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Intracranial Hemorrhage, Hypertensive

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Blood Pressure Model Based on Hybrid Feature Convolution Neural Network in Promoting Rehabilitation of Patients with Hypertensive Intracerebral Hemorrhage.

Computational and mathematical methods in medicine 34917162
OBJECTIVE: Accurate prediction of the rise of blood pressure is essential for the hypertensive intracerebral hemorrhage. This study uses the hybrid feature convolution neural network to establish the blood pressure model instead of the traditional me...
Adult Aged Algorithms Antihypertensive Agents Blood Pressure Computational Biology Female Humans Intracranial Hemorrhage, Hypertensive Machine Learning Male Middle Aged Models, Cardiovascular Neural Networks, Computer Pulse Wave Analysis Recurrence
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Impact of Endoscopic Surgery Versus Robot CAS-R-2 Assisted with Stereotactic Drainage on Prognosis of Basal Ganglia Hypertensive Intracerebral Hemorrhage.

World neurosurgery 37898270
OBJECTIVE: To evaluate the impact of endoscopic surgery (ES) versus robot CAS-R-2 assisted with stereotactic drainage on prognosis of basal ganglia hypertensive intracerebral hemorrhage (HICH).
Adult Basal Ganglia Basal Ganglia Hemorrhage Cerebral Hemorrhage China Drainage Endoscopy Female Hematoma Humans Infant, Newborn Intracranial Hemorrhage, Hypertensive Middle Aged Prognosis Retrospective Studies Robotics Treatment Outcome
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Predicting postoperative rehemorrhage in hypertensive intracerebral hemorrhage using noncontrast CT radiomics and clinical data with an interpretable machine learning approach.

Scientific reports 38678066
In hypertensive intracerebral hemorrhage (HICH) patients, while emergency surgeries effectively reduce intracranial pressure and hematoma volume, their significant risk of causing postoperative rehemorrhage necessitates early detection and management...
Aged Female Humans Intracranial Hemorrhage, Hypertensive Machine Learning Male Middle Aged Prognosis Radiomics Retrospective Studies Tomography, X-Ray Computed
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A Comparative Study of a Nomogram and Machine Learning Models in Predicting Early Hematoma Expansion in Hypertensive Intracerebral Hemorrhage.

Academic radiology 38937153
RATIONALE AND OBJECTIVES: Early identification for hematoma expansion can help improve patient outcomes. Presently, there are many methods to predict hematoma expansion. This study compared a variety of models to find a model suitable for clinical pr...
Aged Female Hematoma Humans Intracranial Hemorrhage, Hypertensive Machine Learning Male Middle Aged Nomograms Tomography, X-Ray Computed
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