Machine learning algorithms for systematic reviews: reducing workload in a preclinical review of animal studies and reducing human screening error published as: https://t.co/BrecvjBEIQ #Systematic_Reviews #biorxiv
@MereSophistry I think we'll see the first breakthroughs in an implicit area that may not seem at first like feedback revision...but it's a problem folks are motivated to solve: auto-generating systematic reviews (e.g. RCT meta-analyses): https://t.co/P9Pd
RT @RelisyrMND: To be able to review the large (and rapidly increasing) amount of studies, we use machine learning, text mining and automat…
To be able to review the large (and rapidly increasing) amount of studies, we use machine learning, text mining and automation techniques developed by @CAMARADES_ and @EPPICentre https://t.co/aSF5Cuv7Nf
RT @JafarKolahi: Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducin…
RT @JafarKolahi: Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducin…
Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error https://t.co/OVIjGPy95H https://t.co/IjuMqVTbY8
@Wattseheck @RensvdSchoot Glad you like it, Nick! We're not the only ones with this idea, e.g. https://t.co/c8gRqlTNv3 and references. We have aimed to address some of the issues with existing approaches and benchmarking seems favorable
Machine learning will reduce human screening error in systematic reviews. https://t.co/TlWhsO3xPU
I don't understand the maths but this will be of relevance when you consider the exponential rate of research and how we need to make it accessible without missing anything: https://t.co/6oUQAvrywp
RT @abhiloquacious: That day is not far away when PhDs will have to be awarded to machines!! Here is how machine learning approaches were a…
RT @abhiloquacious: That day is not far away when PhDs will have to be awarded to machines!! Here is how machine learning approaches were a…
That day is not far away when PhDs will have to be awarded to machines!! Here is how machine learning approaches were applied to help citation screening in a systematic review https://t.co/6ZuHKhd2rE
RT @cochranemthds: Machine learning algorithms for systematic reviews - reducing workload in a preclinical review of animal studies & reduc…
RT @cecilejanssens: Reducing workload in systematic reviews: " #machinelearning approaches reached 98.7% sensitivity based on learning from…
RT @cecilejanssens: Reducing workload in systematic reviews: " #machinelearning approaches reached 98.7% sensitivity based on learning from…
Researchers are trying to use machine learning for literature searches. Such methods need a training dataset to tell the program what articles you are looking for. Can this ever be an efficient method?
RT @cecilejanssens: Reducing workload in systematic reviews: " #machinelearning approaches reached 98.7% sensitivity based on learning from…
RT @Cwernlim: Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing h…
Reducing workload in systematic reviews: " #machinelearning approaches reached 98.7% sensitivity based on learning from a training set of 5749 records, with an inclusion prevalence of 13.2%." Screening 5700 articles ... doesn't sound as reducing workload
RT @Cwernlim: Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing h…
RT @Cwernlim: Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing h…
Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error https://t.co/fOK5pv091F #sysrevsj
RT @MedicalEvidence: Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and red…
RT @MedicalEvidence: Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and red…
RT @MedicalEvidence: Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and red…
Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error #sysrevsj #SystematicReview https://t.co/RcM9m8qvjs https://t.co/bmLnbfyVAN
RT @Ed_pheasant: Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducin…
RT @Ed_pheasant: Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducin…
Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error https://t.co/VLpDP83oWy #sysrevsj
RT @Maclomaclee: @MoriahEllen @monalisa1n @evbres Dual screen 4000, feed to machine, first pass sensitivity 95% specificity 70%, then deplo…
RT @Maclomaclee: @MoriahEllen @monalisa1n @evbres Dual screen 4000, feed to machine, first pass sensitivity 95% specificity 70%, then deplo…
@MoriahEllen @monalisa1n @evbres Dual screen 4000, feed to machine, first pass sensitivity 95% specificity 70%, then deploy error correction https://t.co/RRMBOvUIdt ... then text mining to partition by drug/ model/ outcome measure and chew ... @KaitlynHair
RT @EuropePMC: New from #wellcometrust https://t.co/vp2oPzQEIK Machine learning algorithms for systematic review: reducing workload in a pr…
RT @EllaFlemyng: 98% sensitivity & 88% specificity for machine learning algorithms to find relevant publications for a pre-clinical systema…
RT @Students4BE: A recently published article examines machine learning algorithms to optimize integrating humans decisions and automation…
RT @Students4BE: A recently published article examines machine learning algorithms to optimize integrating humans decisions and automation…
RT @Students4BE: A recently published article examines machine learning algorithms to optimize integrating humans decisions and automation…
A recently published article examines machine learning algorithms to optimize integrating humans decisions and automation in systematic review methods. Would make an interesting blog for @Students4BE. Get in touch if you're interested. https://t.co/Fa9pU4Z
RT @MinatoNakazawa: Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and redu…
Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error https://t.co/mABRSbMLq0 これもfmsbを使ってくれている。Kappa.test()。もしかして機械学習業界でfmsb使うの流行ってる??
