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Mary Grace N. Tamio
shared news
在 April 13 2024 at 09:04 PM
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Predicting involuntary admission following inpatient psychiatric treatment using machine learning trained on electronic health record data
#psychiatrictreatment
#machinelearning
#journals
#articles
More info | ⬇️
Predicting involuntary admission following inpatient psychiatric treatment using machine learning trained on electronic health record data
medRxiv - The Preprint Server for Health Sciences
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Mary Grace N. Tamio
shared news
在 March 07 2024 at 06:56 PM
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Prediction of tumor lysis syndrome in childhood acute lymphoblastic leukemia based on machine learning models: a retrospective study
#lysissyndrome
#ALM
#leukemia
#machinelearning
#journals
#articles
More info | ⬇️
Prediction of tumor lysis syndrome in childhood acute lymphoblastic leukemia based on machine learning models: a retrospective study
<sec><title>Background</title><p>Tumor lysis syndrome (TLS) often occurs early after induction che...
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Mary Grace N. Tamio
shared news
在 March 04 2024 at 08:29 PM
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Machine Learning for Predicting Therapeutic Outcomes in Acute Myeloid Leukemia Patients
#machinelearning
#acutemyeloidleukemia
#journals
#articles
More info | ⬇️
Machine Learning for Predicting Therapeutic Outcomes in Acute Myeloid Leukemia Patients
medRxiv - The Preprint Server for Health Sciences
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Mary Grace N. Tamio
shared news
在 February 21 2024 at 09:09 PM
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X-rays radiomics-based machine learning classification of atypical cartilaginous tumour and high-grade chondrosarcoma of long bones
#machinelearning
#Xray
#cartilaginoustumour
#chondrosarcoma
#journals
#articles
More info | ⬇️
X-rays radiomics-based machine learning classification of atypical cartilaginous tumour and high-grade chondrosarcoma of long bones
BackgroundAtypical cartilaginous tumour (ACT) and high-grade chondrosarcoma (CS) of long bones are respectively managed wi...
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Mary Grace N. Tamio
shared news
在 November 08 2023 at 11:18 AM
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Machine learning-based prediction of acute mortality in emergency department patients using twelve-lead electrocardiogram
#machinelearning
#electrocardiogram
#journals
#articles
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Machine learning-based prediction of acute mortality in emergency department patients using twelve-lead electrocardiogram
BackgroundThe risk of mortality is relatively high among patients who visit the emergency department (ED), and stratifying...
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