Applying Big Data Analytic Methods In The Design of Prediction Algorithms For Efficacy And Adverse Effects of Psychiatric Medications
Sign Up to like & getrecommendations! Published in 2017 at "European Neuropsychopharmacology"
DOI: 10.1016/j.euroneuro.2016.09.390
Abstract: Abstract Psychiatric disorders are complex and heterogenic brain related diseases which are still not fully understood. Indeed, while other fields of medicine have seen significant advances in diagnosis and prognosis over the past decade, the… read more here.
Keywords: machine learning; efficacy adverse; prediction algorithms; algorithms efficacy ... See more keywords
Bioinformatic Analysis Reveals both Oversampled and Underexplored Biosynthetic Diversity in Nonribosomal Peptides
Sign Up to like & getrecommendations! Published in 2023 at "ACS Chemical Biology"
DOI: 10.1021/acschembio.2c00761
Abstract: The traditional natural product discovery approach has accessed only a fraction of the chemical diversity in nature. The use of bioinformatic tools to interpret the instructions encoded in microbial biosynthetic genes has the potential to… read more here.
Keywords: prediction algorithms; biosynthetic diversity; bioinformatic analysis; diversity ... See more keywords
The circadian profile of epilepsy improves seizure forecasting
Sign Up to like & getrecommendations! Published in 2017 at "Brain"
DOI: 10.1093/brain/awx173
Abstract: It is now established that epilepsy is characterized by periodic dynamics that increase seizure likelihood at certain times of day, and which are highly patient-specific. However, these dynamics are not typically incorporated into seizure prediction… read more here.
Keywords: seizure forecasting; epilepsy; prediction algorithms; seizure prediction ... See more keywords
T80. CARDIOMETABOLIC RISK PREDICTION ALGORITHMS AND THEIR APPLICABILITY FOR YOUNG PEOPLE WITH PSYCHOSIS: A SYSTEMATIC REVIEW AND ILLUSTRATIVE EXAMPLE USING ORIGINAL DATA FROM A POPULATION-BASED BIRTH COHORT
Sign Up to like & getrecommendations! Published in 2020 at "Schizophrenia Bulletin"
DOI: 10.1093/schbul/sbaa029.640
Abstract: Abstract Background Cardiometabolic risk prediction algorithms are used in clinical practice. Young people with psychosis are a high-risk group for developing cardiometabolic disorders, but it is unclear whether existing algorithms are suitable for this group.… read more here.
Keywords: people psychosis; risk; cardiometabolic risk; prediction algorithms ... See more keywords
Performance Evaluation of Warfarin Dose Prediction Algorithms and Effects of Clinical Factors on Warfarin Dose in Chinese Patients.
Sign Up to like & getrecommendations! Published in 2021 at "Therapeutic drug monitoring"
DOI: 10.1097/ftd.0000000000000880
Abstract: BACKGROUND The clinical utility of warfarin dose prediction algorithms remains controversial, our purpose is to evaluate the performance of warfarin dose prediction algorithms and the effects of clinical factors on warfarin dose in Chinese patients.… read more here.
Keywords: dose prediction; warfarin dose; prediction algorithms; warfarin ... See more keywords
State prediction of MR system by VMD-GRNN based on fractal dimension
Sign Up to like & getrecommendations! Published in 2022 at "Advances in Mechanical Engineering"
DOI: 10.1177/16878132221145899
Abstract: Taking the test signals of magneto-rheological vibration system under different states as research objects, four Generalized Regression Neural Network (GRNN) prediction algorithms, based on time series, time series Auto-Regressive (AR) model coefficients, time series box… read more here.
Keywords: system; prediction algorithms; prediction; dimension ... See more keywords
Erratum to mortality prediction algorithms for patients undergoing primary percutaneous coronary intervention.
Sign Up to like & getrecommendations! Published in 2020 at "Journal of thoracic disease"
DOI: 10.21037/jtd-2020-56
Abstract: [This corrects the article DOI: 10.21037/jtd.2019.12.83.]. read more here.
Keywords: algorithms patients; erratum mortality; patients undergoing; prediction algorithms ... See more keywords
Systematic Evaluation of Genomic Prediction Algorithms for Genomic Prediction and Breeding of Aquatic Animals
Sign Up to like & getrecommendations! Published in 2022 at "Genes"
DOI: 10.3390/genes13122247
Abstract: The extensive use of genomic selection (GS) in livestock and crops has led to a series of genomic-prediction (GP) algorithms despite the lack of a single algorithm that can suit all the species and traits.… read more here.
Keywords: genomic prediction; aquaculture species; breeding; prediction algorithms ... See more keywords
A Comprehensive Evaluation of the Performance of Prediction Algorithms on Clinically Relevant Missense Variants
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Molecular Sciences"
DOI: 10.3390/ijms23147946
Abstract: The rapid integration of genomic technologies in clinical diagnostics has resulted in the detection of a multitude of missense variants whose clinical significance is often unknown. As a result, a plethora of computational tools have… read more here.
Keywords: prediction algorithms; missense variants; clinically relevant; performance ... See more keywords