Suchergebnisse - "Aktar, Sakifa"

PubPharm (9)

1

Adverse Effects of COVID-19 Vaccination : Machine Learning and Statistical Approach to Identify and Classify Incidences of Morbidity and Postvaccination Reactogenicity

enthalten in: Healthcare (Basel, Switzerland) | 2022

von Ahamad, M. | Aktar, S. | Uddin, M. | +9

2

Early-Stage Detection of Ovarian Cancer Based on Clinical Data Using Machine Learning Approaches

enthalten in: Journal of personalized medicine | 2022

von Ahamad, M. | Aktar, S. | Uddin, M. | +6

3

Machine Learning Approaches to Identify Patient Comorbidities and Symptoms That Increased Risk of Mortality in COVID-19

enthalten in: Diagnostics (Basel, Switzerland) | 2021

von Aktar, S. | Talukder, A. | Ahamad, M. | +10

4

Adverse effects of COVID-19 vaccination: machine learning and statistical approach to identify and classify incidences of morbidity and post-vaccination reactogenicity

enthalten in: bioRxiv.org | 2021

von Ahamad, M. | Aktar, S. | Uddin, M. | +8

5

Machine Learning Approach to Predicting COVID-19 Disease Severity Based on Clinical Blood Test Data : Statistical Analysis and Model Development

enthalten in: JMIR medical informatics | 2021

von Aktar, S. | Ahamad, M. | Rashed-Al-Mahfuz, M. | +9

6

Machine Learning Approach to Predicting COVID-19 Disease Severity Based on Clinical Blood Test Data: Statistical Analysis and Model Development

in: JMIR Medical Informatics | 2021

von Aktar, S. | Ahamad, M. | Rashed-Al-Mahfuz, M. | +9

7

A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients

enthalten in: Expert systems with applications | 2020

von Ahamad, M. | Aktar, S. | Rashed-Al-Mahfuz, M. | +6

8

Predicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data

enthalten in: arXiv.org | 2020

von Aktar, S. | Ahamad, M. | Rashed-Al-Mahfuz, M. | +9

9

Machine Learning and Meta-Analysis Approach to Identify Patient Comorbidities and Symptoms that Increased Risk of Mortality in COVID-19

enthalten in: arXiv.org | 2020

von Aktar, S. | Talukder, A. | Ahamad, M. | +9

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