DeepFert: An Intelligent Fertility Rate Prediction Approach for Men Based on Deep Learning Neural Networks

Shahid Naseem; Tariq Mahmood; Tanzila Saba; Faten S. Alamri; Saeed Ali Omer Bahaj; Hammad Ateeq; Umer Farooq

doi:10.1109/ACCESS.2023.3290554

DeepFert: An Intelligent Fertility Rate Prediction Approach for Men Based on Deep Learning Neural Networks

Shahid Naseem
, Tariq Mahmood
, Tanzila Saba
, Faten S. Alamri
, Saeed Ali Omer Bahaj
, Hammad Ateeq
, Umer Farooq

Management Information Systems

Research output: Contribution to journal › Article › peer-review

16 Scopus citations

Abstract

Men's fertility depends on their bodies making normal sperm and delivering them. Semen analysis has been the test of choice for assessing the male partner in an infertile couple using a single threshold value to distinguish 'abnormal' and 'normal' parameters.

Original language	English
Pages (from-to)	75006-75022
Number of pages	17
Journal	IEEE Access
Volume	11
DOIs	https://doi.org/10.1109/ACCESS.2023.3290554
State	Published - 2023

Keywords

Fertility
deep learning
dwindled
neural networks
spermatozoa

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10.1109/ACCESS.2023.3290554

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abstract = "Men's fertility depends on their bodies making normal sperm and delivering them. Semen analysis has been the test of choice for assessing the male partner in an infertile couple using a single threshold value to distinguish 'abnormal' and 'normal' parameters.",

keywords = "Fertility, deep learning, dwindled, neural networks, spermatozoa",

author = "Shahid Naseem and Tariq Mahmood and Tanzila Saba and Alamri, \{Faten S.\} and Bahaj, \{Saeed Ali Omer\} and Hammad Ateeq and Umer Farooq",

note = "Publisher Copyright: {\textcopyright}gime issues might affect the semen morphology, quality, and spermatozoa, and also reduce the risks of fertility due to food regimen including glycemic content and limited intake of nutrients. Determination of the connotation between adjustable rA.",

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T2 - An Intelligent Fertility Rate Prediction Approach for Men Based on Deep Learning Neural Networks

AU - Naseem, Shahid

AU - Mahmood, Tariq

AU - Saba, Tanzila

AU - Alamri, Faten S.

AU - Bahaj, Saeed Ali Omer

AU - Ateeq, Hammad

AU - Farooq, Umer

N1 - Publisher Copyright: ©gime issues might affect the semen morphology, quality, and spermatozoa, and also reduce the risks of fertility due to food regimen including glycemic content and limited intake of nutrients. Determination of the connotation between adjustable rA.

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AB - Men's fertility depends on their bodies making normal sperm and delivering them. Semen analysis has been the test of choice for assessing the male partner in an infertile couple using a single threshold value to distinguish 'abnormal' and 'normal' parameters.

KW - Fertility

KW - deep learning

KW - dwindled

KW - neural networks

KW - spermatozoa

UR - https://www.scopus.com/pages/publications/85163490296

U2 - 10.1109/ACCESS.2023.3290554

DO - 10.1109/ACCESS.2023.3290554

M3 - Article

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SP - 75006

EP - 75022

JO - IEEE Access

JF - IEEE Access

ER -

DeepFert: An Intelligent Fertility Rate Prediction Approach for Men Based on Deep Learning Neural Networks

Abstract

Keywords

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