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data science

2,518 papers

#data science Open access Oct 2026

PREVALENCE AND RISK FACTORS OF HEADACHE AMONG SCHOOL-AGED CHILDREN

Background: Headache is a common complaint among school-aged children and may interfere with daily activities, academic performance, and quality of life. Its occurrence may be influenced by demographic characteristics, familial susceptibility, and potentially modifiable lifestyle factors. Objectives: To determine the p...

Dr. Ban Nozat Fathi2 Dr. Raad Jassim Noori*1 · 0 citations
#data science Open access Oct 2026

WHY PYTHON PROGRAMMING IN PHARMACEUTICAL SCIENCE?

The rapid digital transformation of the pharmaceutical sector has created a growing demand for professionals who can combine pharmaceutical knowledge with computational and data-analytic skills. Python programming has emerged as a valuable educational and professional tool because of its simple syntax, open-source natu...

Dr. Surendra Pardhi1*, Mr. Gajanand Dashahare2, Mr. Govind Kirar3, Dr. Vaibhav Solanki4 · 0 citations
#data science Open access Oct 2026

FEVER MANAGEMENT IN CHILDREN. PARENTAL KNOWLEDGE AND PRACTICES

Background: Fever is one of the most common reasons for pediatric healthcare visits. Although fever is usually a physiological response to infection, parental misconceptions may lead to inappropriate antipyretic use, unnecessary physical cooling, and inappropriate healthcare-seeking. Assessing parental knowledge and pr...

2Dr. Ban Nozat Fathi *1Dr. Raad Jassim Noori · 0 citations
#data science Open access Oct 2026

CORRELATION BETWEEN DEGENERATIVE LUMBER SPINE DISEASES (SPONDYLOLISTHESIS, RETROLISTHESIS AND SPINAL STENOSIS) WITH BONE MINERAL DENSITY AND TRABECULAR BONE SCORE: CASE-CONTROL STUDY

Background: Degenerative lumbar spine diseases are among the leading causes of low back pain and disability worldwide. Bone mineral density and trabecular bone score are important indicators of bone quantity and microarchitecture, respectively. However, the correlation between individual degenerative lumbar spine disea...

*1Ahmed Thamer Saleh, 2Dr. Thamer Ahmed Hamdan, 3Dr. Mustafa Abd Almajeed Hussein · 0 citations
#data science Open access Oct 2026

PREDICTORS OF SEVERE COMMUNITY-ACQUIRED PNEUMONIA AMONG CHILDREN ADMITTED TO MOSUL GENERAL HOSPITAL

Background: Community-acquired pneumonia (CAP) remains an important cause of morbidity and hospitalization among children, particularly in low- and middle-income countries. Early recognition of severe disease is essential to facilitate timely oxygen therapy, close monitoring, and appropriate escalation of treatment. Cl...

*Dr. Abdallah Idan Abdallah · 0 citations
#data science Open access Oct 2026

CORRELATION BETWEEN DEGENERATIVE LUMBER SPINE DISEASES (SPONDYLOLISTHESIS, RETROLISTHESIS AND SPINAL STENOSIS) WITH BONE MINERAL DENSITY AND TRABECULAR BONE SCORE: CASE-CONTROL STUDY

Background: Degenerative lumbar spine diseases are among the leading causes of low back pain and disability worldwide. Bone mineral density and trabecular bone score are important indicators of bone quantity and microarchitecture, respectively. However, the correlation between individual degenerative lumbar spine disea...

*1Ahmed Thamer Saleh, 2Dr. Thamer Ahmed Hamdan, 3Dr. Mustafa Abd Almajeed Hussein · 0 citations
#data science Open access Oct 2026

A SYSTEMATIC REVIEW OF FAULT DETECTION IN MEDICAL EQUIPMENT USING MACHINE LEARNING: ALGORITHMS, PERFORMANCE, AND SCALABILITY CHALLENGES

Unexpected failures of medical equipment disrupt healthcare services, compromise patient safety, and increase operational costs. Predictive maintenance powered by machine learning (ML) offers a promising solution, but the effectiveness of different ML algorithms across various medical devices and data scales remains un...

