Medical risk prediction models :with ties to machine learning

Medical risk prediction models :with ties to machine learning

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Bibliografiske detaljer
Hovedforfatter:	GERDS, Thomas A. KATTAN, Micheal W.
Format:	Bog
Sprog:	engelsk
Udgivet:	CRC Press 2021
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Lignende værker

Reliabilty prediction model for the first time failure of power distribution transformers
af: Ekpo, Rowland Benjamin
Udgivet: (2023)

An ANN Model for Predicting the Quantity of Lead and Cadmium Ions in Industrial Wastewater
af: OLAJUBU, EMMANUEL, et al.
Udgivet: (2023)

Development of an Improved risk Assesment Model in Cyberspace Security Management
af: Akinsiku, Omoyemi,Abimbola
Udgivet: (2023)

Medical microbiology
af: BROOKS, Geo F.
Udgivet: (2013)

Medical English
af: Ribes,Ramon
Udgivet: (2006)

Medical parasitology
af: ARORA, D. R.
Udgivet: (2020)

Medical English.
af: Ribes, Ramon
Udgivet: (2006)

Medical Geography
af: Department of Geography
Udgivet: (2019)

Medical Virology
af: Microbiology
Udgivet: (2019)

Delmar Learning’s administrative medical assisting
af: THOMSON
Udgivet: (2006)

Development of a Fuzzy Logic-based Model for Monitoring Cardiovascular Risk
af: idowu, PETER ADEBAYO, et al.
Udgivet: (2023)

Genomic clinical trails and predictive medicine
af: SIMON, Richard M.
Udgivet: (2013)

Review of medical microbiology
af: JAWETZ, Ernest. Melnick, Joseph L. Adelberg, Edward A.
Udgivet: (1984)

Little and Falace’s dental management of the medically compromised patient
af: LITTLE, James W
Udgivet: (2018)

Medical -Surgical Nursing
af: SINGH, D. K.
Udgivet: (2019)

Essentials of medical physiology
af: SEMBULINGAM, K.
Udgivet: (2016)

Physiotherapy in medical conditions
af: KUMAR, Suraj
Udgivet: (2014)

Scientific challenges and the importavce of weather prediction in Nigeria
af: Balogun, E.E
Udgivet: (2019)

Scientific Challenges and the Importance of Weather Prediction in Nigeria
af: Balogun, Ekundayo E.
Udgivet: (2013)

Development of Predictive model for survival of Paediatric HIV/AID Patients in South Western Nigeria using Data Mining Techniques.
af: Agbelusi, Olutola
Udgivet: (2023)

MEDICAL insurance a revenue cycle process approach
af: Valerius, Joanne D.
Udgivet: (2020)

Simple strategies for teaching children at risk, K-5
af: STORMONT, Melissa Thomas, Cathy Newman
Udgivet: (2014)

Predicted responses to recurrent selection in maize (Zea mays L.)
af: Fakorede, M. A. B., et al.
Udgivet: (2015)

PREDICTED RESPONSES TO RECURRENT SELECTION IN MAIZE (ZEA MAYS L.)
af: FAKOREDE , M. A. B., et al.
Udgivet: (2020)

Being a medical transcriptionist
af: MORROW, Norma Lee
Udgivet: (1992)

Key concepts in medical sociology
af: GABE, Jonathan
Udgivet: (2013)

Step-by-step medical coding
af: BUCK, Carol J.
Udgivet: (2012)

Scully’s medical problems in dentistry
af: SCULLY, Crispian
Udgivet: (2014)

Analyzing banking risk a framework for assessing corporate governance and risk management
af: GRUENING, Hennie Van Brajovic, Sonja Bratanomic
Udgivet: (2020)

Continuous Generalized predictive of an Experiment Four-Tank level Process
af: Olabiyi, Olayinka Ayodeji
Udgivet: (2023)

A HANDBOOK of medical laboratory technology
Udgivet: (1999)

Medical microbiology for nurses (including parasitory)
af: ANTHIKAD, Jacob
Udgivet: (2013)

The new American medical dictionary and health manual
af: ROTHENBERG, Roberth E
Udgivet: (1968)

Medical use of human beings : respect as a basis for critique of discourse, law and practice
af: GARWOOD- GOWERS, Austen
Udgivet: (2020)

Patient safety and managing risk in nursing
af: FISHER, Melanie
Udgivet: (2013)

RISK, UNCERTAINTY AND INSURANCE IN SMALLHOLDER AGRICULTURE
af: AJOBO, OWOLABI
Udgivet: (2020)

Multiple choice questions (MCQS) in medical biochemistry Part one/
af: ABDUL-KAREEM, H. A
Udgivet: (2009)

A Low-Level Generalization Model for Simulating Global Economic Meltdown
af: Yesufu, Thomas kokumo
Udgivet: (2023)

Virtual medical office for Beik: health insurance today : a practical approach
af: SMITH, Linda
Udgivet: (2011)

RYDS Modeling of a Hybrid-Source Autonomous Electric Microgrid
af: Ajewole, T.O, et al.
Udgivet: (2020)