The English (UK) has to be flawless. The material (entirely) has to be at PhD level.
The attached template has to be followed. The background of Julia vs Python vs R – has to rely on big data [colected from phones/sensors/SaMD devices/wheater etc for personalized medicine as a base for predicting abnormal/dangerous variations of individual hypertension). The research article structure has to: 1. Use DB’s like https://github.com/renatopp/arff-datasets/blob/master/classification/heart.h.arff https://github.com/renatopp/arff-datasets/blob/master/classification/postoperative.patient.data.arff or other DBs (but the link must be accessible) 2. Has to include chapters (not exactly in this order): Intro (max 0.5 pag); state of the art (max 0,5 pag); Implication for practice (max 0,5 pag);
Conclusions (max 0.5 pag); Methodology (0.5 pag); Julia vs Python vs R for researchers (max 1 pag); Julia vs Python vs R for business applications (max 1 pag); Julia vs R in predicting hypertension (using DBs from upper git-links)- min 3 pages (with max 0.5-1 page of coded algorithms but only if is original/important); Future works (0.5-1 pag in the context of Smart medical services [e-Ambulance] in Smart cities).
#Julia #Python #Model #building #amp #prediction #phases