Amar Al Salkeni*1, Ibrahim Chami2, Dr. George Karraz3 · 0 citations
#data science Open access Oct 2026

PREDICTORS OF SEVERE COMMUNITY-ACQUIRED PNEUMONIA AMONG CHILDREN ADMITTED TO MOSUL GENERAL HOSPITAL

Background: Community-acquired pneumonia (CAP) remains an important cause of morbidity and hospitalization among children, particularly in low- and middle-income countries. Early recognition of severe disease is essential to facilitate timely oxygen therapy, close monitoring, and appropriate escalation of treatment. Cl...

*Dr. Abdallah Idan Abdallah · 0 citations
#data science Open access Oct 2026

KNOWLEDGE, ATTITUDES, AND PRACTICES REGARDING HORMONAL CONTRACEPTIVE IMPLANTS AMONG SAMPLE OF CHILDBEARING AGE WOMEN ATTENDING OUTPATIENT CLINICS IN AL-IMAMMEIN AL-KADHIMEIN MEDICAL CITY IN BAGHDAD/ 2025

Background: Hormonal contraceptive implants are long-acting reversible contraceptives are small, flexible rods inserted subdermally in the upper arm by trained providers, that offer highly effective birth control through the continuous release of synthetic progestin hormones. These implants are widely recognized for th...

*Reem Dhurgham Mohammed Taqi (M.B.Ch.B), Sali Alla Muhammed Ridha (M.B.Ch.B, F.I.C.M.S-FM), Saga Atta Thajeel (M.B.Ch.B, F.I.C.M.S-FM) · 0 citations
#data science Open access Oct 2026

A SYSTEMATIC REVIEW OF FAULT DETECTION IN MEDICAL EQUIPMENT USING MACHINE LEARNING: ALGORITHMS, PERFORMANCE, AND SCALABILITY CHALLENGES

Unexpected failures of medical equipment disrupt healthcare services, compromise patient safety, and increase operational costs. Predictive maintenance powered by machine learning (ML) offers a promising solution, but the effectiveness of different ML algorithms across various medical devices and data scales remains un...

Amar Al Salkeni*1, Ibrahim Chami2, Dr. George Karraz3 · 0 citations
#data science Open access Oct 2026

KNOWLEDGE, ATTITUDES, AND PRACTICES REGARDING HORMONAL CONTRACEPTIVE IMPLANTS AMONG SAMPLE OF CHILDBEARING AGE WOMEN ATTENDING OUTPATIENT CLINICS IN AL-IMAMMEIN AL-KADHIMEIN MEDICAL CITY IN BAGHDAD/ 2025

Background: Hormonal contraceptive implants are long-acting reversible contraceptives are small, flexible rods inserted subdermally in the upper arm by trained providers, that offer highly effective birth control through the continuous release of synthetic progestin hormones. These implants are widely recognized for th...

*Reem Dhurgham Mohammed Taqi (M.B.Ch.B), Sali Alla Muhammed Ridha (M.B.Ch.B, F.I.C.M.S-FM), Saga Atta Thajeel (M.B.Ch.B, F.I.C.M.S-FM) · 0 citations
#data science Oct 2026

Polymer informatics: A review of ai-driven structure-property modeling and material design

Polymer science is undergoing a profound paradigm shift from labor-intensive, empirical trial-and-error experimentation to AI-guided, data-driven, and predictive material design. Owing to their multiscale structural diversity (spanning atomic connectivity, chain-packing behavior, and macroscopic morphology), polymer ma...

Haiyan GONG, Jingzhi Yang, Annan Kong et al. · 0 citations

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Microsoft Research Blog Oct 6, 2026

What AI gets wrong and what failure teaches us

Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity.  The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.

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