-a-clinical-decision-support-tool-in-reducing-pediatric-opioid-dose-calculation-errors-pedipain-app-vs-traditional-calculators-a-simulation-based-randomised-controlled-study
#3
JOURNAL ARTICLE
Clyde T Matava, Martina Bordini, Amanda Jasudavisius, Carmina Santos, Monica Caldeira-Kulbakas
Wrong dose calculation medication errors are widespread in pediatric patients mainly due to weight-based dosing. PediPain app is a clinical decision support tool that provides weight- and age- based dosages for various analgesics. We hypothesized that the use of a clinical decision support tool, the PediPain app versus pocket calculators for calculating pain medication dosages in children reduces the incidence of wrong dosage calculations and shortens the time taken for calculations. The study was a randomised controlled trial comparing the PediPain app vs...
April 17, 2024: Journal of Medical Systems
https://read.qxmd.com/read/38629867/the-opi%C3%A2-aid-zone-tool-as-a-composite-outcome-for-postoperative-pain-management-quality-a-protocol-for-an-observational-pilot-study
#4
JOURNAL ARTICLE
Anders Peder Højer Karlsen, Trang Xuan Minh Tran, Ole Mathiesen, Janus Christian Jakobsen, Christian S Meyhoff, Troels Haxholdt Lunn, Markus Harboe Olsen
BACKGROUND: Managing postoperative pain while minimizing opioid-related adverse drug events (ORADEs) remains a significant challenge. The OPI•AID Zone Tool is proposed as a novel clinical decision support tool that - both graphically and in a scoring-system - represents the relationship between pain management and the occurrence of ORADEs, aiming to enhance patient outcomes in postoperative care. The OPI•AID Zone Tool places pain score on the x-axis and an ORADE score on the y-axis, and stratifies patients into five zones to reflect the composite impact of pain severity and ORADEs on the quality of postoperative patient care...
April 17, 2024: Acta Anaesthesiologica Scandinavica
https://read.qxmd.com/read/38629761/preliminary-testing-of-roadmap-to-parenthood-decision-aid-and-planning-tool-for-family-building-after-cancer-results-of-a-single-arm-pilot-study
#5
JOURNAL ARTICLE
Catherine Benedict, Jennifer S Ford, Lidia Schapira, Alexandra Davis, Pamela Simon, David Spiegel, Michael Diefenbach
OBJECTIVE: Many young adult female cancer survivors need to use reproductive medicine, surrogacy, or adoption to have a child. This study pilot tested Roadmap to Parenthood, a web-based, self-guided decision aid and planning tool for family building after cancer (disease agnostic). METHODS: A single-arm pilot study tested feasibility, acceptability, and obtained effect size estimates of the Roadmap tool. Participants, recruited via hospital-based and social media strategies, completed a baseline survey (T1), accessed the Roadmap tool (website), then completed surveys at one- and 3-months (T2 and T3, respectively)...
April 2024: Psycho-oncology
https://read.qxmd.com/read/38627718/machine-learning-and-optical-coherence-tomography-derived-radiomics-analysis-to-predict-persistent-diabetic-macular-edema-in-patients-undergoing-anti-vegf-intravitreal-therapy
#6
JOURNAL ARTICLE
Zhishang Meng, Yanzhu Chen, Haoyu Li, Yue Zhang, Xiaoxi Yao, Yongan Meng, Wen Shi, Youling Liang, Yuqian Hu, Dan Liu, Manyun Xie, Bin Yan, Jing Luo
BACKGROUND: Diabetic macular edema (DME) is a leading cause of vision loss in patients with diabetes. This study aimed to develop and evaluate an OCT-omics prediction model for assessing anti-vascular endothelial growth factor (VEGF) treatment response in patients with DME. METHODS: A retrospective analysis of 113 eyes from 82 patients with DME was conducted. Comprehensive feature engineering was applied to clinical and optical coherence tomography (OCT) data. Logistic regression, support vector machine (SVM), and backpropagation neural network (BPNN) classifiers were trained using a training set of 79 eyes, and evaluated on a test set of 34 eyes...
