Intrinsic and Extrinsic Factors Predicting the Cumulative Outcome of IVF / ICSI Treatment
Gowramma G S1, Shantharam Nayak2, Nagaraj Cholli3

1Mrs. Gowramma G.S, Associate Professor, Department of Information Science & Engineering, Don Bosco Institute of Technology, Bengaluru, (Karnataka), India.

2Dr. Shantharam Nayak, Professor, Department of Information Science & Engineering, R. V. College of Engineering, Bengaluru, (Karnataka), India.

3Dr. Nagaraj G Cholli, Department of Computer Science & Engineering, Visvesvaraya Technological University Belagavi (Karnataka), India.

Manuscript received on 04 December 2019 | Revised Manuscript received on 12 December 2019 | Manuscript Published on 31 December 2019 | PP: 269-273 | Volume-9 Issue-2S December 2019 | Retrieval Number: B10071292S19/2019©BEIESP | DOI: 10.35940/ijitee.B1007.1292S19

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Abstract: Infertility rates in India becoming increased in last decade principally due to the urbanization conditions and the lifestyle habits. It is giving alarm by continuously reporting the progress in incident cases of infertility amongst the young Indian adults of both male and female population. Among the various Assisted Reproductive Technologies (ART) available today in the treatment of infertility, In Vitro Fertilization (IVF) is found to be the most applicable treatment method of choice. This involves the administration of different hormones and drugs to treat infertility. In the present scenario technically IVF treatment process is tedious, laborious, high cost and most importantly success rates reported to be very low (20-30%). The prediction of IVF success rates is becoming an important scientific knowledge and practice, which helps both the doctor and the candidate couple to know about the conditions hence to take the right decision. The accurate prediction of the IVF success rate is really a challenging task in obstetrics and gynecology medicine. The success rates of the IVF depends on the various factors such as Intrinsic factors i.e, Genetic predisposition, Age, Body mass Index, Hormonal balance, Embryo viability, Sperm quality, Endometriosis and overall patient’s response level of the candidate couple and the Extrinsic factors such as Medical equipment technology, Treatment methods, Personal experiences of clinicians and embryologists, Process time, Stress due to the lifestyle etc.

Keywords: Success Rates Prediction, Data Analytics, Intrinsic Factors, Extrinsic Factors.
Scope of the Article: Data Analytics