RT @EuropePMC: New from #wellcometrust https://t.co/vp2oPzQEIK Machine learning algorithms for systematic review: reducing workload in a pr…
RT @EuropePMC: New from #wellcometrust https://t.co/vp2oPzQEIK Machine learning algorithms for systematic review: reducing workload in a pr…
New from #wellcometrust https://t.co/vp2oPzQEIK Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error
RT @ucl_discovery: Open Access UCL Research: Machine learning algorithms for systematic review: reducing workload in a preclinical review o…
Open Access UCL Research: Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error https://t.co/lx44dNBCBw
RT @DrHayleyH: Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing…
Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error https://t.co/nAQ02f5ZYY #sysrevsj
RT @hubertrobitail2: Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and red…
Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error https://t.co/BUMiEmg90J #sysrevsj
RT @EllaFlemyng: 98% sensitivity & 88% specificity for machine learning algorithms to find relevant publications for a pre-clinical systema…
RT @EllaFlemyng: 98% sensitivity & 88% specificity for machine learning algorithms to find relevant publications for a pre-clinical systema…
RT @EllaFlemyng: 98% sensitivity & 88% specificity for machine learning algorithms to find relevant publications for a pre-clinical systema…
RT @EllaFlemyng: 98% sensitivity & 88% specificity for machine learning algorithms to find relevant publications for a pre-clinical systema…
RT @Students4BE: A recently published article examines machine learning algorithms to optimize integrating humans decisions and automation…
RT @EllaFlemyng: 98% sensitivity & 88% specificity for machine learning algorithms to find relevant publications for a pre-clinical systema…
RT @EllaFlemyng: 98% sensitivity & 88% specificity for machine learning algorithms to find relevant publications for a pre-clinical systema…
RT @cochranemthds: Machine learning algorithms for systematic reviews - reducing workload in a preclinical review of animal studies & reduc…
RT @cochranemthds: Machine learning algorithms for systematic reviews - reducing workload in a preclinical review of animal studies & reduc…
RT @cochranemthds: Machine learning algorithms for systematic reviews - reducing workload in a preclinical review of animal studies & reduc…
RT @EllaFlemyng: 98% sensitivity & 88% specificity for machine learning algorithms to find relevant publications for a pre-clinical systema…
98% sensitivity & 88% specificity for machine learning algorithms to find relevant publications for a pre-clinical systematic review: https://t.co/fvQIPGrD8E #SysRevsJ @MedicalEvidence @Maclomaclee
RT @cochranemthds: Machine learning algorithms for systematic reviews - reducing workload in a preclinical review of animal studies & reduc…
Machine learning algorithms for systematic reviews - reducing workload in a preclinical review of animal studies & reducing human screening error: https://t.co/ewI5kG5LYW @MedicalEvidence #SysRevsJ @Maclomaclee
RT @CEBaP_evidence: Is a high-performing machine learning algorithm comparable to human screening achievable to reduce human resources in c…
RT @CEBaP_evidence: Is a high-performing machine learning algorithm comparable to human screening achievable to reduce human resources in c…
Is a high-performing machine learning algorithm comparable to human screening achievable to reduce human resources in conducting systematic reviews? YES, IT IS: https://t.co/tU2ahMfbjD https://t.co/L5xNmqy9MI
RT @njmonline: Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing…
RT @njmonline: Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing…
Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error https://t.co/sHCd4oCz0v
RT @LPiccenna: Application of #MachineLearning algorithms for #systematicreviews to reduce workload and human screening error - this shows…
Application of #MachineLearning algorithms for #systematicreviews to reduce workload and human screening error - this shows great promise and would be incredibly useful https://t.co/ZHKrHnuMTC
RT @Students4BE: A recently published article examines machine learning algorithms to optimize integrating humans decisions and automation…
RT @Students4BE: A recently published article examines machine learning algorithms to optimize integrating humans decisions and automation…
A recently published article examines machine learning algorithms to optimize integrating humans decisions and automation in systematic review methods. Would make an interesting blog for @Students4BE. Get in touch if you're interested. https://t.co/Fa9pU4Z
RT @Maclomaclee: Citation screening for systematic reviews: using machines to identify human errors in the "gold standard" training sets ..…
RT @Maclomaclee: Citation screening for systematic reviews: using machines to identify human errors in the "gold standard" training sets ..…
Peeps & PCs mix it up: How machines can help humans reduce screening burden in #systematicreviews https://t.co/kfq4e0k3t7
RT @Maclomaclee: Citation screening for systematic reviews: using machines to identify human errors in the "gold standard" training sets ..…
RT @Maclomaclee: Citation screening for systematic reviews: using machines to identify human errors in the "gold standard" training sets ..…
RT @Maclomaclee: Citation screening for systematic reviews: using machines to identify human errors in the "gold standard" training sets ..…
RT @Maclomaclee: Citation screening for systematic reviews: using machines to identify human errors in the "gold standard" training sets ..…
Citation screening for systematic reviews: using machines to identify human errors in the "gold standard" training sets ... to better train the machines! https://t.co/IUXIBQPNmY - by @ABannachBrown, with @James_M_Thomas, @CAMARADES_ , and friends ...