AIMC Topic: Female

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Real-time data analysis using a machine learning model significantly improves prediction of successful vaginal deliveries.

American journal of obstetrics and gynecology
BACKGROUND: The process of childbirth is one of the most crucial events in the future health and development of the offspring. The vulnerability of parturients and fetuses during the delivery process led to the development of intrapartum monitoring m...

An automated machine learning approach to predict brain age from cortical anatomical measures.

Human brain mapping
The use of machine learning (ML) algorithms has significantly increased in neuroscience. However, from the vast extent of possible ML algorithms, which one is the optimal model to predict the target variable? What are the hyperparameters for such a m...

Predicting hospital admission for older emergency department patients: Insights from machine learning.

International journal of medical informatics
BACKGROUND: Emergency departments (ED) are a portal of entry into the hospital and are uniquely positioned to influence the health care trajectories of older adults seeking medical attention. Older adults present to the ED with distinct needs and com...

Machine learning on drug-specific data to predict small molecule teratogenicity.

Reproductive toxicology (Elmsford, N.Y.)
Pregnant women are an especially vulnerable population, given the sensitivity of a developing fetus to chemical exposures. However, prescribing behavior for the gravid patient is guided on limited human data and conflicting cases of adverse outcomes ...

A pilot study on the design and validation of a hybrid exoskeleton robotic device for hand rehabilitation.

Journal of hand therapy : official journal of the American Society of Hand Therapists
STUDY DESIGN: An iterative design process was used to obtain design parameters that satisfy both kinematic and dynamic requirements for the hand exoskeleton. This design was validated through experimental studies.

Application of deep learning to improve sleep scoring of wrist actigraphy.

Sleep medicine
BACKGROUND: Estimation of sleep parameters by wrist actigraphy is highly dependent on performance of the interpretative algorithm (IA) that converts movement data into sleep/wake scores.

Common cancer biomarkers of breast and ovarian types identified through artificial intelligence.

Chemical biology & drug design
Biomarkers can offer great promise for improving prevention and treatment of complex diseases such as cancer, cardiovascular diseases, and diabetes. These can be used as either diagnostic or predictive or as prognostic biomarkers. The revolution brou...

Data-Driven Cervical Cancer Prediction Model with Outlier Detection and Over-Sampling Methods.

Sensors (Basel, Switzerland)
Globally, cervical cancer remains as the foremost prevailing cancer in females. Hence, it is necessary to distinguish the importance of risk factors of cervical cancer to classify potential patients. The present work proposes a cervical cancer predic...

Osteoarthritis of the Temporomandibular Joint can be diagnosed earlier using biomarkers and machine learning.

Scientific reports
After chronic low back pain, Temporomandibular Joint (TMJ) disorders are the second most common musculoskeletal condition affecting 5 to 12% of the population, with an annual health cost estimated at $4 billion. Chronic disability in TMJ osteoarthrit...