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EARLY PREDICTION OF CERVICAL CANCER USING MACHINE LEARNING TECHNIQUES

(Received: 28-Aug.-2022, Revised: 16-Oct.-2022 , Accepted: 30-Oct.-2022)
Mohammad Subhi Al- Batah,Mazen Alzyoud,Raed Alazaidah,Malek Toubat,Haneen Alzoubi,Areej Olaiyat
#Cervical cancer #Classification #Feature selection #Machine learning #Medical diagnosis
  • Views: 3102
  • Downloads: 784
  • DOI: 10.5455/jjcit.71-1661691447
  • Cited by: 24
Abstract

RISK FACTOR IDENTIFICATION FOR STROKE PROGNOSIS USING MACHINE-LEARNING ALGORITHMS

(Received: 16-May-2022, Revised: 6-Jul.-2022 , Accepted: 7-Jul.-2022)
Tanvir Ahammad
#Stroke prediction #Machine learning #Classification #Feature selection #Stroke risk factors #Healthcare
  • Views: 4736
  • Downloads: 874
  • DOI: 10.5455/jjcit.71-1652725746
  • Cited by: 11
Abstract

A NOVEL TRUE-REAL-TIME SPATIOTEMPORAL DATA STREAM PROCESSING FRAMEWORK

(Received: 9-Mar.-2022, Revised: 2-May-2022 , Accepted: 23-May-2022)
Ature Angbera,Huah Yong Chan
#Spatiotemporal big data #Real-time processing #Stream processing #Apache Kafka #Apache Flink #Apache Cassandra #Apache Spark
  • Views: 3589
  • Downloads: 877
  • DOI: 10.5455/jjcit.71-1646838830
  • Cited by: 4
Abstract

DEVELOPMENT OF ENSEMBLE MACHINE LEARNING MODEL TO IMPROVE COVID-19 OUTBREAK FORECASTING

(Received: 22-Dec.-2021, Revised: 27-Feb.-2022 , Accepted: 25 -Mar.-2022 )
Meaad Alrehaili,Fatmah Assiri
#COVID-19 #Coronavirus disease #Coronavirus #Pandemic #Epidemic prediction #Future forecasting #Machine learning #Ensemble machine learning algorithms #Naive Bayes #Support vector machine #Random forest #Gradient boosting
  • Views: 3250
  • Downloads: 811
  • DOI: 10.5455/jjcit.71-1640174252
  • Cited by: 2
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