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Precision Health Database


Genomics & Health Impact Scan Database|Search|PHGKB

Heart, Lung, Blood, and Sleep Disorders

Last data update: Feb 04, 2023. (Total: 52476 Documents since 2012)
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Query Trace: Stroke[original query]>>Evidence Synthesis [Product Type]
Prediction of type 2 diabetes mellitus using hematological factors based on machine learning approaches: a cohort study analysis.
Mansoori Amin et al. Scientific reports 2023 13(1) 663
Deep learning for collateral evaluation in ischemic stroke with imbalanced data.
Aktar Mumu et al. International journal of computer assisted radiology and surgery 2023
Qualitative and quantitative effects of PCSK9 inhibitors in familial hypercholesterolemia: a synthetic review.
Shakir Aamina et al. Current problems in cardiology 2022 101550
Artificial intelligence-driven ASPECTS for the detection of early stroke changes in non-contrast CT: a systematic review and meta-analysis.
Adamou Antonis et al. Journal of neurointerventional surgery 2022
Pre-thrombectomy prognostic prediction of large-vessel ischemic stroke using machine learning: A systematic review and meta-analysis.
Zeng Minyan et al. Frontiers in neurology 2022 13945813
Accuracy of machine learning algorithms for the assessment of upper-limb motor impairments in patients with post-stroke hemiparesis: A systematic review and meta-analysis.
Ambros-Antemate Jorge Fernando et al. Advances in clinical and experimental medicine : official organ Wroclaw Medical University 2022
Cost-effectiveness of population-wide genomic screening for familial hypercholesterolemia in the United States.
Spencer Scott J et al. Journal of clinical lipidology 2022
Machine learning methods for functional recovery prediction and prognosis in post-stroke rehabilitation: a systematic review.
Campagnini Silvia et al. Journal of neuroengineering and rehabilitation 2022 19(1) 54
Strategies to increase access to basic sickle cell disease care in low- and middle-income countries.
Dua Meghna et al. Expert review of hematology 2022 1-12
Number of Affected Relatives, Age, Smoking, and Hypertension Prediction Score for Intracranial Aneurysms in Persons With a Family History for Subarachnoid Hemorrhage.
Zuurbier Charlotte C M et al. Stroke 2022 STROKEAHA121034612
Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda.
Kumar Yogesh et al. Journal of ambient intelligence and humanized computing 2022 1-28
Clinical and economic impact of molecular testing for BRAF fusion in pediatric low-grade Glioma.
Rios Juan David et al. BMC pediatrics 2022 22(1) 13
Machine learning-based patient classification system for adults with stroke: A systematic review.
Ruksakulpiwat Suebsarn et al. Chronic illness 2021 17423953211067435
Prediction of incident atrial fibrillation in community-based electronic health records: a systematic review with meta-analysis.
Nadarajah Ramesh et al. Heart (British Cardiac Society) 2021
Cost-effectiveness of artificial intelligence aided vessel occlusion detection in acute stroke: an early health technology assessment.
van Leeuwen Kicky G et al. Insights into imaging 2021 12(1) 133
Manifestations of HbSE sickle cell disease: a systematic review.
Khamees Ibrahim et al. Journal of translational medicine 2021 19(1) 262
Long noncoding RNA as a biomarker for the prognosis of ischemic stroke: A protocol for meta-analysis and bioinformatics analysis.
Fu Jing et al. Medicine 2021 100(17) e25596
A systematic review of the effectiveness of machine learning for predicting psychosocial outcomes in acquired brain injury: Which algorithms are used and why?
Mawdsley Emma et al. Journal of neuropsychology 2021
Systematic review protocol to assess artificial intelligence diagnostic accuracy performance in detecting acute ischaemic stroke and large-vessel occlusions on CT and MR medical imaging.
Kundeti Srinivasa Rao et al. BMJ open 2021 11(3) e043665
Deep neural network-based machine learning reduces the screening workload for systematic review: Investigation based on recent clinical guidelines.
Yamada Tomohide et al. Journal of medical Internet research 2020 Nov
Machine learning prediction in cardiovascular diseases: a meta-analysis.
Krittanawong Chayakrit et al. Scientific reports 2020 Sep 10(1) 16057
Cost Effectiveness of Genotype-Guided Antiplatelet Therapy in Asian Ischemic Stroke Patients: Ticagrelor as an Alternative to Clopidogrel in Patients with CYP2C19 Loss of Function Mutations.
Narasimhalu Kaavya et al. Clinical drug investigation 2020 Sep
Risk of Ischemic Stroke and Peripheral Arterial Disease in Heterozygous Familial Hypercholesterolemia: A Meta-Analysis.
Akioyamen Leo E et al. Angiology 2019 Sep 70(8) 726-736
CLINGEN Actionability Report for Marfan Syndrome - FBN1
ClinGen Actionability Working Group
CLINGEN Actionability Report for Factor V Leiden, Homozygous (also includes compound heterozygous FVL + prothrombin G20210A) - F5
ClinGen Actionability Working Group
CLINGEN Actionability Report for Hereditary Hemorrhagic Telangiectasia - ENG, ACVRL1, SMAD4, GDF2
ClinGen Actionability Working Group
CLINGEN Actionability Report for Dilated cardiomyopathy - DMD, LMNA, TNNT2
ClinGen Actionability Working Group
CLINGEN Actionability Report for von Willebrand Disease - VWF
ClinGen Actionability Working Group
CLINGEN Actionability Report for Fabry Disease - GLA
ClinGen Actionability Working Group
CLINGEN Actionability Report for Ehlers-Danlos Syndrome Type IV - COL3A1
ClinGen Actionability Working Group
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