April 16, 2024: Journal of Translational Medicine
https://read.qxmd.com/read/38626940/health-information-technology-tools-to-accelerate-gastrointestinal-evaluation-in-patients-with-iron-deficiency-anaemia-a-cluster-randomised-controlled-trial
#7
JOURNAL ARTICLE
Aparna Priyanath Gupta, Dharmesh Patel, Ji Young Lee, Michelle Volpentesta, Michael Schachter, Stephen D Persell
OBJECTIVE: System-level safety measures do not exist to ensure that patients with iron deficiency anaemia (IDA) undergo proper diagnostic evaluations. We sought to determine if a set of EHR (electronic health record) tools and an expedited referral workflow increase short-term completion of bidirectional endoscopy in higher risk patients with IDA. MATERIALS AND METHODS: We conducted a pragmatic, cluster-randomised trial randomised by primary care physician (PCP) that included 16 PCPs and 316 patients with IDA...
April 15, 2024: BMJ Open Quality
https://read.qxmd.com/read/38626923/methodological-quality-of-systematic-reviews-on-atopic-dermatitis-treatments-a-cross-sectional-study
#8
REVIEW
Leonard Ho, Yolenda Man Kei Cheung, Cyrus Chung Ching Choi, Irene Xinyin Wu, Chen Mao, Vincent Chi Ho Chung
BACKGROUND: Systematic reviews (SRs) could offer the best evidence supporting interventions, but methodological flaws limit their trustworthiness in decision-making. This cross-sectional study appraised the methodological quality of SRs on atopic dermatitis (AD) treatments. METHODS: We searched MEDLINE, EMBASE, PsycINFO, and Cochrane Database for SRs on AD treatments published in 2019-2022. We extracted SRs' bibliographical data and appraised SRs' methodological quality with AMSTAR (A MeaSurement Tool to Assess systematic Reviews) 2...
December 2024: Journal of Dermatological Treatment
https://read.qxmd.com/read/38626625/enhancing-psychiatric-rehabilitation-outcomes-through-a-multimodal-multitask-learning-model-based-on-bert-and-tabnet-an-approach-for-personalized-treatment-and-improved-decision-making
#9
JOURNAL ARTICLE
Hongyi Yang, Dian Zhu, Siyuan He, Zhiqi Xu, Zhao Liu, Weibo Zhang, Jun Cai
Evaluating the rehabilitation status of individuals with serious mental illnesses (SMI) necessitates a comprehensive analysis of multimodal data, including unstructured text records and structured diagnostic data. However, progress in the effective assessment of rehabilitation status remains limited. Our study develops a deep learning model integrating Bidirectional Encoder Representations from Transformers (BERT) and TabNet through a late fusion strategy to enhance rehabilitation prediction, including referral risk, dangerous behaviors, self-awareness, and medication adherence, in patients with SMI...
April 6, 2024: Psychiatry Research
https://read.qxmd.com/read/38626515/oncology-care-providers-perceptions-and-anticipated-barriers-regarding-the-use-of-geriatric-assessment-in-routine-clinic-practice-a-mixed-methods-study
#10
JOURNAL ARTICLE
Schroder Sattar, Kristen R Haase, Martine Puts, Mohammed Iddrisu, Haji Chalchal, Osama Souied, Shabbir M H Alibhai, Shahid Ahmed
INTRODUCTION: Geriatric assessment (GA) is currently not a standard of cancer care across Canada. In the Canadian province of Saskatchewan, there are no known formal geriatric teams in outpatient oncology settings. Therefore, it is not known whether, how, and to what extent GA is performed in oncology clinics, or what supports are needed to carry out a GA. The objective of this study was to explore Saskatchewan oncology care providers' knowledge, perceptions, and practices regarding GA, and their perceived barriers to implementing formal GA...
April 15, 2024: Journal of Geriatric Oncology
https://read.qxmd.com/read/38625803/improving-antibiotic-overuse-in-primary-care-a-multimodal-quality-improvement-project
#11
JOURNAL ARTICLE
Anestasia Wharton, Bonnie Jerome-D'Emilia, Margaret Avallone
PURPOSE: Antibiotic overuse has increased over time related to provider knowledge gaps about best practices, provider perception of patient expectations on receiving an antibiotic, possible pressure to see patients in a timely fashion, and concerns about decreased patient satisfaction when an antibiotic is not prescribed. The Centers for Disease Control and Prevention estimates that up to 30% of antibiotics are inappropriately prescribed in the outpatient setting. APPROACH: This quality improvement project consisted of a multimodal approach to decrease inappropriate antibiotic prescribing for viral upper respiratory infections (URIs) by using provider education, passive patient education, and clinical decision support tools based on Centers for Disease Control and Prevention recommendations and the Be Antibiotic Aware tool...
