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Regulatory genes identification within functional genomics experiments for tissue classification into binary classes via machine learning techniques.
In JPMA. The Journal of the Pakistan Medical Association
Wazir Bushra, Khan Dost Muhammad, Khalil Umair, Hamraz Muhammad, Gul Naz, Khan Zardad
** Gene selection, classification, random forest, cancer, microarray gene expression \n\n**
Risk Stratification for Early Detection of Diabetes and Hypertension in Resource-Limited Settings: Machine Learning Analysis.
In Journal of medical Internet research ; h5-index 88.0
Boutilier Justin J, Chan Timothy C Y, Ranjan Manish, Deo Sarang
diabetes, global health, hypertension, machine learning, screening
In Cancer journal (Sudbury, Mass.)
Marra Antonio, Curigliano Giuseppe
ADOPT: automatic deep learning and optimization-based approach for detection of novel coronavirus COVID-19 disease using X-ray images.
In Journal of biomolecular structure & dynamics
Dhiman Gaurav, Chang Victor, Kant Singh Krishna, Shankar Achyut
CNN, COVID-19, Coronavirus, J48, MOSHO, deep learning, optimization
On the usage of average Hausdorff distance for segmentation performance assessment: hidden error when used for ranking.
In European radiology experimental
Aydin Orhun Utku, Taha Abdel Aziz, Hilbert Adam, Khalil Ahmed A, Galinovic Ivana, Fiebach Jochen B, Frey Dietmar, Madai Vince Istvan
Average Hausdorff distance, Cerebral angiography, Cerebral arteries, Image processing (computer-assisted)
Outcome prediction in aneurysmal subarachnoid hemorrhage: a comparison of machine learning methods and established clinico-radiological scores.
In Neurosurgical review ; h5-index 27.0
Dengler Nora Franziska, Madai Vince Istvan, Unteroberdörster Meike, Zihni Esra, Brune Sophie Charlotte, Hilbert Adam, Livne Michelle, Wolf Stefan, Vajkoczy Peter, Frey Dietmar
Aneurysmal subarachnoid hemorrhage, Artificial neural net, Deep learning, Outcome prediction, Tree boosting