May 2024: Clinical Nurse Specialist CNS
https://read.qxmd.com/read/38625737/machine-learning-for-prediction-of-tuberculosis-detection-case-study-of-trained-african-giant-pouched-rats
#12
JOURNAL ARTICLE
Joan Jonathan, Alcardo Alex Barakabitze, Cynthia D Fast, Christophe Cox
BACKGROUND: Technological advancement has led to the growth and rapid increase of tuberculosis (TB) medical data generated from different health care areas, including diagnosis. Prioritizing better adoption and acceptance of innovative diagnostic technology to reduce the spread of TB significantly benefits developing countries. Trained TB-detection rats are used in Tanzania and Ethiopia for operational research to complement other TB diagnostic tools. This technology has increased new TB case detection owing to its speed, cost-effectiveness, and sensitivity...
April 16, 2024: Online Journal of Public Health Informatics
https://read.qxmd.com/read/38625731/user-centered-development-of-a-patient-decision-aid-for-choice-of-early-abortion-method-multi-cycle-mixed-methods-study
#13
JOURNAL ARTICLE
Kate J Wahl, Melissa Brooks, Logan Trenaman, Kirsten Desjardins-Lorimer, Carolyn M Bell, Nazgul Chokmorova, Romy Segall, Janelle Syring, Aleyah Williams, Linda C Li, Wendy V Norman, Sarah Munro
BACKGROUND: People seeking abortion in early pregnancy have the choice between medication and procedural options for care. The choice is preference-sensitive-there is no clinically superior option and the choice depends on what matters most to the individual patient. Patient decision aids (PtDAs) are shared decision-making tools that support people in making informed, values-aligned health care choices. OBJECTIVE: We aimed to develop and evaluate the usability of a web-based PtDA for the Canadian context, where abortion care is publicly funded and available without legal restriction...
April 16, 2024: Journal of Medical Internet Research
https://read.qxmd.com/read/38625728/integrating-explainable-machine-learning-in-clinical-decision-support-systems-study-involving-a-modified-design-thinking-approach
#14
JOURNAL ARTICLE
Michael Shulha, Jordan Hovdebo, Vinita D'Souza, Francis Thibault, Rola Harmouche
BACKGROUND: Though there has been considerable effort to implement machine learning (ML) methods for health care, clinical implementation has lagged. Incorporating explainable machine learning (XML) methods through the development of a decision support tool using a design thinking approach is expected to lead to greater uptake of such tools. OBJECTIVE: This work aimed to explore how constant engagement of clinician end users can address the lack of adoption of ML tools in clinical contexts due to their lack of transparency and address challenges related to presenting explainability in a decision support interface...
April 16, 2024: JMIR Formative Research
https://read.qxmd.com/read/38625628/prediction-of-heart-failure-and-all-cause-mortality-using-cardiac-ultrasomics-in-patients-with-breast-cancer
#15
JOURNAL ARTICLE
Quincy A Hathaway, Yahya Abdeen, Justin Conte, Rotem Hass, Matthew J Santer, Bandar Alyami, Juan Carlo Avalon, Brijesh Patel
Breast cancer chemotherapy/immunotherapy can be associated with treatment-limiting cardiotoxicity. Radiomics techniques applied to ultrasound, known as ultrasomics, can be used in cardio-oncology to leverage echocardiography for added prognostic value. To utilize ultrasomics features collected prior to antineoplastic therapy to enhance prediction of mortality and heart failure (HF) in patients with breast cancer. Patients were retrospectively recruited in a study at the West Virginia University Cancer Institute...
April 16, 2024: International Journal of Cardiovascular Imaging
https://read.qxmd.com/read/38624074/integrating-smartwatches-in-community-mental-health-services-for-severe-mental-illness-for-detecting-relapse-and-informing-future-intervention-a-case-series
#16
JOURNAL ARTICLE
David Johnston, Rachael Foord, Achim Casties, Nola Viaphay, Ahmed Tohamy, Naomi Van Leeuwen, Jodie Sinclair, Daniel Talbot, Anthony Harris
OBJECTIVE: This case series explored the integration of smartwatches in a community mental health service to support severe mental illness (SMI) management and intervention. We examined whether biometric data provided by smartwatches could help to predict relapse and inform treatment decisions. METHOD: Four Australian SMI outpatients of mixed diagnoses (age range = 19-24) were selected from a prior study. Clinicians accessed patients' biometric data (activity, sleep, heart rate, and electrodermal activity) through smartwatches...
April 16, 2024: Early Intervention in Psychiatry
https://read.qxmd.com/read/38622291/using-sentinel-2-satellite-images-and-machine-learning-algorithms-to-predict-tropical-pasture-forage-mass-crude-protein-and-fiber-content
#17
JOURNAL ARTICLE
Marcia Helena Machado da Rocha Fernandes, Jalme de Souza FernandesJunior, Jordan Melissa Adams, Mingyung Lee, Ricardo Andrade Reis, Luis Orlindo Tedeschi
Grasslands cover approximately 24% of the Earth's surface and are the main feed source for cattle and other ruminants. Sustainable and efficient grazing systems require regular monitoring of the quantity and nutritive value of pastures. This study demonstrates the potential of estimating pasture leaf forage mass (FM), crude protein (CP) and fiber content of tropical pastures using Sentinel-2 satellite images and machine learning algorithms. Field datasets and satellite images were assessed from an experimental area of Marandu palisade grass (Urochloa brizantha sny...
April 15, 2024: Scientific Reports
https://read.qxmd.com/read/38621547/second-running-title-prediction-of-copd-related-exacerbations
#18
JOURNAL ARTICLE
Francesco Lapi, Ettore Marconi, Francesco Paolo Lombardo, Iacopo Cricelli, Elena Ansaldo, Marco Gorini, Claudio Micheletto, Fabiano Di Marco, Claudio Cricelli
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is the fourth most important cause of death in high-income countries. Inappropriate use of COPD inhaled therapy, including the low adherence (only 10% to 40% of patients reporting an adequate compliance) may shrink or even nullify the proven benefits of these medications. As such, an accurate prediction algorithm to assess at national level the risk of COPD exacerbation might be relevant for general practictioners (GPs) to improve patient's therapy...
April 13, 2024: Respiratory Medicine
https://read.qxmd.com/read/38621237/clinical-decision-support-system-for-guidelines-based-treatment-of-gonococcal-infections-screening-for-hiv-and-prescription-of-pre-exposure-prophylaxis-design-and-implementation-study
#19
JOURNAL ARTICLE
Saugat Karki, Sarah Shaw, Michael Lieberman, Alejandro Pérez, Jonathan Pincus, Priya Jakhmola, Amrita Tailor, Oyinkansola Bukky Ogunrinde, Danielle Sill, Shane Morgan, Miguel Alvarez, Jonathan Todd, Dawn Smith, Ninad Mishra
BACKGROUND: The syndemic nature of gonococcal infections and HIV provides an opportunity to develop a synergistic intervention tool that could address the need for adequate treatment for gonorrhea, screen for HIV infections, and offer pre-exposure prophylaxis (PrEP) for persons who meet the criteria. By leveraging information available on electronic health records, a clinical decision support (CDS) system tool could fulfill this need and improve adherence to Centers for Disease Control and Prevention (CDC) treatment and screening guidelines for gonorrhea, HIV, and PrEP...
April 15, 2024: JMIR Formative Research
https://read.qxmd.com/read/38618345/the-value-of-emergency-care-data-set-ecds-presentation-codes-for-predicting-mortality-and-inpatient-admission
#20
JOURNAL ARTICLE
Betsy Teresa, Mohammed Subhi, Adrian Boyle, Wayne Kark
BACKGROUND:  Early identification of patients at higher risk of death and hospital admission is an important problem in Emergency Departments (ED). Most triage scales were developed before current electronic healthcare records were developed. The implementation of a national Emergency Care Data Set (ECDS) allows for the standardised recording of presenting complaints and the use of Electronic Patient Records (EPR) offers the potential for automated triage. The mortality risk and need for hospital admission associated with the different presenting complaints in a standardised national data set has not been previously reported...
March 2024: Curēus
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